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MAHA D ARASHTRA Summer DEMAND S Under Dr (Depu MR. VIJ (Member A ELECTR S Roll MBA (P A AUG r Internshi On SIDE MAN r the Guida r. N.V. Kum uty Director & JAY L SON – Technica At RICITY REG Submitted b ABHINAV No: 112081 Power Mana Affiliated t GUST 2 ip Report NAGEMEN ance of mar ,NPTI) NAVANE al, MERC ) GULATOR by V 12181 agement) o 2012 NT RY COMMI ISSION

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MAHA

D

ARASHTRA

Summer

DEMAND S

Under

Dr

(Depu

MR. VIJ

(Member

A ELECTR

S

Roll N

MBA (P

A

AUG

r Internshi

On

SIDE MAN

r the Guida

r. N.V. Kum

uty Director

&

JAY L SON

– Technica

At

RICITY REG

Submitted b

ABHINAV

No: 112081

Power Mana

Affiliated t

GUST 2

ip Report

NAGEMEN

ance of

mar

,NPTI)

NAVANE

al, MERC )

GULATOR

by

V

12181

agement)

o

2012 

NT

RY COMMIISSION

i  

DECLARATION

I, Abhinav, Roll No. 61, MBA (Power Management), Batch 2011-13 of the National Power

Training Institute, Faridabad hereby declare that the summer training report on:

DEMAND SIDE MANAGEMENT

is an original work and the same has not been submitted to any institute for the award of any

other degree.

A seminar presentation of the Training report was made on date /08/2012 and the

suggestions as approved by the faculty are duly incorporated.

Dr. N.V Kumar Abhinav (Presentation In charge)

Countersigned Mr. S.K. Choudhary

Principal Director of the institute

ii  

ACKNOWLEDGEMENT

I first thank my Project Convener Mr. Vijay L Sonavane, Hon. Member (Technical),

MERC. Without his help and interest it would have been difficult to finish this work.

I would also like to acknowledge Mr. Rajendra G Ambekar, Director (Tariff), MERC for

his valuable support and guidance throughout this project.

I would like to express my deepest gratitude Mr. Siddhartha Rokade, Deputy Director,

MERC. Without his insights and helpful thoughts, I would not have gained as much

information as I have. Their help enabled me to understand the subject.

Special thanks go to all the staff members of MAHARSHTRA ELECTRICITY

REGULATORY COMMISSION, especially Mr Abhishek Moza for their support.

I would also like to thank my Project In-charge Mr N.V Kumar, who always assisted me in

every possible manner; her valuable suggestions were only building blocks of this project.

Words would never be enough to express my gratitude towards our faculty at CAMPS their

unstinted support and guidance throughout this project.

Abhinav

iii  

EXECUTIVE SUMMARY

DSM is believed to be a possible answer to the quest for quality power at cheap prices. The

Maharashtra Electricity Regulatory Commission issued two sets of Regulations in April 2010

to facilitate DSM Implementation in a cost-effective manner:

DSM Implementation Framework and

DSM Measures’ and Programmes’ Cost-Effectiveness Assessment

The DSM Implementation Framework provides the Demand Side Management

implementation framework to be followed by distribution licensees and for matters in

connection therewith and incidental and ancillary thereto.

The DSM Measures’ and Programmes’ Cost-Effectiveness Assessment provides the

methods and principles for assessing cost effectiveness of DSM programmes and charges

recoverable by the distribution licensee in connection therewith and for matters incidental and

ancillary thereto.

Part 1 of the project deals with the study of the existing regulatory framework for DSM

Implementation in the state of Maharashtra.

Under the existing regulatory framework the distribution licensees in the state of Maharashtra

have undertaken a number of pilot programmes at selected locations and concentrations of

their respective consumer bases.

Part 2 of the study target set by the utilities in their respective on-going pilot programmes and

their progress as on today.

The study reviews some international experiences in the field of DSM implementation and

their success.

Part 3 of the study is the analysis of thermal storage system their functioning and progress in

the state of Maharashtra. Some international experiences will also be analysed in this section.

iv  

LIST OF FIGURES

Figure1.3.1 Peak demand met during May 2012

Figure1.5.1 Load shapes

Fig 2.3.2.1: EDF’s tempo and standard TOU rates

Fig 12.4.1 Process map for M&V

Fig 13.1 Detailed structure of DSM E,M&V guiding principles

Fig 3.6.1 Plant & Two layer Control Architecture

Fig 3.6.2 Logic regulation for a chiller with four capacity partialization steps.

Fig 3.6.3: The flowchart of A/C load management potential study

Fig 3.6.4 Scheme plot of the chilling system

Fig 3.6.5: Temperature Distribution of the water in the tank

Fig 3.8.1: Electric demand curves and the storage cycle of the stratified chilled water storage

system for an electronic manufacturing facility in Dallas, Texas

v  

LIST OF TABLES

Table 1.3.1 Total generation capacity as on 30-06-2012(Sector Wise)

Table 1.3.2 Total generation capacity as on 30-06-2012(Fuel Wise)

Table 1.3.3Peak demand met and peak shortage in 2nd week of July (all regions)

Table 1.4.1 Total state generation & exchange on 18-07-2012

Table 1.4.2 Details on Maharashtra state peak load demand

Table1.5.1 Impact & cocst of Califofrnia’s DSM effort

Table 2.3.2.1: Steps for developing a TOU rate

Table 3.1.1 Details of T5 FTL projects by TPC-D & R-infra

Table 3.1.2.1 Details of program of 5-star fans by TPC-D & R-infra

Table 3.1.3.1 Details of program of 5-star fans by TPC-D & R-infra

Table 3.1.4.1 Details of program of gas geyser

Table 3.1.2.1 Details of program of 5-star rated ACs R-infra

Table 3.1.6.1 Details of Gas Water Heater Program

Table 3.1.7.1 Status of pilot projects

Table 3.2.2.1 Effects of DSM in California

Table 3.4.1 Overview of IPMVP options

Table 3.7.1 Tata power DSM pilot program design: thermal storage

vi  

ABBREVIATIONS

DSM Demand Side Management

MERC Maharashtra Electricity Regulatory Commission

CERC Central Electricity Regulatory Commission

CEA Central Electricity Authority

PAT Perform Achieve & Trade

CDM Clean Development Mechanism

EM&V Evaluation Monitoring & Verification

EE R&M Energy Efficient Renovation and Modernization

DSM-cc Demand Side Management Consultation Committee

GoI Government of India

NDC National Development Council

DR Demand Response

HEMS Home Energy Management System

MW Mega Watt

TPC-D Tata Power Corporation-Distribution

TPC-G Tata Power Corporation-Generation

O&M Operation and Maintenance

OEM Original Equipment Manufacturer

TOU Time of Use

TOD Time of Day

R&M Renovation and Modernization

IPMVP International performance Monitoring & Verification Protocol

UNFCCC United Nations Framework Convention on Climate Change

vii  

Table of Contents

Acknowledgement…………………………………………………………………………….ii

Executive Summary…………………………………………………………………………..iii

List of figures…………………………………………………………………………………iv

List of tables…………………………………………………………………………………...v

Abbreviations ………………………………………………………………………………...vi

Table of contents……………………………………………………………………………..vii

Chapter-1

Introduction

1.1. Organizational profile………………………………………………………………….1

1.1.1. Formulation of MERC…………………………………………………………….1

1.1.2. Functions of commission………………………………………………………….2

1.2. Objective of the study………………………………………………………………....4

1.3. Indian power scenario…………………………………………………………………5

1.4. Power Scenario in Maharashtra……………………………………………………….7

1.5. Introduction to DSM………………………….……………………………………….9

1.5.1. Evolution of DSM……………………………………………………………….12

1.5.2. US experience with DSM………………………………………………………..14

1.5.3. California success story …………………………………………………………15

Chapter-2

Literature survey, policy & research methodology

2.1. Literature review ………………………………………………….…………………….18

2.2.Research methodology……………………………………………………..…………….22

2.3. Price responsive DSM program…………………………………………………………23

2.3.1. Load curtailment program……………………………………………………….23

2.3.2. Dynamic pricing program……………………………………………………….25

2.4. DSM in India…………………………………………………………………………….30

viii  

2.5.DSM regulations in Maharashtra…………………………………...……………………33

2.5.1. DSM implementation framework…………………………..……………………33

2.5.1.1.Basic principles……………………………………………………………….34

2.5.1.2.DSM guiding principles………………………………………………………35

2.5.1.3.DSM program eligibility criteria……………………………………………..36

2.5.1.4. Development and submission of DSM portfolio and plans………………….36

2.5.1.5. Role of DSM-CC…………………………………………………………….37

2.5.1.6.Responsibilities of distribution licensees related to DSM planning and

implementation……………………………………………………………….38

2.5.1.7.DSM funding………………………………………………………………....39

2.5.1.8.Evaluation measurement and vrification……………………………………..41

2.5.1.9.Monitoring and reporting……………………………………………………..42

2.6.DSM measures’ and program cost effectiveness assessment…………………………….43

2.6.1. Total resource cost test…………………………………………………………..43

2.6.2. Ratepayer impact measure test…………………………………………………..45

2.6.3. Life-cycle revenue impact-RIM test……………………………………………..46

2.6.4. Correction factors for power shortage situation…………………………………46

2.6.5. Values of key inputs used in test………………………………………………...46

CHAPTER-3

On-going pilot projects and draft regulation

3.1. On-going pilot projects for entire consumer base in Maharashtra..…...…………….48

3.1.1. T5 FTL program………………………………………………..…………….49

3.1.2. Programs on 5-star fans………………………………………………………50

3.1.3. 5-star split AC program………………………………………………………50

3.1.4. R-Infra pilot program on gas geyser…………………………………….……51

3.1.5. 5-star refrigerator program by R-Infra……………………………………….52

3.1.6. Gas water heater program………………………………….…………………52

3.1.7. Review of progress of approved DSM pilot programs……….………………55

3.2. International case studies………………………………………………….………….57

3.2.1. DSM case studies in China…………………………………………...………57

3.2.2. DSM case study in California, US...…………………………………………60

3.3. International standards……………………………………………………………….62

ix  

3.4. IPMVP…………………………………………….………………………………….62

3.5. Draft Regulations:DSM Program’s Evaluation, Measurement & Verification…69

3.6. Thermal storage device…………………………………………………...………….71

3.6.1. System model………………………………………..……………………….71

3.6.2. Plant structure…………………………………………………………..…….73

3.6.3. Control structure……………………………………………………..……….73

3.6.4. Main subsystems of cooling systems………………………………………...77

3.7. TPC-D’s initiative on thermal storage in Mumbai……...……………………………78

3.8. International experience……………………………………..……………………….81

CHAPTER-4

Conclusion & recommendation

4.1. Conclusion……………………………………………………………………………….83

4.2. Recommendation………………………………………………………….…………….84

1  

Chapter-1

INTRODUCTION

1.1. Organizational Profile

1.1.1. Formulation of MERC

The conceptualization of independent Regulatory Commission for the electricity sector dates

back to early 1990s, when the National Development Council (NDC) Committee on Power

headed by Shri Sharad Pawar, the then Chief Minister of Maharashtra recommended in 1994,

constitution of “independent professional Tariff Boards at the regional level for regulating the

tariff policies of the public and private utilities”. The Committee reiterated that “the Tariff

Boards will be able to bring along with them a high degree of professionalism in the matter of

evolving electricity tariffs appropriate to each region and each State”.

The need for constitution of the Regulatory Commission was further reiterated in the Chief

Minister’s Conference held in 1996. The Common Minimum State Action Plan for Power

evolved in the Conference inter-alia “agreed that reforms and restructuring of the State

Electricity Boards are urgent and must be carried out in definite time frame; and identified

creation of Regulatory Commissions as a step in this direction”. Thus was enacted the

Electricity Regulatory Commissions Act, 1998 paving way for creation of the Regulatory

Commissions at the Centre and in the States. The 1998 Act was enacted with the objective of

distancing Government from the tariff regulation. The Act provided for Electricity

Regulatory Commissions at the Centre and in the States for rationalization of electricity tariff,

transparent policies regarding subsidies etc. Under the provision of this act The MERC was

established on August 5, 1999 under the Electricity Regulatory Commission Act, 1998, a

Central Act which was superseded by Electricity Act (EA), 2003. The Commission is

continued as provided under Section 82 of the EA, 2003. The Act was mandated to promote

competition, efficiency and economy in the power sector and to regulate tariffs of power

2  

generation, transmission and distribution and to protect the interests of the consumers and

other stakeholders.

1.1.2. Functions of the Commission

The functions of the Commission as stated under the Section 86 of the Electricity Act (EA),

2003 are as following:

To determine the tariff for generation, supply, transmission and wheeling of

electricity, wholesale, bulk or retail, as the case may be within the State.

To regulate electricity purchase and procurement process of distribution

licensees including the price at which electricity shall be procured from the

generating companies or licensees or from other sources through agreements

for purchase of power for distribution of supply within the State.

Facilitate intra-State transmission and wheeling of electricity.

Issue Licenses to persons seeking to act as transmission licensees, distribution

licensees, and electricity traders.

Promote cogeneration and generation of electricity from renewable sources of

energy.

Adjudicate upon the disputes between the licensees and generation companies

and to refer any dispute for arbitration.

Levy fee for the purposes of this Act.

Specify State Grid Code.

3  

Specify or enforce standards with respect to quality, continuity and reliability

of service by Licensees

Fix the trading margin in the intra-State trading of electricity, if considered,

necessary.

Discharge such other functions as may be assigned to it under this Act

Advise the State Government as mandated under Section 86(2) of the EA,

2003.

4  

1.2. Objective of the study

Indian power sector has been dominated by utilities which have been dominated by

government sector and Power planning in India has been supply oriented. The power sector

was thrown open to the private players in early nineties and government intervention was

reduced by bringing regulatory commissions. But the changes being planned were still supply

oriented which emphasizes on increasing the generating capacities to match the projected

demand.

In rapidly growing economy of India, the energy requirements have been increasing at a very

fast pace. In order to meet the increasing demands of residential, commercial as well as

industrial consumers for quality power energy conservation and efficient use of available

power should be emphasized. Other than capacity addition, which takes long time and huge

capital, Demand Side Management (DSM) provides an answer to the quest for more power.

Objective of this study is to analyse the various DSM opportunities in Maharashtra and pilot

projects started by the utilities. The study will mainly emphasize on the Thermal Storage

Project by Tata Power Corporation – Distribution.

5  

1.3. Indian Power Scenario

In the recent past, the demand for power in India has increase significantly with the robust

economic growth.

At end–June 2012, the country’s generation capacity stood at 205 GW, recording a

compound annual growth rate of over 8.5% during the 11th five year plan.

Table 1.3.1 and 1.3.2 shows the breakup of generation capacity sector wise and fuel wise

respectively.

Sector MW %age

State Sector 86,275.40 42.01 Central Sector 62,073.63 30.22 Private Sector 56,991.23 27.75 Total 2,05,340.26

*source: MoP website

Table 1.3.1 Total generation as on 30-06-2012(Sector Wise)

Fuel MW %age

Total Thermal 136436.18 66.44

Coal 116,333.38 56.65

Gas 18,903.05 9.20

Oil 1,199.75 0.58

Hydro( Renewable) 39,291.40 19.13

Nuclear 4,780.00 2.32

RES**(MNRE) 24,832.68 12.09

Total 2,05,340.26 100.00

*source: MoP website

**Renewable Energy Sources (RES) include SHP, BG, BP, U&I and Wind Energy

Table 1.3.2 Total generation (fuel wise) as on 30-06-2012

 

Instead of capacity addition the problem of peak load management by the utilities still

persists.

Figure 1.3.1 shows the countrywide peak demand met during the month of May’2012 .

6  

*source: NLDC

Fig 1.3.1 Peak demands met during may 2012

Figure 1.3.3 shows the peak shortage and peak demand met in the 2nd week of July ’2012 in

all five national grids in India.

*source: NLDC

Table 1.3.3 peak demand met and peak shortage in the week (region wise)

7  

1.4. Power Scenario in Maharashtra

Fig 1.4.1 Total state generation & exchange on 18-07-2012

*Source: www.mahasldc.in

 

8  

Fig 1.4.2 Details on Maharashtra state peak load demand

*Source: www.mahasldc.in

As we can see from the previous tables fulfilling peak demand and reducing peak shortage to

maximum extent is the need of day. To achieve this target of peak shortage reduction DSM

can be touted as 5th fuel. There are various ways in which DSM can help in peak shortage

reduction:

Shifting the consumption to off peak periods.

Energy efficient appliances are to be promoted.

Emphasize energy conservation by incentives and awareness programs.

Improving agricultural usage pattern.

9  

1.5. Introduction To DSM

Demand-side management (DSM) refers to cooperative activities between the utility and its

customers (sometimes with the assistance of third parties such as energy services companies

and various trade allies) to implement options for increasing the efficiency of energy

utilization, with resulting benefits to the customer, utility, and society as a whole.

Such programs have multitude of objectives. Some important of them are:

“Peak lopping” to reduce energy consumption during daily system peak. This is done

by using technologically more advanced and efficient consumer end equipment on

services like heating cooling etc.

“Valley filling” to build up off peak loads to flatten load curves improve system load

factor and consequently more revenue.

“Load Shifting” which can be alone by Thermal Storage

Energy conservation at the consumer end by use of energy efficient equipment.

Energy efficiency programs are to be considered along with the cost of achieving the

energy conserved in comparison with the cost of procuring the quantum of energy

that may have to be purchased i.e. cost in Rs. per KWh of conserved/ saved with that

of energy procured/purchased.

There are 3 main categories of utility DSM programs viz (i) Energy Conservation (ii) Load

Management and (iii) Strategic Load Growth.

Energy Conservation Program: - This is intended to be achieved by using equipment

with improved efficiency, building and industrial processes.

Load management Programs:- This is achieved by redistributing energy demand to

spread it more evenly i.e. load shifting program offering time of use tariff and

interruptible power tariff rates etc.

Strategic Load growth program: - Programs that uncover cost effective electrical

technologies that operate primarily during periods of low electricity demand.

These concepts were summarized in a number of reports published by groups such as EPRI

and others in the 1980s and early 1990s.

 

The foll

DSM.

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11  

new markets and customers. Flexible load shape involves making the load shape responsive

to reliability conditions.

In the aftermath of the Enron debacle in the US, and California’s disastrous attempt at

deregulating the power industry, policy makers in developing countries have become wary of

restructuring.

Governments should begin their liberalization program by focusing on pricing reform. As a

general rule, prices should convey to consumers the cost of the resources that are used to

make a product, and convey to investors the returns they can expect to get by making the

product.

Supposing an acceptance of the underlying assumption that electricity should be viewed as a

“commodity” instead of a “public good,” the principle stated above is equally applicable to

electricity. When consumers do not see the real cost of electricity in their power bills, they

over consume energy, and that misdirects excessive capital and fuel resources to the power

sector.

This is especially true during peak periods, when the cost of producing electricity is much

higher than during the off-peak periods, largely because electricity cannot be stored in large

quantities economically due to technological reasons.

Example: U.S. utility DSM programs can be divided into seven categories:

(1) General information to increase customer awareness of energy use and of opportunities

to save energy.

(2) Technical information, including energy audits, which identify specific recommendations

or improvements in energy use;

(3) Financial assistance in the form of loans or direct payments to lower the first cost of

energy-efficient technologies

(4) Direct or free installation of energy-efficient technologies.

(5) Performance contracting, in which a third party contracts with both the utility and a

customer and guarantees energy performance.

(6) Load control and load shifting, in which the utility offers financial payments or bill

reductions in return for controlling a customer’s use of certain energy-using devices

(such as electric water heaters and air conditioners) or in return for customer adoption of

technologies that alter the timing of demands on the electric system (such as thermal

storage).

12  

(7) Innovative tariffs, such as time-of-day and real-time prices, price signals that can

enhance the effectiveness of other DSM programs

1.5.1. Evolution of DSM

U.S. utility DSM programs began modestly in the 1970s in response to growing concerns

about dependence on foreign sources of oil and environmental consequences of electricity

generation, especially nuclear power. Utility DSM programs grew rapidly during the late

1980s as state regulators provided incentives for utilities to pursue least-cost or integrated

resource planning principles. Electric utility DSM programs reached their largest size in

1993. We expect DSM programs to continue on two parallel paths reflecting the changing

business interests of electric utilities in a restructured industry as well as continuing public

interest in the environmental consequences of electricity generation.

Over the past three decades, DSM activity in the U.S. (and to a large extent in Canada) has

been characterized by five waves of programs. In many ways, this evolution of activity in the

North America parallels developments around the globe. To provide a frame of reference on

how DSM needs to evolve to changing utility structures in the developing world, these five

waves that characterize the North American DSM experience are briefly described below.

First Wave: 1970s

The first wave took place from the mid to late 1970s and was triggered by the Arab Oil

Embargo of 1973 and the Iranian Revolution in 1979. Both events served to raise the cost of

energy and created a rationale for conserving energy. Thus, the focus of this wave of DSM

activity was on designing and implementing energy conservation and load management

(C&LM) programs.

It was generally recognized that electricity prices did not reflect the new marginal costs and

since prices were to be taken as a given for political reason, other ways had to be found to

give customers an incentive for reducing usage. Programs were initiated to reduce loads on

the presumption that it was less expensive to reduce loads through DSM than build new

power plants. Because of the crisis mind set, this crop of programs was designed to achieve

quick results. Not much time and budget went into monitoring and evaluating program

impacts. There was a heavy reliance on “soft” measures such as information and audits. On

the pricing front, time-varying rates were instituted for large commercial and industrial

13  

customers. And 16 experiments were conducted in the U.S. by utilities, in concert with the

U.S. Federal Energy Administration (a precursor to the U.S. Department of Energy) with

time-of-use (TOU) pricing for residential customers.

Second Wave: 1980s

The second wave took place during the 1980s. During the first part of the decade, there was a

focus on achieving a comprehensive set of load shape objectives, including energy

conservation, load management and strategic electrification, where the latter means

expanding the uses of electricity to achieve other objectives such as economic development.

It was expected that DSM programs would be regarded as playing a key role in utility

resource planning. This led to the concepts of least-cost planning and integrated resource

planning. In the second half of the decade, concerns surfaced that large DSM expenditures on

energy efficiency and conservation programs were resulting in revenue losses to the utilities.

These concerns were justified, since DSM spending was lowering sales but the utilities had to

cover their fixed costs regardless of the amount of electricity that was sold. Several

“decoupling mechanisms” were devised to make the utilities whole by ensuring that they

would recover their revenue requirement regardless of the amount of power sold. In other

words, recognizing that utilities had large fixed costs, the mechanisms would ensure that

sufficient revenues would be collected to cover these fixed costs, even if sales went down.

This was achieved by raising electric rates by a small amount to cover the revenue deficiency

created by lowered sales volumes. A series of cost-effectiveness tests were developed to

ensure that programs would reflect the often-conflicting perspectives of the utility, its

customers and society. Some experiments were carried out with real-time pricing (RTP).

Third Wave: Early 1990s

The third wave came in the early 1990s. It was brought on by new regulatory mechanisms for

implementing DSM programs, comprised of the decoupling mechanism mentioned above,

provisions for cost recovery and incentives to shareholders for investing in energy efficiency

programs. The shareholder incentives involved raising the allowed rate of return to the utility

in response to its performance on its DSM programs. DSM activity expanded rapidly in some

states, but there was resistance in several others. There was a new focus on measuring the

environmental benefits of DSM programs. The year 1993 was the high water mark for DSM

spending in the US. Annual DSM spending reached $3.2 billion and represented 1.7 percent

of utility revenues. DSM programs were in place in 447 utilities. In the mid-1990s,

14  

competition from independent power producers, using natural gas-fired, modular combustion

turbines, became a serious threat to the viability of vertically integrated utilities. They began

to institute a wide range of cost-cutting measures and any programs that were placing an

upward pressure on rates were eliminated or reduced in size. Many DSM programs,

especially the ones that emphasized energy efficiency measures, fell in this category. Thus,

DSM expenditures dropped dramatically as utilities geared up for competition.

Fourth Wave: Late 1990s

The fourth wave came in the late 1990s. Regulators were concerned that DSM expenditures

were on the decline. They instituted a “public goods charge” to cover DSM expenditures.

These were imposed as a charge on the sale of electricity by distribution utilities and had to

be paid regardless of who was the ultimate power provider. DSM programs were

administered by distribution utilities and often implemented by third-party energy service

companies (ESCOs). From 1989-99, utilities had spent a total of $14.7 billion on energy

efficiency programs.

Fifth Wave: 2000 Onwards

The fifth wave began in the year 2000, and was triggered by price spikes in wholesale power

markets. It got a boost in the year 2001, as California experienced a serious power crisis that

spread quickly to cover all Western states. In this phase, there was widespread interest in

implementing pricing reform rather than relying on traditional DSM programs. In particular,

there was interest in dynamic pricing. This is a form of time-varying pricing that goes beyond

static TOU pricing. Dynamic pricing is a form of pricing in which either the price for a period

is unknown ahead of time, or the time when a known price will be called is unknown. It has

been available to large customers for years, as real-time pricing (RTP). The digital revolution

has now brought it to mass-market customers.

1.5.2. U.S. Experience with DSM DSM energy efficiency programs evolved in the United States during the 1980s primarily as

utility demand-side resource investments. Regulators considered efficiency investments an

integral part of a utility’s overall resource portfolio, and required these investments when

they lowered costs as compared to utility supply-side resources, a process known as

integrated resource planning, or IRP. Utilities designed and implemented energy efficiency

15  

programs for their customers, while regulators determined how to measure cost effectiveness,

approved budgets, verified results, and, in many jurisdictions, provided regulatory incentives

designed to align utility financial motives with ratepayer interest in achieving cost-effective

efficiency investment, thus avoiding more expensive supply-side alternatives (Harrington and

Murray 2003).

In the United States, more than 500 utilities implemented DSM programs from 1985- 1995,

saving more than 29 GW of peak load. The average upfront cost of implementing this energy

savings was only 2 to 3 cents per kilowatt-hour, far below the average tariff. The Rand

Corporation issued a report in 2000 that quantified the benefits of California’s utility energy

efficiency programs, finding that DSM programs operated since 1977 have provided benefits

to the state economy of U.S. $875 to 1,300 per capita (1998) and reduced air pollution

emissions from stationary sources by approximately 40% (Nadel 2000).

DSM programs in the United States, as in many countries, faltered in the wake of electric

utility restructuring and the belief that market forces would be sufficient to provide energy

efficiency. In the United States, investment in ratepayer-funded energy efficiency, not

including load management expenditures, declined dramatically from $1.6 billion in 1993 to

$900 million in 1997. Much of this decline can be attributed to the elimination of regulatory

requirements for utilities to conduct IRP and DSM programs (York and Kushler 2003). More

recently, however, many jurisdictions have come to realize that comprehensive DSM

programs are essential, even after power sector reform, to fill in the gaps left by the market in

providing energy efficiency. Total U.S. spending on utility DSM has risen steadily to $1.10

billion in 2000. Even more important, a wide variety of states and utilities have realized the

benefits of DSM in providing long-term solutions to electricity system reliability concerns

(Kushler and Witte 2003).

1.5.3. California Success Story

The most prominent example is California, whose leadership in energy efficiency and DSM

substantially reduced the economic and environmental damage associated with the state’s

severe energy crisis of 2001. In response to the crisis, Californians reduced their total

electricity consumption in 2001 by 6.7 percent (weather adjusted) compared to 2000, even as

the economy continued to grow. These demand reductions did not occur spontaneously, but

16  

in response to a series of coordinated DSM measures and policies that were already in place

(NRDC/SVMG 2001).

By 1999, California’s energy efficiency investments and standards had already removed

about 10,000 megawatts from its peak demand, the equivalent of 20 large power plants. In

2001, the governor was able to use these programs, including public education programs,

rebates and other financial incentives, to coordinate the most successful state wide energy

conservation program in history. Consumers bought record numbers of energy-efficient

appliances in 2001, including nearly 100,000 high-efficiency refrigerators (more than five

times that in 2000) and 4 million compact fluorescent light bulbs (NRDC/SVMG 2001).

These concerted efforts on the part of millions of Californians in 2001 enabled the state to

avert a recurrence of its 2000 electricity crisis. A 2003 study examined the magnitudes,

sources, and costs of the savings contributing to California’s successful DSM deployment.

The following table summarizes the results of the study by Global Energy Partners of the

impacts and costs of California’s combined efforts:

na = Not Applicable [a] For a complete definition of the program categories, please see Table ES-1. [b] Los Angeles Department of Water and Power (LADWP) and Sacramento Municipal Utility District (SMUD). [c] City of San Francisco and City of Berkeley. [d] Includes 20/20 Rebate program (discounted for double counting), and residual effects, including the Flex Your Power public awareness campaign, free media coverage, and increasing rates. [e] Based on weighted average lifetimes of measures for each program category, and a discount rate of 8%.

Table1.5.1: Impact & Cost of California’s DSM effort

17  

In all, the study found that 218 programs spent a total of U.S. $893 million in 2001 to save

3,389 MW of summer peak demand and 4,760,184 MWh of annual energy usage at a lifetime

cost of 3 cents/kWh (Global Energy Partners 2003).

Recognizing the value of DSM programs, especially in a restructured electricity market,

California substantially increased funding for utility DSM programs in 2001 to more than

U.S. $480 million, an increase of more than 50% over 2000 levels. The legislature also

extended until 2012 the use of the system benefit charge, a small surcharge on every

California utility bill. This surcharge will raise more than U.S. $5 billion of investment in

energy efficiency, renewable energy, and technology development, the largest sustainable

energy fund ever created by a single legislative action (NRDC/SVMG 2001). In addition, in

May 2003, the state’s three largest investor owned utilities announced plans to expend U.S.

$2 billion over the next five years on DSM. Of this total, U.S. $720 million is for

procurement of resources above and beyond the U.S.$1.1 billion funded by the current

system benefit charge (SBC), a small surcharge on customers’ utility bills. As part of this

renewed commitment, the utilities are seeking clarity on regulatory treatment, including cost

recovery rules (McCarty et al., 2003).

Substantial inexpensive efficiency resources are still available in California. New evidence

shows that over the next decade, California could realistically and cost effectively reduce its

electricity needs by an additional 900 MW—the equivalent of 12 giant power plants—while

avoiding the environmental damage associated with electricity generation. This added

investment in efficiency would save California an estimated U.S.$12 billion (NRDC/SVMG

2003).

18  

CHAPTER-2

LITERATURE SURVEY, POLICY & RESEARCH

METHODOLOGY

2.1. Literature review

Who Should Administer Energy Efficiency Programs? - Carl Blumstein, Charles

Goldman, Galen Barbose, University of California Energy Institute, [USA, August 2003]

The restructuring of the US electricity industry, in order to create a competitive wholesale

electricity market, in turn created numerous problems for traditional, publicly-supported

energy efficiency programs, where through Integrated Resource Planning, and funding from

consumer charges, demand-side energy efficiency issues were addressed. Market

transformation activities were instead encouraged, for example, the promotion of business

model restructuring and capacity building and education programs. However, with changes to

the regulatory environment made in the wake of the Californian power system collapse of

Winter 2000-2001, a number of issues relating to the administration of energy efficiency

programs were raised, including the institutional structure of an administrative body, driving

factors for policy-makers in considering EE program administration, and many more.

The paper begins by assessing the various elements of energy efficiency program delivery,

include co-ordination of the program, development, budgeting, implementation, and

evaluation. The criteria to be considered in choosing an administrator for EE programs are

then discussed, including the necessary incentive structure, administrative compatibility with

policy goals, and other factors. Four case studies of U.S. Regions are then provided, with

varying models for the administration of EE programs, including California and New York

state. Finally, conclusions are drawn, assessing various candidates for energy efficiency

administrators.

Energy Efficiency Labels and Standards: A Guidebook for Appliances, Equipment and

Lighting – Stephen Wiel, James E. McMahon, Collaborative Labelling and Appliance

Standards Program (CLASP), USA, [2005]

One of the first steps taken in the creation of energy efficiency programs is often the

establishment of standards & labelling programs for consumer products. This guidebook

seeks to act as the primary reference for policy-makers, government officials, and other

interested parties in their efforts to implement such programs, and contains a complete

19  

overview of the issues surrounding standards & labelling activities. The benefits and

problems with energy efficiency labels and standards are discussed, as well as the human and

institutional resources necessary for ensuring the development and maintenance of such

programs. A comprehensive breakdown on the design, development, implementation,

monitoring and evaluation of standards & labelling programs is also provided.

Policies for Increasing Energy Efficiency: Thirty Years of Experience in OECD

Countries –Howard Geller (Southwest Energy Efficiency Project, USA), Phillip Harrington

(Department of Infrastructure, Energy and Resources, Tasmania, Australia), Arthur H.

Rosenfield (California Energy Commission, USA), Satoshi Tanishima, Fridjof Unander

(International Energy Agency), [2006]

The importance of energy efficiency measures to developed economies is widely recognised,

and it is posited that without the energy efficiency measures that have been undertaken in

OECD countries over the last thirty years, energy consumption would have been 49% higher

than that observed in 1998. This paper seeks to examine the policies and instruments that

have been implemented in OECD nations over the previous three decades, firstly by

reviewing the energy intensity trends in all OECD countries from 1973 onwards, in order to

ascertain the true contribution of energy efficiency measures to energy intensity reduction,

and then by conducting an in-depth analysis of the energy policies and programs adopted in

Japan, the United States and Western Europe, as well as a comprehensive look at Californian

policy in particular. The examination of global energy policy begins with a sectoral look at

Japanese policy, encompassing residential, commercial, industrial and transportation issues.

The section for the United States examines the effect that federal governance can have on

energy efficiency, describing both local and national programs, as well as the effect these

programs have had on overall energy savings. Western European policy is similarly analysed,

on a national and multi-national level.

Policies for Promoting Industrial Energy Efficiency in Developing Countries and

Transition Economies – Aimee McKane, Lynn Price, Stephane de la Rue du Can, Lawrence

Berkeley National Laboratory, prepared for UNIDO, [2007]

As one of the most energy intensive sectors in the global economy, the industrial sector is

surprisingly often overlooked by policy-makers when assessing options for improving energy

efficiency. Particularly in developing countries, an energy-intensive industrial sector can

create tension between continued economic development and a constrained or ineffective

20  

energy supply. Common perceptions hold that public policy is insufficient in dealing with

such a complex issue as industrial energy efficiency, and that market pressures alone are

sufficient to ensure improvements. This paper provides a portfolio of coherent, proven policy

options under the international Industrial Standards Framework, in an effort to introduce a

standardised methodology for the design of industrial energy efficiency programs. Under this

framework, it is proposed that cost-effective energy reductions in industry of 18-20% are

entirely feasible. The paper begins with an overview of industrial sector trends in energy

consumption, covering economic development and manufacturing productivity, as well as

energy consumption. A comparison of these trends in developing and developed countries is

made also. The opportunities for, and barriers to, improving industrial energy efficiency are

then discussed, followed by a comprehensive description of the model industrial standards

framework, encompassing energy management standards, capacity-building, financing and

fiscal policies, and more. The paper concludes with a set of recommendations for policy-

makers in implementing the standardised framework.

Realising the Potential of Energy Efficiency: Targets, Policies and Measures for G8

Countries – Expert Group on Energy Efficiency, United Nations Foundation, USA, [2007]

Energy efficiency improvements are widely seen as the cheapest and surest means of creating

energy savings, sustaining economic growth and curbing carbon emissions. This report

proposes that the G8+5 countries undertake ambitious, but achievable, programs to double

the historical rate of energy efficiency improvement, avoiding the need for up to US$3

trillion in new generation capacity in the period 2012-2030. In addition, to achieve this goal,

a set of proven policy options is provided, covering a variety of sectors, to help policy-

makers create effective national strategies. Finally, a framework for co-operation between

G8+5 nations is suggested, including proposals for annual summits, and internationally-

comparable data collection for energy efficiency. The report begins with a brief summary of

the technical and economic benefits of energy efficiency, before recommending international

and national strategies for realising energy efficiency potential, including cross-sectoral

measures, and incentives for public- and private-sector investment. The report then goes on to

highlight a number of individual policies for the building, transportation, industrial and

energy supply sectors, as well as assessing the overall potential for energy efficiency in each

sector. Finally, the report briefly explains how the proposed measures could be applied in

developing and transition economies

21  

Fuelling Sustainable Development: The Energy Productivity Solution - Diana Farrell,

Jaana Remes, Dominic Charles, McKinsey Global Institute, [October 2008 ]

A number of developing countries with emerging economies are encountering the problem of

ageing or insufficient energy supply infrastructure, when faced with growing energy demands

to fuel economic growth. This paper proposes that the most cost-effective way of dealing

with energy supply concerns is through improving energy productivity, the economic output

that a country can achieve with the energy it uses. Through improving demand-side

efficiency, fuel imports can be reduced, and planned expansion of supply infrastructure can

be scaled back, alleviating unnecessary pressure on the economy. In addition, the MGI

estimates that global cost savings of up to US$600 billion per year could be achieved through

the utilisation of energy efficient technologies. The report begins with a complete

introduction into the concept of energy productivity, as well as the potential benefits that its

improvement could have globally. An in-depth analysis is then undertaken, quantifying the

current state of a number of factors that could be affected by energy productivity

improvements, including per-capita CO2 emissions, energy supply mix by fuel source, and

many more. Accompanying this analysis are a number of comparative explanations between

countries and regions. The report goes on to propose a selection of enabling policy

mechanisms for energy productivity improvements, and explain the wide range of potential

benefits for business in creating markets for energy efficiency in developing economies.

A Description of Current Regulatory Practices for the Promotion of Energy Efficiency –

The International Confederation of Energy Regulators, [June 2010]

The challenges facing the growth in energy efficiency globally are numerous, from an

unaddressed need for systematic information gathering and under-researching of the field, to

a lack of comparative analysis of different approaches to promote energy efficiency. This

report provides information on regulatory practices in the world's energy markets designed to

foster energy efficiency. A wide range of approaches are identified in this report, from legal

and regulatory obligations, to consumer information campaigns, instituted by a variety of

bodies, from government departments to national energy regulators. In addition, a number of

energy efficiency indicators, such as primary energy intensity and primary energy

consumption

22  

2.2. Research methodology

This project of is based on the basic concept of research methodology. The following

concepts are directly or indirectly used while doing this project.

Research Design

This study is an exploratory research to understand the concept of DSM, the current

framework of DSM implementation in the state of Maharashtra and international experiences

in the area. The study attempts to look at the future of DSM in India.

Universe and Survey Population

The universe in this case consists of the DSM pilot projects in state of Maharashtra as well as

in the world.

Sample

The sample taken consists of few pilot projects in Maharashtra

Collection of Data

Various Regulations, codes and Commercial records are sources of data for this study.

Analysis Pattern

Data analysis is done by comparative study of handling similar issues in other state s and

nations across world

23  

2.3. Price responsive DSM program

This emphasize price responsiveness, and are aimed at introducing a negative slope in the

demand curve in order to let demand and supply balance out at a reasonable price of

electricity during tight market conditions.

Programs involving demand response to price signals are not widely available in developing

and transition economies at this time.

This program basically consists of two categories:

Load curtailment programs that pay the customer for reducing peak load

during critical times.

Dynamic pricing programs that give customers an incentive to lower peak

loads in order to reduce their electricity bills.

Both types of programs are largely designed to relieve peak capacity constraints but they

could also be used to retain customers in a restructured market context.

2.3.1. Load curtailment program

Load curtailment programs include traditional programs that are based on an up-front

incentive payment and new market-based programs that involve a pay-for-performance

incentive payment. The former include direct load control of residential air conditioners and

water heaters, and curtail-able and interruptible rates for commercial and industrial

customers.

The latter include programs that pay a certain amount of money for each MWh of electric

load that is curtailed during critical time periods. These are sometimes also called demand

bidding or buyback programs as well.

These programs introduce price responsiveness in restructured power markets and were

developed in the aftermath of the California crisis. There are two types of market-based

programs, one that deals with emergency situations by improving system reliability, and

another one that deals with economic situations by mitigating the rise in wholesale prices.

Internationally these programs are implemented by the Independent System Operator (ISO,

which is sometimes called the Independent Market Operator). The utilities can help in

24  

creating customer awareness. Energy service companies can act as aggregators that bid

demand reductions during critical times.

Large commercial and industrial customers are often the main participants in such programs.

Sometimes, program can include large multi-family dwellings. Program participants benefit if

they have the flexibility in their business or technological processes to curtail peak loads

during a few hours of the year.

Incentive payments are made to customers to induce them to reduce peak loads. In some

variants, there is also a penalty for non-compliance. A pre-requisite for these programs is an

agreed upon methodology for measuring customer base load (CBL), against which the

curtailed amounts can be measured.

In another variant of the program design, customers may bid “negawatts” of load reductions

at pre-specified prices. But its not very popular among consumers because of their inability to

think systematically think about the financially opportunity created by bidding, since

management focus is often diverted by higher priority issues dealing with running the

business.

The largest component of program cost is the incentive payment. Other elements of program

cost include administrative costs associated with program management, some program

evaluation cost and some marketing cost.

Experience with such programs indicates that it can be difficult to recruit customers into such

programs even when the economic benefits are clear. Utilities should explain in lay terms

what the customer has to do in order to save money and what the risks are of not seeing those

savings. If the savings look small in relation to day-to-day expenses and life priorities, it is

hard to get the customer involved in the “distraction.”

One cannot expect customers to get “smarter.” The ISOs and utilities have to position

themselves as being the customer’s partner in helping balance electricity demand with

electricity supply in order to manage electricity costs.

Benefits to utility:

It is non-polluting (when curtailment used).

It has the advantage of being fully distributed across the service area.

It’s available more quickly than the traditional thermal plant.

It incurs no T & D line losses.

25  

It responds faster than a traditional plant; and can be used when bilateral

scheduling and exchange closes.

It helps utility to better manage the grid and available supply by utilizing

voluntary instead of involuntary load shedding.

It costs less to create and run than a traditional plant or short term power

purchase.

It creates additional revenue for large power cucstomers which greatly increases

the satisfaction with the utility.

It complies regulatory requirements, and helps meet indian government objectives

of climate change mitigation.

Benefits to Participating Consumers:

Focus on longer-term efficiency / become part of solution.

Contribute to an overall more stable supply from the Grid (which will eventually

improve their own situation)

Benefits to environment and everyone:

It incentivized the reduction in power wastage by consumers.

It helps to achieve better overall energy efficiency

It greatly reduces emissions.

2.3.3. Dynamic pricing programs

Dynamic pricing programs are designed to lower system costs for utilities and bring down

customer bills by raising prices during expensive hours and lowering them during

inexpensive hours, as discussed further below. Their load shape objective is to reduce peak

loads and/or shift load from peak to off-peak periods.

Such programs can be implemented at any stage of power sector reform. There are successful

examples of power sectors that have not been deregulated and are served by vertically

integrated electric utilities, and successful examples where the sector has been fully

deregulated.

The electric utility is most often the primary party responsible for program design,

implementation, and evaluation and monitoring. Since these programs involve the

implementation of new metering and billing systems, they are often conducted in close

26  

coordination with providers of such systems. In some cases, the programs involve the

installation of end-use controlling equipment, such as smart, price-sensitive thermostats.

Thus, they may involve the installers and manufacturers of such equipment.

Such programs can be targeted at any class of customer, ranging from the residential class to

the commercial class to the industrial class. Most often, they begin with the industrial class of

customers, and within a particular class they begin by targeting the largest customers.

The market implementation mechanism is the rate design itself. This is often accompanied by

an educational campaign to inform customers about the benefits of dynamic pricing. In some

cases, technical assistance may be provided to assist customers in benefiting from the

incentives that are implicit in the rate design.

Time-of-Use Pricing (TOU)

This rate design features prices that vary by time period, being higher in peak periods and

lower in off-peak period.

The simplest rate involves just two pricing periods, a peak period and an off-peak period.

More complex rates also have one or more shoulder periods.

Developing a TOU rate

It is fairly straightforward to develop a TOU rate design. The following table shows the steps

involved in developing a revenue-neutral TOU rate.

Such a rate would leave the average customer’s bill unchanged if that customer chose to

make no adjustments in their pattern of usage.

Of course, a customer who uses less power in the peak period than the average customer

would be made better off by the rate even without responding to the rate and a customer who

uses proportionately more power in the peak period than the average customer would be

made worse off by the rate if he or she did not respond to the rate.

27  

Existing Flat Rate

Per-Customer Class Revenue Requirement

Monthly Usage

Average Price

Revenue Neutral TOU Rate

Estimated Peak Usage

Estimated Off-Peak Usage

Set Peak Price = Peak Marginal Cost

Set Off-Peak Price = Off-Peak Marginal Cost

Given Class Revenue Requirement

Given Monthly Usage

TOU Rate with Load Shifting

Estimated Price Elasticity

Estimated New Peak Usage

Estimated New Off-Peak Usage

Estimated New Monthly Usage

Estimated New Monthly Bill

Estimate Bill Savings = Revenue Loss

Rs 100

1000 kWh

Rs 0.10 / kWh

200 kWh

800 kWh

Rs 0.2 /kWh

Rs 0.075 kWh

Rs 100

1000 kWh

-0.2

160 kWh*

840 kWh*

1000 kWh

Rs 95

Rs 100 – 95 = Rs 5

Table 2.3.3.1: Steps for developing a TOU rate 

28  

Critical Peak Pricing (CPP)

This rate design layers a much higher critical peak price on top of TOU rates. The CPP is

only used on a maximum number of days each year, the timing of which is unknown until a

day ahead or perhaps even the day of a critical pricing day.

Designing a CPP Rate

Under this rate design, customers are on TOU prices for most hours of the year but

additionally face a much higher price during a small number of critical hours when system

reliability is threatened or very high prices are encountered in wholesale markets because of

extreme weather conditions and similar factors.

In 1993, EDF introduced a new rate design, tempo, and now has over 120,000 residential

customers on it. The program features two daily pricing periods and three types of days. The

year is divided into three types of days, named after the colours of the French flag. The blue

days are the most numerous (300) and least expensive; the white days are the next most

numerous (43) and mid-range in price; and the red days are the least numerous (22) and the

most expensive. The ratio of prices between the most expensive time period (red peak hours)

and the least expensive time period (blue off-peak hours) is about fifteen to one, reflecting the

corresponding ratio in marginal costs.

Fig 7.2.1: EDF’s tempo and standard TOU rates

29  

Extreme Day Pricing (EDP)

This rate design is similar to CPP, except that the higher price is in effect for all 24 hours for

a maximum number of critical days, the timing of which is unknown until a day ahead.

Extreme Day CPP (ED-CPP)

This rate design is a variation of CPP in which the critical peak price and correspondingly

lower off-peak price applies to the critical peak hours on extreme days but there is no TOU

pricing on other days.

Real Time Pricing (RTP)

This rate design features prices that vary hourly or sub-hourly all year long, for some or

customer’s entire load. Customers are notified of the rates on a day ahead or hour-ahead

basis.

Each of these rates exposes customers and utilities to varying amounts of risk. For example,

RTP rates are riskiest from the customer’s viewpoint since the utility simply passes through

the wholesale costs to the customer. These rates have minimal risk to the utility. CPP rates

carry less risk to the customer, since they know the prices ahead of time and the time for

which these prices will be in effect is limited.

30  

2.4. DSM in India

Reddy et al (1991, 1993) proposed a development focussed end-use oriented (DEFENDUS)

electricity scenario for Karnataka in 1991. This evolved possibly the first least cost plan for

an Indian state. Considering renewable and energy conservation options, Nadel et al (1991)

examined the potential for improved end-use efficiency in India. A Demand Side

Management plan for the high tension industrial segment in Maharashtra was chalked up by

BaneIjee and Parikh (1994) in 1993 (Details of the plan are reported in Parikh, et al., 1994).

There have been a number of other studies to determine the potential for specific DSM

options or DSM potentials for a consumer class or a region (studies by consultants,

institutions like Tata Energy Research Institute, International Energy Initiative, non-

governmental organisations like Prayas (Sant and Dikshit, 1994).However even years after

the publications of these studies, very little has been done in terms of implemented DSM

programmes. It is often felt that this is caused by the supply bias of the utility.

Utility Response to the DSM

For the purpose of analysis, it will be assumed that the decision maker in the utility

(Discoms) is rational and is not biased towards supply. Given the existing policies and

pricing structure how should the utility react to DSM ?

In formulating the utility response, the following characteristics of the utility should be

considered:

(a) The utility is a monopoly.

(b) The utility has a peak shortage and an off-peak surplus.

(c) There are variations in the tariffs to different consumer classes with the industrial and

commercial consumers cross subsidising the and domestic consumers.

(d) There is a limit on the total revenues of the Discoms. A maximum rate of return of 3 % on

net fixed assets is permitted by government policy.

Most of the utilities resort to load shedding to control the peak demand. Utilities also find it

difficult to raise capital for new power plants. In this context they should be willing to

examine DSM as an option. In order to shortlist possible DSM programmes for

implementation the utility would adopt the following criteria:

31  

(a)Low Transaction Cost For the DSM: Programmes to be viable the transaction cost

should be a small proportion of the total programme cost.

(b)High Potential Saving There should be a significant potential for saving for the

DSM measures selected.

(c) Revenue Considerations DSM programmes should not adversely affect the

revenue balance of the State Electricity Board (Discoms)

(d) Customer Viability The customer should be willing to adopt DSM measures, viz.

The payback periods for the customer should be low.

Recommendation of Integrated Energy Policy for DSM

The following recommendations have been made in the integrated Energy Policy Report of

the Planning Commission Government of India

The importance of energy efficiency and DSM has clearly emerged from the various

supply scenarios and is underlined by the rising oil, coal and other fuel prices.

Efficiency can be increased in energy extraction, energy conversion, energy

transportation, as well as in energy consumption. Further, the same level of service

can be provided by alternate means requiring less energy. Thus a “Negawatt” (a

negative Megawatt),produced by reducing energy need saves more than a

Megawatt generated

A study for the Asian Development Bank (ADB, 2003) estimated an immediate

market potential of energy savings of 54,500 Million Units and peak saving of 9240

MW. This has an investment potential of Rs.14,000 crores (3500 Million US

Dollars). Though there is some uncertainty in any aggregate estimates, it is clear that

the cost-effective saving potential is at least 10% of the total generation through

Demand Side Management.

In actual practice there are several barriers that constrain the adoption of EE/DSM.

These relate to high transaction cost, lack of incentives to utilities who perceive DSM

as loss of market, inadequate awareness, lack of access to capital, perceived

uncertainty concerning savings, high private discount rate and limited testing

32  

infrastructure for ascertaining savings. Policy interventions are required to address

these barriers.

BEE (Bureau of Energy Efficiency) should be made autonomous and independent of

the Ministry of Power. It should be funded by contribution from all energy Ministries

or a cess on fuels and electricity adjusted for cess on fuels used for generating

electricity. BEE staffing should be substantially strengthened.

Implementing Time of Day (TOD) Tariffs: All utilities should introduce TOD tariffs

for large industrial and commercial consumers to flatten the load curve. Utilities

should support load research to understand the nature of different sectoral load

profiles and the price elasticity of these loads between different time periods to

correctly assess the impact of differential tariffs during the day.

Improving efficiency of Municipal Water pumping:- Institute measures that

encourage adoption of efficient pumping systems and shifting of pumping load to off-

peak hours. The public sector should be mandated to do so. Private sector could be

encouraged to do so through time of day pricing. This will help reduce peak demand

and energy demand.

Promoting Variable Speed Drives: All large industries should be required to assess

suitability of variable speed drives for their major pumping and fan loads.

Undertaking efficient Lighting Initiative: Utilities should launch pilot efficient

lighting initiatives in towns/cities (similar to the BESCOM programme in

Bangalore). Features should include warranties by manufacturers, deferred payment

through utility bill savings.

Regulatory commissions can allow utilities to factor EE/DSM expenditure into the

tariff.

Each energy supply company/utility should set-up a DSM/energy efficiency cell.

BEE can facilitate this process by providing guidelines and necessary training inputs.

A large number of pilot programmes that target the barriers involved and have low

transaction costs need to be designed need to be tried with different institutions,

incentives, and implementation strategies. Innovative programme designs can be

rewarded.

 

33  

2.5. DSM regulations in Maharashtra

In exercise of the powers conferred by sub-section (1) of Section 181 and clause (zp) of sub-

section (2) of Section 181 of the Electricity Act, 2003 and all other powers enabling it in this

behalf, the Maharashtra Electricity Regulatory Commission hereby makes the following

Regulations:

1. Maharashtra Electricity Regulatory Commission (Demand Side Management

Implementation Framework) Regulations, 2010

2. Maharashtra Electricity Regulatory Commission (Demand Side Management

Measures and Programmes’ Cost Effectiveness Assessment) Regulations, 2010

2.5.1. DSM implementation framework

The DSM Implementation Framework is the primary regulatory document facilitating DSM

implementation in the state.

It is organised under the following heads:

Basic Principles on which the DSM Implementation in the state is planned

Guiding Principles that specifically outline the role of the Distribution Licensee

DSM Programme Eligibility Criteria

The detailed outline for the Development and Submission of DSM Portfolio and

Plans

Role of the DSM Consultation Committee (DSM – CC)

Responsibilities of the Distribution Licensees related to DSM Planning and

Implementation

DSM Funding

DSM Programme, Portfolio and Annual Work Plan and its Approval Process

Evaluation, Measurement and Verification

Monitoring and Reporting

End of DSM Programme Completion Report

Selection Criteria: Methodology for Selection of DSM Programmes to be include in

the DSM Plan

Selection Criteria for other Programmes to be included in the Plan

34  

Power to Remove Difficulties

Issue of Order and Practice Directions

Power to Amend

2.5.1.1. Basic principles

This is covered under clause 3 of the regulation and it basically gives a broad description of

the principles for how every Distribution Licensee shall make DSM an integral part of their

day-to-day operations, and undertake planning, designing and implementation of appropriate

DSM programmes on a sustained basis.

It also speaks of the means to recover all justifiable costs incurred by the utilities in any DSM

related activity, including planning, designing, implementing, monitoring and evaluating

DSM programmes, by adding these costs to their Annual Revenue Requirement to enable

their funding through tariff or by implementing programmes at the Consumers’ premises that

would attract appropriate Return on Investment.

Distribution Licensees shall be guided by these regulations:

(i) While planning and submitting long-term power procurement plan to the

Commission as part of their application seeking determination of tariff;

(ii) While submitting to the Commission the measures proposed to be implemented by

them as regards load management, energy conservation and energy efficiency;

(iii) While submitting to the Commission the impact on energy and demand, together

with the cost-benefit analysis.

Distribution Licensees shall be guided by the MERC (Demand side Management Measures

and Programme’s Cost Effectiveness Assessment) Regulations, 2010 while carrying out cost-

effectiveness.

35  

2.5.1.2. DSM guiding principles

Major highlights of this clause are:

Quick-gain; long-term savings

Stakeholder consultation

Align programs with BEE’s EE/EC efforts

Create a separate DSM Consultation Committee

Other than that it speaks about the duties of distribution licensees. Duties enlisted in the

clause are:

1. Distribution Licensees shall implement quick acting DSM programmes that provide

long-term savings.

2. Distribution Licensees shall propose and implement programmes bringing in energy-

efficiency in the premises used for the following purposes - commercial, public-

sector, residential, municipal, industrial and agricultural use.

3. Distribution Licensees shall implement programmes that help reduce peak demand

peak shifting and associated costly power purchase, specifically in the urban centres.

Such programmes shall also include Demand Response initiatives involving

consumers agreeing to modulate their load shapes through a contract with the

licensee.

Distribution Licensees formulate DSM programme designs that provide sustainable benefits

(market transformation), and which particularly:

1. Enhances consumer interest and inclination in adopting load management and

energy efficiency.

2. Enhances the interest and the willingness of the intermediaries such as the banks to

lend for energy efficiency measures.

3. Enhances emergence or development of sustainable energy delivery entities.

Distribution Licensees shall implement programmes that are:

1. Cost effective for total resources;

36  

2. Do not put undue burden on non-participants (those who do not participate in the

DSM programmes) and participants (those who participate in the DSM programmes

3. Directly or indirectly benefit the consumers in all segments from the programmes.

Design, development and implementation of DSM programmes that supplement national

level efforts, specifically those promoted by the Bureau of Energy Efficiency (BEE)

“Market Driven” approach to DSM portfolio selection

Ensuring pragmatic implementation of programmes and also consumer awareness and

education

Setting up of a nodal agency – the DSM Consultation Committee to drive the programme

implementation under these regulations, and to recommend DSM Programme to the

Commission for approval

2.5.1.3. DSM programmes eligibility criteria A DSM programme shall be eligible if in the opinion of the Commission the said programme

meets with the DSM guiding principles specified in Regulation 4 of these Regulations.

2.5.1.4. Development and submission of DSM portfolio and plans

a) Distribution Licensees shall formulate DSM Plans based on Load Research activities

and submit the findings to the Commission in the form of “DSM Plans”.

b) Distribution Licensees shall specify DSM targets and submit DSM plan based on

multi-year planning horizon.

c) The term of the DSM plan shall correspond with the Multi-year Tariff term.

d) Distribution Licensees shall submit Multi-year DSM plans along-with the multi-year

tariff filing provided that till the time the multi-year tariff filings are made,

Distribution Licensees shall submit DSM plans as one-year targets and reconcile

those as Multi-year plans when the multi-year tariff filings are made.

e) DSM Plan shall contain prioritisation and implementation schedule for each DSM

programme in the Plan, which shall form the basis for deriving aggregated year wise

37  

schedules for funds requirement, and DSM plan achievements in terms of savings or

shifting/reduction of peak load.

f) The aggregated year-wise funds requirement and proposed achievements shall be used

as annual DSM budgets and annual targets, respectively.

g) At the beginning of the multi-year planning cycle, the Commission shall accord

approval to the DSM Plan, based on the Cost-effectiveness of the individual

programmes and portfolio.

2.5.1.5. Role of DSM consultation committee (DSM-CC)

The DSM – CC is the nodal agency for the formulation and successful implementation of the

DSM initiatives and programmes undertaken by the various Distribution Utilities in the state.

This section of the DSM Implementation Framework deals with the formation of the DSM –

CC – primarily its composition and its role. The objectives and functions of the committee

are clearly articulated in this section.

The objects and functions of the DSM Consultation Committee shall be to:

Assist the Commission in DSM programme and DSM Plan evaluation;

Advise the Distribution Licensees on conducting perpetual Load Research to seek

information on end-use technologies, usage patterns, willingness to pay, perception

studies and impacts of already implemented DSM programmes;

Promote cross-learning among the Distribution Licensees and other stakeholders to

design appropriate DSM programmes and plans;

Undertake or direct research and analysis work related to:

1. Development of database and centralised information system

2. Development of guidelines/regulations resulting in facilitation of DSM

programme implementation

3. DSM and demand response potential studies;

4. Development of innovative Tariff offerings to promote DSM.

Review DSM programme, portfolio and DSM Plans submitted by the distribution

licensee;

Review common programmes across Distribution Licensees (common procurement,

common specifications for equipment/technology);

Oversee activities of the Distribution Licensees related to DSM Plan preparation and

DSM Programme Design;

38  

Create avenues for training/capacity building within Distribution Licensees;

Assist in maintaining centralized information system and data base;

Drive market research and consumer surveys that would be useful for the Distribution

Licensees to design DSM Programmes and Plans;

Provide assistance to the Commission to institute DSM Plan/programme monitoring

and EM&V as and when required;

Act as a platform for:

Sharing of experience with respect to the entire DSM implementation cycle,

comprising creating knowledge-base among the employees of licensee, DSM Plan

preparation, Load Research, Integrated Resource Planning (IRP), DSM programme

design, implementation, monitoring, review and evaluation;

Interaction and coordination with the Commission and knowledge partners;

Sharing of experience with respect to DSM technology development;

Joint interaction with financiers and bankers;

Joint development/running of: Awareness campaigns, awareness activities,

establishment and running of EC/EE Centres, Joint Organisation of Consumer inter-

action sessions, Exhibitions, etc.

Development of Case studies, consultant/vendor directories and technology database.

2.5.1.6. Responsibilities of the distribution licensees related to DSM planning and implementation

Distribution licensees shall evolve feasible strategies to implement all DSM-related

activities.

Distribution licensees shall nominate a nodal officer with whom the DSM

Consultation Committee can interact with.

In addition to the overarching activities promoted by the DSM-CC, Distribution

Licensees shall carry out the following specific activities:

1. Load research and consumer surveys;

2. Integrated Resource Planning (IRP) exercise that includes DSM as a key

resource in power planning;

3. Load forecasting and energy consumption baseline development;

4. Capacity development of their employees through training;

39  

5. DSM Plan preparation;

6. DSM Programme design;

7. Annual DSM Budget and work plan preparation and filing of the same with

the Commission for approval;

8. Implementation of DSM plans and programmes that are approved by the

Commission;

9. Fulfilling Annual reporting requirements as may be notified by the

Commission by order and quarterly reporting of programmes implemented;

10. Setting up DSM programme level dispute resolution mechanism and

resolution of disputes, if any;

11. Performing DSM plan and programme level EM&V (Evaluation,

Measurement & Verification) as may be notified by the Commission by

order;

Providing inputs to:

1. Centralised Information system / database development work;

2. Research and analysis work;

3. DSM and demand response Potential studies;

4. Load forecasting model development efforts

Any other activities suggested by the DSM-CC or as directed by the Commission.

2.5.1.7. DSM funding

Funding of all the DSM programmes and plans to be implemented by the Distribution

Licensees shall be included in the Annual Revenue Requirements (ARR).

Distribution Licensees shall be allowed to recover all costs incurred by them in any

DSM related activity, including planning, conducting load research, designing,

implementing, monitoring and evaluating DSM programmes, by adding these costs to

their ARR to enable their funding through tariff structure.

Since the DSM costs are being recovered through tariffs, only those DSM activities

that adhere to the Regulations related to Cost Effectiveness Assessment shall be

implemented by the Distribution Licensees.

40  

The Commission may direct the Distribution Licensees to adopt other complementing

DSM funding approaches such as creating a pool of funds through collection of public

benefits charge at a later date; if such an approach is found beneficial.

Distribution Licensees shall obtain the prior approval of the Commission for

implementing DSM Programmes at the consumer premises through equity placements

provided that such programmes shall be eligible for Return on Investment and would

be evaluated during the ARR approval process.

DSM budget

The following provisions apply:

1. Distribution Licensees shall set up a Multi-year DSM plan and DSM programme

budgets and submit the same during the MYT approval and Annual Revenue

Requirements (ARR) approval process.

2. The budget shall be spent only after approval of aggregated DSM Plans and/or

individual DSM Programmes by the DSM Consultation Committee.

3. DSM implementation plan and associated budgets shall be substantiated with the

prioritization of the possible programmes within the license area.

4. The DSM budget to be spent every year shall be substantiated with the kW and kWh

savings targets where such targets shall be developed by carrying out detailed load

research activity and implementing DSM programmes that may be directed by the

DSM Consultation Commit-tee proactively for the benefit of consumers in the State.

Distribution Licensees shall submit year-wise schedule of DSM plan implementation

and corresponding budget allocations relevant to the savings or shifting/reduction of peak

load.

a) The aggregated year wise funds requirement and achievements shall be the annual

DSM budgets and annual DSM targets, respectively.

b) These annual DSM budgets and targets, determined and approved at the be-ginning

of the planning cycle shall be revisited during the Annual Performance Review.

c) The DSM Consultation Committee may take special account of measures taken by

Distribution Licensees to develop carbon finance programmes using the Clean

Development Mechanism of the United Nations Framework Convention on

Climate Change (UNFCCC) or any other voluntary carbon financing protocol.

41  

d) Funding for DSM activities other than DSM plan implementation Distribution

licenses shall seek separate budget approval from Commission for additional

expenses (beyond the DSM programme and DSM plan implementation) to be

incurred for activities such as carrying out load research, consumer surveys, DSM

plan and programme development activities, research and analysis, funding of any

activities proposed by the DSM-CC, conduct of potential studies, training &

development, etc.

e) Allocation of funds for consumer awareness, audits and equity considerations

Distribution Licensees shall be allowed to spend a reasonable amount, pre-

approved by the Commission on recommendations by the DSM-CC to promote

programmes of the nature described below:

o DSM Programmes that:

a. Promote consumer awareness and education about why, how, when

and where of load management/energy efficiency and include

activities such as:

i. Energy audits,

ii. Awareness campaigns,

iii. Energy Efficiency and Load Management demonstration

projects.

iv. Training programmes, seminars, workshops, round tables,

conferences, business exchange meets (buyer-seller meets)

v. Establishment of permanent display/demonstration centres

cum model “green”/ ultra-energy efficient buildings (buildings

that go beyond ECBC – Energy conservation Building Codes).

b. DSM Programmes for consumers below poverty line/consumers

consuming less than 100 units per month (generally considered as

low income consumers)

2.5.1.8. Evaluation, measurement & verification (EM&V)

1. Distribution Licensees shall be guided by the MERC (Evaluation, Measurement &

Verification) Regulations

42  

2. Notwithstanding the above, till such time that such MERC (Evaluation, Measurement

& Verification) Regulations come into force, the DSM programmes implemented by

the Distribution Licensees shall be evaluated based on measurement & verification

protocols submitted in the individual programmes or aggregated plans and validated

by the DSM-CC.

3. The Commission may empanel Independent Verification Contractors (IVC) to carry

out the Evaluation, Measurement & Verification plans.

4. The Distribution Licensees shall appoint the empanelled IVCs to carry out the EM&V

plans.

5. The Commission may decide to carry out EM&V activity for individual

programme(s) or entire plans by directly appointing empanelled IVCs.

2.5.1.9. Monitoring & Reporting

1. Distribution Licensees shall submit quarterly and annual DSM monitoring plans to the

Commission.

2. The evaluation methodology shall be governed by the MERC (Evaluation,

Measurement & Verification) Regulations.

3. Notwithstanding the above, till such time that such MERC (Evaluation, Measurement

& Verification) Regulations come into force, the distribution licensee shall submit

monthly and quarterly monitoring reports to the Commission for all pilot-phase and

large-scale DSM programmes based on the proposed monitoring plans embedded in

the programme/plan designs.

43  

2.6. DSM Measures’ and Programmes Cost Effectiveness Assessment The DSM Measures’ and Programmes’ Cost Effectiveness Assessment hereby  provides 

Regulations,  for methods  and principles  for  assessing  cost effectiveness of DSM programmes 

and charges  recoverable by  the distribution  licensee  in connection  therewith and  for matters 

incidental and ancillary thereto. 

These Regulations will be used  to assess  the economic‐effectiveness of a programme or plan 

and under simple assumptions regarding some of the decision variables such as, inter alia, DSM 

measure/programme  costs  and  impacts  (both,  energy  –  kWh  and  demand  –  kVA  or  KW), 

discount rate, life, escalation rate and avoided cost.  

Other than giving detailed Cost-Effectiveness criteria for DSM programmes, the document

outlines three mathematical tests for the purpose:

1. Total Resources Cost Test

2. Ratepayer Impact Measure Test

3. Life-Cycle Revenue Impact – RIM Test

2.6.1. Total resources cost test

TRC as the main hurdle test: All DSM programmes that show positive number for the Net

Present Value (NPV) of the Benefits over the NPV of Costs should be considered for evaluation

of RIM test. NPV for a DSM measure/programme shall be determined as the difference

between B and C,

Where:

B = NPV of measure/programme benefits discounted over a specified time period

C = NPV of measure/programme costs discounted over a specified time period

Let:

The measure/programme benefit in year “t” be “Bt”,

The discounting rate be “r”,

The time period for discounting is say “n” years,

then B can be expressed as:

44  

Similarly if:

The measure/programme cost in year “t” is say “Ct”,

The discounting rate is say “r”,

The time period for discounting is say “n” years,

then C can be expressed as:

n

C = Σ [(Ct)/ (1+r) ^(t-1)]............................... (Equation 2)

t=1

4. Cost elements for the TRC test shall be determined considering the following.

a) The cost of efficient device/equipment/appliance/ technology or

practice, including the applicable taxes, duties and levies;

b) Installation, trial and commissioning costs associated with efficient

device/equipment / appliance/practice/technology;

c) Yearly operation and maintenance costs over the life of the

measure/programme;

d) Old inefficient equipment removal and safe disposal costs (if the DSM

measure/programme involves replacement or retrofitting)

e) Programme administration, monitoring and evaluation costs

f) Programme marketing costs.

Benefits of a DSM programme or a DSM measure are the savings in the energy (kWh)

consumed and/or savings in the demand (kW). The kWh savings shall be calculated based on

the number of hours the energy efficient appliance/equipment is used and number of days in a

year the appliance/equipment is used. These savings usually occur at the point of use and are

experienced by the consumer installing a DSM measure or consumer participating in a DSM

programme. To arrive at the avoided purchase of power by the licensee, the participant

savings at the point of use have to be suitably adjusted to account for system transmission and

distribution losses. The benefits have to be valued over the period over which the assessment

is to be carried out.

45  

2.6.2. Ratepayer impact measure test

Cost elements mentioned below shall be used in “equation 1”

a) The cost of efficient device/equipment/appliance/ technology or practice,

including the applicable taxes, duties, levies, etc. paid for by the licensee or to

the extent paid for by the licensee;Installation, trial and commissioning costs

associated with efficient device/equipment/appliance/practice/technology paid

by the licensee or to the extent paid by the licensee;

b) Yearly operation and maintenance costs over the life of the

measure/programme paid for by the licensee or to the extent paid for by the

licensee;

c) Old inefficient equipment removal and safe disposal costs (if the DSM

measure/programme involves replacement or retrofitting) paid for by the

licensee or to the extent paid for by the licensee;

d) Programme administration, monitoring and evaluation costs paid for by the

licensee or to the extent paid for by the licensee;

e) Programme marketing costs, including incentives, if any, paid by the licensee

or to the extent paid for by the licensee;

f) Decrease in licensee revenues due to the DSM programme.

Benefits of the DSM programme shall be calculated as “Avoided Cost of Power Purchase”. If

savings due to a DSM programme/measure at point of use in year “t” are ΔSt, and if

transmission and distribution losses in the same year are TLt and DLt, expressed as a

percentage, respectively, the Avoided purchase of power in year “t” (APPt) by the licensee

would be = ΔSt/[(1-TLt) x (1-DLt)]. If, rate of power purchase in year “t”, is Rt, then avoided

power purchase cost (APPCt) in year “t” would be: = APPt x Rt

Any reduction in “intra-state transmission charges”, as a result of reduction in the

average co-incident peak demand of the licensee shall be considered as a “benefit” under this

test.

While calculating energy and demand savings as benefits, year-on-year escalation rate

of 5% should be considered (Discount rate = 10.5%)

Benefits and costs; shall be calculated over the “Life” of the technology being

deployed.

46  

Distribution Licensee shall use the “warranted” life of the retrofit by the technology

provider as it is important to ensure that the savings considered are realized over the life-span

of the equipment/appliances. Alternately, “life” as may be defined by the DSM Consultation

Committee shall be used.

2.6.3. Life-cycle revenue impact – RIM test

LRIM test shall be conducted using same data used for calculating the RIM test

Difference between NPV of Cost and NPV of Benefits shall be divided with total

utility kWh sales to determine the rate impact on the non-participants.

Distribution Licensees shall also submit results of two more tests – Participants Cost

Test (PCT) and Societal Cost Test (SCT); though these are not considered in the

decision-making.

2.6.4. Correction factors for power shortage situations The Cost Effectiveness tests when applied in the power shortage situations will have

to be substantiated by sound information on the hours of usage of pre and post-DSM

programme implementation for the end-uses that are retrofitted or changed or

installed newly.

Measurement and verification process to be followed for the power shortage

situations shall be designed in order to review the actual number of hours post

implementation

2.6.5. Values of key inputs used in the tests

The default input values to be considered by all Distribution Licensees in the State,

shall be as follows:-

a. Avoided cost of power purchase for TRC, RIM and PCT – Weighted Average

of Highest Marginal Cost of Power Purchase related to top 10% of energy use

stack for the past one year as computed by Maharashtra State Load Despatch

Centre

b. Avoided cost of power purchase for SCT - Rs. 10.6/kWh (prevalent for diesel

generator sets)

47  

c. Escalation rates for power sales, avoided cost of purchase – 5% year-on-year\

d. Discount rate for TRC and RIM tests – 10.5%

e. Discount rate for PCT – 13%

f. Discount rate for SCT – 10%

The values are subject to change upon review by the commission.

48  

CHAPTER-3 ONGOING PILOT PROJECTS AND DRAFT

REGULATION

3.1. On-going Pilot Projects For Entire Consumer Base In Maharashtra

Distribution Licensees in the state of Maharashtra are:

• 2 Private Owned DL: TPC-D & R-Infra-D

• 1 State Govt. owned DL: MSEDCL (Biggest DL in country)

• 1 DL owned by Local Authority i.e. Municipal Corporation BEST

Reliance Infrastructure Limited (R-Infra) and Tata Power are the two major distribution

licensees who have been spearheading the DSM activities in the state of Maharashtra through

pilot programmes and other initiatives.

Common programmes undertaken by both the distribution Licensees:

T5 FTL Programme

Programme on 5-Star Fans

Programme on 5-Star Split AC

Programmes undertaken by R-Infra:

Gas – Geyser Programme

5 – Star Refrigerator Programme

LT Capacitor Installation Programme for Consumers

Competence Building

Programmes undertaken by Tata power:

Gas Water Heater Programme

49  

3.1.1. T5 FTL programme

T5 FTL is more energy efficient which helps in reducing energy consumption and also

system peak demand. Therefore, the T5 – FTL programme was undertaken, which envisages

the replacement of existing lighting fixtures with T5 – FTL.

The product was offered in two designs:

T5 Putty and

T5 Connect with higher power factor (>0.95) and low THD (<10%)

R-INFRA TPC-D

TARGET MARKET All Consumer Categories in

Supply Area

Residential, Industrial and

Commercial Consumers

Programme Features Replacement of

1,00,000 FTLs

Warranty Period

offered – 2 Years

Rebate:

– Residential: Rs 200 –

Commercial: Rs150

Number of T5s allowed:

– Residential: 2

– Commercial: 5

– Industrial: 10

Free installation by

skilled electrician

Disposal in Eco friendly

way

860 Consumers

Registered; nearly

1,40,000 fittings replaced

Warranty Period offered –

2 Years

Rebate:

– Residential: Rs 250

– Commercial: Rs150

Number of T5s allowed:

– Residential: 3

– Commercial: 5

– Industrial: 10

Free installation by

skilled electrician

Disposal in Eco friendly

way

Table 3.1.1 Details of T5 FTL projects by TPC-D & R-infra

R-Infra launched the programme in its entire supply area.

50  

Extensive promotions through the “Change for Mumbai” campaign on Radio, Electricity

Bills, the company websites, SMS, e-Mailer etc. helped make the programme a success.

3.1.2. Programme on 5-star fans

This programme was designed to create awareness on the benefits of using energy efficient

appliances and also to remove barriers on its purchase. It envisaged the replacement of

inefficient ceiling fans by energy efficient 5-star rated fans.

Product Offered: BEE labelled 5 star rated 1200 mm ceiling fan

R – Infra TATA Power

Target Market Residential Consumers with

monthly consumption less

than 500 kWh

LT – I Residential

Programme

Features

Replacement of 5000

nos. Of fans under the

pilot program

Warranty period – 2

years

Rebate of Rs535 per fan

will be given by the

utility after the purchase

of 5-star rated fan

Replacement of 5000 nos.

Of fans under the pilot

program

Warranty period – 2 years

Rebate of Rs535 per fan will

be given by the utility after

the purchase of 5-starrated

fan

Table 3.1.2.1 Details of program of 5-star fans by TPC-D & R-infra

3.1.3. 5 – star split ac programme The pilot program was designed for switching over to 5-star rated split ACs from existing

window units. It helped to reduce energy consumption with decrease in peak demand.

Product Offered: BEE-labelled 5-star split ACs of 1 Ton and 1.5 Tons (labelled after

October 2009 and any further revisions)

51  

R – Infra TATA Power

Target Market Non-Government, Commercial

Consumers having load < 20 kW

with 300 – 500 kWh per month

Consumption

LT – Industrial

Programme Features Replacement of 200 window

Acs

Warranty period – 1 year for

machine & 4 years for

compressor

Rebates: Post-paid through

electricity bill which will be

Rs5000 for 1 Ton and

Rs7000 for 1.5 Ton 5- star

rated split Acs

Replacement of 250

window Acs

Warranty period – 1

year for machine & 4

years for compressor

Rebates will be post-

paid through

electricity bill which

will be Rs5000 for 1

Ton and Rs7000 for

1.5 Ton 5-star rated

split AC

Table 3.1.3.1 Details of program of 5-star fans by TPC-D & R-infra

3.1.4. R-Infra pilot programme on gas geyser

Preface A pilot program for replacing Electric geyser by Gas

geyser.

Designed to create awareness on the benefits of using

Gas geyser and also to remove barriers on its purchase.

Target Market Residential Consumers of Reliance Energy and

Mahanagar Gas ltd.

Product Offered Gas Geyser (technically specified by MGL)

Project Features Replacement of 1000 nos. Of Gas geyser under the pilot

program

52  

Rebate of Rs. 3000 per Gas geyser will be given by the

utility after the purchase under the program.

Table 3.1.4.1 Details of program of gas geyser

3.1.5. 5 star refrigerator program by R-Infra:

Preface A pilot program for replacing Old inefficient refrigerator by 5

star EE refrigerators.

Reduction in peak load as refrigerator being base load

Target Market Residential Consumers of Reliance Energy.

Product Offered 5 star EE Refrigerator – Single door and Double door

In high capacities 4 star Models if 5 star is not available.

Project Features Warranty period – 1 year for machine & 5 years for

compressor.

Program duration is 6 months.

Table 3.1.2.1 Details of program of 5-star rated ACs R-infra

3.1.6. Gas water heater programme Rationale behind GWH For Consumer

1 kWh

860kCal Rs 5/- per kWh

1 SCM 8600kCal Rs 17.74/- per kWh

3KW heater for 1 hr per day

(1095 kWh per year)

Heat Generated per year

9.41 L kCal

Rs 5475/- per year

Gas Heater for Equivalent Heat Generated per year Rs 5475/- per year

53  

heat (110 SCM per year)

9.41 L kCal

For Environment Heat Generated per Year Gas

Requirement for Direct

Heating

Gas Requirement to Generate

Electricity to provide Heating

9.41 L kcal 110 SCM 306 SCM

GWH Pilot Programme

Sl No Title Details 1 Objective Strategic Conservation in Morning

Peak

2

Basis derived from LR Electric Water Heater typically

consumes around 3 KW power as

against GWH with no power

consumption Target consumer bases

typically uses electric water heater

for at least 1 hr/day during morning

peak hours

3 Target Consumer Base TATA Power Residential Consumers

4 Target Installations 1000 GWH

5 Program Impact Annual saving of 0.72 Mus and 0.9

MW demand savings are expected

6 Rebate from Utility Rs 3000/- per GWH

7 Heater Replacement Cost Approximate with Rs 9000/- GWH

with piping etc

8 Cost to Customer Rs 6000/GWH after availing rebate

9 M & V Methodology Pre and Post Energy Consumption for

1 % sample

10 Program Costs Utility Rebate, promotion, Advertising

and M&V cost: Rs 33.9 lakh

Table 3.1.6.1 Details of Gas Water Heater Program

54  

Challenges in Implementation of the GWH Pilot Programme:

At present there is no authorised manufacturer or model by MGL

At present there is no ISI mark for PNG Gas Geysers

MGL does not permit installations in bathrooms, hence customers not willing to

remove electric heaters in bathrooms

Logistics Capacity limitation with MGL to serve large number of installations

Safety Requirements for Gas Geysers are not defined

55  

3.1.7. Review of progress of approved DSM pilot programmes

Sr.

No.

Approved

programmes

Quantity

in Nos.

Progress of

TPC-D(as on oct-

11)

Progress of

R-Infra-D(as on june2012)

1 T-5 FTL

programme

1,75,000 Out of 50,00, more

than 4000 Nos. of

T-5 FTL were

replaced

Out of 1 lakh, 8,000 Nos. of T-5

FTL has been replaced. For

remaining T-5 FTL replacement,

manufacturer is not able to complete

the installation.

2 5 star Ceiling

Fan programme

20,000 Programme started

with approval of

MERC

Out of 5000 registrations by

consumers, 4300 Nos. of

installations are completed

3 Window A/C

programme

600 Out of 200 A/C, 40

numbers of A/Cs

has been replaced.

Out of 200 A/C, installations of 60

Nos. of A/C have been completed

4 Thermal

Energy

storage

programme

3,500TR Programme has

been modified with

the approval of

MERC.

As per programme,

the metering at 2

customer premises

has been

commenced.

Discussions held with customers and

Technology providers. But some

issues have to be sorted out.

5 star

Refrigerator

programme

15,000

(5000)

Programme has

been commenced

No response from manufacturers So,

New proposal submitted to MERC

and approval is awaited.

Demand

Response

(Manual)

1000 Customer’s

enrolment process

are in progress.

Not applicable

56  

Energy Audit - 34 Audits

completed of which

4 energy audit

reports are awaited.

3 Energy audits are

in progress

Indira Gandhi Research Institute

audited in this quarter.

Gas Water

Heater

2,000 Program to be jointly executed with Mahanager Gas

Limited (MGL). MGL has floated tender for gas geyser

models with enhanced safety features. Vendor finalisation

is in final stage

Table 3.1.7.1 Status of pilot projects

57  

3.2. International case studies

3.2.1. Case-1: DSM case studies in China 1. Hainan Integrated Resource Planning Prefeasibility Study

In 1992, the International Advisory Council on the Economic Development of Hainan in

Harmony with the Natural Environment worked with the U.S. Oak Ridge National

Laboratory to conduct a prefeasibility study of resource options to be included in an

Integrated Resource Planning (IRP) process. The study recommended that Hainan conduct an

IRP process, with a focus on using electricity pricing as a DSM strategy; developing efficient

building codes for new construction; implementing DSM programs in all sectors and

exploring the possibility of large scale wind resources. The study found that the DSM

programs alone could reduce electricity use in Hainan by 21 percent in 2000, with savings of

US$ 200 million to $400 million. The Hainan IRP prefeasibility study was the first such

analysis conducted in China, soon after DSM and IRP were first introduced. Relevant

decision makers and institutions most likely lacked adequate capacity, understanding and

interest in the IRP process to carry it out.

2. Shanghai DSM Cost/Benefit Analysis

In 1994, with the assistance of the Asian Development Bank, Shanghai conducted a

cost/benefit analysis of a range of potential DSM measures in certain secondary and tertiary

industries, including commercial facilities, catering services, office buildings and public

institutions. The analysis was based on a consideration of Shanghai’s power consumption

mix and load curves, as well as conventional DSM energy efficient technologies. The

analysis focused on DSM opportunities in lighting, air conditioning and cooling, district and

industrial heating, fans, pumps and electric traction. Typical energy efficient technologies

assessed include efficient pumps, fans and electric heating equipment; waste heat recovery

generators; ice storage cooling; gas fuelled air conditioners and electric-heat-cooling triple

generation.

58  

As shown in Table 1, the analysis concluded that the DSM technologies mentioned above

would save Shanghai 2 terawatt hours (TWh) of electricity and 663 MW of peak levelling

capacity in 2000, avoiding the need for 80 MW of additional installed capacity. These

savings would grow to 6.1 TWh of electricity and 2030 MW of peak levelling capacity in

2010, avoiding 245 MW of new capacity.

The DSM program would also eliminate 880,000 tons of carbon dioxide and 5,900 tons of

sulphur dioxide emissions each year. By the year 2010, these DSM measures would eliminate

1.5 million tons of carbon dioxide emissions and 10,000 tons of sulphur dioxide emissions

per year.

Year (Base Year 1994)

Annual Electricity Savings ( TWh)

Peak Shifting Capacity ( MW)

Deferred Generating

Capacity (MW)

2000 2 663 80

2010 6.1 2030 245

Year Capacity Installed (BAU)

GW

Ratio of DSM Peak Load Avoided %

Additional Peak/Valley

Difference(BAU) GW

DSM Peak/Valley Difference Avoided %

2000  7.80 10.25 2.41 27.5 2010 21.5 11.40 8.12 25.0

Despite the clear benefits revealed by the cost-benefit analysis, Shanghai never conducted the

DSM project. As with the other pilot projects, lack of financing and utility incentives was

likely culprits.

3. Peak Load Management in Beijing

Beijing began engaging in DSM activities primarily for load management purposes in

response to rapidly escalating peak demand. The peak load grew from 3 GW in 1992 to

nearly 4.5 GW in 1996, a yearly average load growth of 10.4 percent. The minimum load had

increased slowly, while the daily max-min had grown quickly, decreasing the annual system

load factor by around 86 percent in 1992 to 82 percent in 1996. This made it difficult for

59  

Beijing to ensure the safe, stable and economic operation of the power system. In order to

promote the load factor increase, Beijing’s main goal was to open up the power market in off-

peak hours.

The first step was to investigate the consumer power market. Before developing effective

measures for peak load management, Beijing carried out a survey to determine the condition

of customers’ electric equipment and consumption patterns. Models and software programs

were developed, based on the load survey, to analyze the efficiency opportunities available

from major customers in key industries.

The survey revealed that in 1996, industrial consumption accounted for over 55 percent of the

typical winter daily electricity consumption in Beijing, including 51 percent of the system’s

morning peak and around 50 percent of the evening peak. Even though the industrial load is

the base-load of the Beijing system, there is still a large potential for load shifting through the

rational arrangement of discretionary load.

Based on the above analysis, Beijing decided upon the following measures to improve its

system load factor:

Further expand the price differential between the peak and valley hour tariffs in order

to encourage load shifting;

Sign interruptible load agreements with large customers, first on a pilot basis, then on

a more widespread basis;

Encourage enterprises to rearrange their production schedules so that scheduled

maintenance took place during peak hours;

Encourage enterprises to establish schedules to upgrade and retrofit high loss

electrical equipment, such as motors and transformers; install reactive power

compensators for high and low voltage equipment; and arrange equipment with higher

diversity factors to operate at peak hours with a minimum operating scheme and at

off-peak hours with a maximum operating scheme;

Encourage customers to use highly efficient electric devices, retrofit existing

production processes in order to improve productivity, and invest in technologies that

shift usage from peak to valley periods, such as ice storage air conditioning and

storage electric heaters;

Provide financial assistance based on actual upgrading and retrofitting needs;

60  

The net effect of these measures was a reduction in the peak demand of 50 MW in 1997, an

additional 50 MW in 1998, and an improvement in the load factor because of the 150 GWh

increase in consumption during the valley load period. The investment to produce the peak

load shift was 12.05 million RMB in 1997 and 5.67 million RMB in 1998. The annual benefit

based on the avoided cost of new generation capacity was estimated at 24.8 million RMB.

The Beijing DSM project was successful primarily because it focused on peak load

management, which is generally easier to implement than other DSM programs. In many

cases, load management can be accomplished with properly designed and progressive tariffs,

such as time of use and interruptible tariffs. After successfully completing the load

management program, Beijing has now gained practical experience that should prove useful

for the development of DSM programs that result in long-term reductions in demand through

efficient end use technologies. Beijing is now conducting a detailed study of DSM policy

options and incentive mechanisms with the support of the Energy Foundation.

3.2.2. Case 2: California US

California is the most prominent success story in the area of DSM implementation.

California’s leadership in energy efficiency and DSM substantially reduced the economic and

environmental damage associated with the state’s severe energy crisis of 2001. In response to

the crisis, Californians reduced their total electricity consumption in 2001 by 6.7 percent

(weather adjusted) compared to 2000, even as the economy continued to grow. These demand

reductions did not occur spontaneously, but in response to a serious of coordinated DSM

measures and policies that were already in place.

By 1999, California’s energy efficiency investments and standards had already removed

About 10,000 megawatts from its peak demand, the equivalent of twenty large power plants.

In 2001, the Governor was able to use these programs, including public education programs,

rebates and other financial incentives, to coordinate the most successful state-wide energy

conservation program in history. Consumers bought record numbers of energy efficient

appliances in 2001, including nearly 100,000 high-efficiency refrigerators (over five times

more than in 2000) and four million compact fluorescent light bulbs.

These concerted efforts on the part of millions of Californians in 2001 enabled the state to

avert a recurrence of its 2000 electricity crisis. A 2003 study examined the magnitudes,

sources and costs of the savings contributing to California’s successful DSM deployment.

61  

The following table summarizes the results of the study by Global Energy Partners of the

impacts and costs of California’s combined efforts:

Table 3.2.2.1 Effects of DSM in California

Recognizing the value of DSM programs, especially in a restructured electricity market,

California substantially increased funding for utility DSM programs in 2001 to more than US

$480 million, an increase of more than 50 percent over 2000 levels. The legislature also

extended until 2012 the use of the system benefit charge, a small surcharge on every

California utility bill. This surcharge will raise more than US$ 5 billion of investment in

energy efficiency, renewable energy and technology development, the largest sustainable

energy fund ever created by a single legislative action.

62  

3.3. International standards Protocols

IPMVP - International Performance Measurement and Verification Protocol

IEEFP - International Energy Efficiency Finance Protocol

IPEP - International Program Evaluation Protocol

3.4. IPMVP

As the world is coming to recognize that energy efficiency is foundational to good

environmental management, the importance of proper savings documentation has never been

greater. It is certainly in everyone’s interest that predicted savings are achieved and properly

reported.

Energy users need to have robust methods of verifying achievement of their energy

policy objectives, to get or maintain ISO 50001 certification for their management

practices;

Potential purchasers of energy efficiency products or services want to know that

their potential purchases have already proven themselves using widely recognized

methods;

Actual purchasers of energy efficiency products or services need feedback on the

effectiveness of their purchases, to help them fine tune performance and to inform

further purchases;

Governments and utilities need to know that savings reported from energy

efficiency programs are grounded in actual field-measured results following a widely

accepted protocol

Purpose and Scope of IPMVP

Efficiency Valuation Organization (EVO) publishes the International Performance

Measurement and Verification Protocol (IPMVP) to increase investment in energy and water

efficiency, demand management and renewable energy projects around the world.

The IPMVP promotes efficiency investments by the following activities.

63  

IPMVP documents common terms and methods to evaluate performance of efficiency

projects for buyers, sellers and financiers. Some of these terms and methods may be

used in project agreements, though IPMVP does not offer contractual language.

IPMVP provides methods, with different levels of cost and accuracy, for determining

savings1 either for the whole facility or for individual energy conservation measures

(ECM)2;

IPMVP specifies the contents of a Measurement and Verification Plan (M&V Plan).

This M&V Plan adheres to widely accepted fundamental principles of M&V and

should produce verifiable savings reports. An M&V Plan must be developed for each

project by a qualified professional.

IPMVP applies to a wide variety of facilities including existing and new buildings and

industrial processes.

“Measurement and Verification” (M&V) is the process of using measurement to reliably

determine actual savings4 created within an individual facility by an energy management

program. Savings cannot be directly measured, since they represent the absence of energy

use. Instead, savings are determined by comparing measured use before and after

implementation of a project, making appropriate adjustments for changes in conditions.

M&V activities consist of some or all of the following:

Meter installation calibration and maintenance.

Data gathering and screening.

Development of a computation method and acceptable estimates.

Computations with measured data.

Reporting, quality assurance, and third party verification of reports.

IPMVP-adherent M&V includes both operational verification and an accounting of savings

based on site energy measurements before and after implementation of a project, and

adjustments

 

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64 

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65  

Improve engineering design and facility operations and maintenance

The preparation of a good M&V Plan encourages comprehensive project design by

including all M&V costs in the project’s economics. Good M&V also helps managers

discover and reduce maintenance and operating problems, so they can run facilities

more effectively. Good M&V also provides feedback for future project designs.

Manage energy budgets

Even where savings are not planned, M&V techniques help managers evaluate and

manage energy usage to account for variances from budgets. M&V techniques are

used to adjust for changing facility-operating conditions in order to set proper budgets

and account for budget variances.

Enhance the value of emission-reduction credits

Accounting for emission reductions provides additional value to efficiency projects.

Use of an M&V Plan for determining energy savings improves emissions-reduction

reports compared to reports with no M&V Plan.

Support evaluation of regional efficiency programs

Utility or government programs for managing the usage of an energy supply system

can use M&V techniques to evaluate the savings at selected energy user facilities.

Using statistical techniques and other assumptions, the savings determined by M&V

activities at selected individual facilities can help predict savings at unmeasured sites

in order to report the performance of the entire program.

Increase public understanding of energy management as a public policy tool

By improving the credibility of energy management projects, M&V increases public

acceptance of the related emission reduction. Such public acceptance encourages

investment in energy efficiency projects or the emission credits they may create. By

enhancing savings, good M&V practice highlights the public benefits provided by

good energy management, such as improved community health, reduced

environmental degradation, and increased employment

66  

IPMVP Option How Savings Are

Calculated

Typical Applications

A. Retrofit Isolation: Key

Parameter Measurement

Savings are determined by

field measurement of the key

performance parameter(s)

which define the energy use

of the ECM’s affected

system(s) and/or the success

of the project.

Measurement frequency

ranges from short-term to

continuous, depending on the

expected variations in the

measured parameter, and the

length of the reporting

period.

Parameters not selected for

field measurement are

estimated. Estimates can

based on historical data,

manufacturer’s

specifications, or engineering

judgment.

Documentation of the source

or justification of the

estimated parameter is

required. The plausible

savings error arising from

estimation rather than

measurement is evaluated.

Engineering calculation of

baseline and reporting period

energy from:

short-term or

continuous

measurements of key

operating

parameter(s)

Estimated values.

Routine and

nonroutine

adjustments as

required.

A lighting retrofit where

power draw is the key

performance parameter that

is measured periodically.

Estimate operating hours of

the lights based on facility

schedules and occupant

behaviour.

B. Retrofit Isolation: All Short-term or continuous Application of a variable

67  

Parameter Measurement

Savings are determined by

field measurement of the

energy use of the ECM-

affected system.

Measurement frequency

ranges from short-term to

continuous, depending on the

expected variations in the

savings and the length of the

reporting period.

measurements of baseline

and reporting period energy,

and/or engineering

computations using

measurements of proxies of

energy use.

Routine and nonroutine

adjustments as required.

speed drive and controls to a

motor to adjust pump flow.

Measure electric power with

a kW meter installed on the

electrical supply to the

motor, which reads the power

every minute. In the baseline

period this meter is in place

for a week to verify constant

loading. The meter

is in place throughout the

reporting period to track 

C. Whole Facility

Savings are determined by

measuring energy use at the

whole facility or sub-facility

level.

Continuous measurements of

the entire facility’s energy

use are taken throughout the

reporting period.

Analysis of whole facility

baseline and reporting period

(utility) meter data.

Routine adjustments as

required, using techniques

such as simple comparison or

regression analysis.

Non-routine adjustments as

required

Multifaceted energy

management program

affecting many systems in a

facility. Measure energy use

with the gas and electric

utility meters for a twelve

month baseline period and

throughout the reporting

period.

68  

D. Calibrated Simulation

Savings are determined

through simulation of the

energy use of the whole

facility, or of a sub-facility.

Simulation routines are

demonstrated to adequately

model actual energy

performance measured in the

facility. This Option usually

requires considerable skill in

calibrated simulation.

Energy use simulation,

calibrated with hourly or

monthly utility billing data.

(Energy end use metering

may be used to help refine

input data.)

Multifaceted energy

management program

affecting many systems in a

facility but where no meter

existed in the baseline period.

Energy use measurements,

after installation of gas and

electric meters, are used to

calibrate a simulation.

Baseline energy use,

determined using the

calibrated simulation, is

compared to a simulation of

reporting period energy use.

Table 3.4.1 Overview of IPMVP options

69  

3.5. Draft Regulations DSM Programme’s Evaluation, Measurement & Verification

Based on International Performance Monitoring and Verification Protocol MERC has drafted

a regulation for DSM programme’s evaluation, measurement and verification .

The basic purpose behind this regulation is:

• Finding Baseline Information

Baseline data upon which to base energy savings measurement

Perform study if none available

• Energy Efficiency Measure Information

Description of EE measures in program

Includes assumptions about important variables and unknowns

• M&V Approach

Reference appropriate IPMVP option

Describe deviation from IPMVP

Schedule for acquiring project-specific data

• Evaluation Approach

Questions to be answered through evaluation

Evaluation tasks / activities

Describe how evaluation will meet all policy objectives

Following figure 13.1 gives the detailed structure of the DSM E’M&V guiding principles.

70  

Fig 13.1 Detailed structure of DSM E,M&V guiding principles

Figure 3.5.1 shows the detailed structure of the draft regulation for DSM Evaluation, Monitoring and Evaluation

71  

3.6. Thermal storage device

For the past 10 to 15 years, the restructuring of the electricity industry has been under way in

the country. In many countries, the electricity market has been deregulated to open up the

supply of electricity to competition. Existing power utilities and new market participants now

have to trade electric power in a deregulated electricity market.

The utilities can reduce the purchase cost of electricity from the electricity market through

load managements by customers as part of demand-response programs. There are significant

benefits to the utilities if customers shift their load from on-peak to off-peak hours. The

Thermal Storage System is a well-known example of this load shifting. It stores off-peak

power as cold water (ice) or hot water for air-conditioning demand in daytime and is very

efficient in shifting peak air-conditioning demand to off-peak hours.

The campus cooling system consists of a chiller plant (three chillers redundantly configured

as two in series, one backup in parallel), an array of cooling towers, a 7000 m thermal energy

storage tank, a primary distribution system and secondary distribution loops serving each

building of the campus. The two series chillers are operated each night to recharge the storage

tank which meets campus cooling demand the following day. Although the storage tank

enables load shifting to off-peak hours to reduce peak demand, the lack of an optimized

operation results in conservatively overcharging the tank, where heat losses erode efficiency,

and in suboptimal operation of chillers and cooling towers.

3.6.1. System model

In HVAC plants of medium-high cooling capacity, multiple chiller systems are often adopted

to achieve a satisfactory trade-off between reliability and cost. Multiple chillers are normally

used in parallel configuration, where every chiller is independent of each other to provide

standby capacity and operational flexibility, while requiring less disruption maintenance.

Compared with single-chiller systems, multiplechiller systems have reduced starting in-rush

current and a reduced power cost under part load conditions [2]. However, the overall energy

performance of a multiple chiller systems is difficult to characterize since it depends on many

factors. The capacity regulation and part load efficiency of each chiller (and therefore of the

entire system) strongly depend the choice of refrigerating unit, refrigerant circuit design, type

and number of compressors, and so on. For instance, multiscroll chillers equipped with twin

compressors on the same circuit present high part load Energy Efficiency Ratio values (EER,

defined as the ratio of cooling capacity and total power absorption, fans included), whereas

72  

screw compressors units are strongly penalized, mainly because of the reduction of screw

compressor isentropic efficiency at low cooling loads. Therefore, the problem of optimizing

the energy performance of multiple-chiller systems is a complex one.

To meet such requirement a Two-Layer Control (TLC) structure for control and optimization

of a multiple chiller system is uses that consist of a local control loop and a supervisory

control loop. Proper tuning of the local-loop controller can enhance comfort, reduce energy

use, and increase component life. Set points and operating modes for cooling plant equipment

can be adjusted by the supervisor to maximize overall operating efficiency. At any given time

cooling needs can be met with various combinations of modes of operation and set points for

the chilled water temperature. In the proposed TLC structure, a cooling load estimation

algorithm is adopted to obtain information on the cooling needs. Once the cooling needs

have been estimated, the selection of the optimal set of operation modes and set point values

is then performed by means of a Particle Swarm Optimization (PSO) algorithm.

The system consists of a condenser loop, a primary loop, a secondary (campus) loop, and

several tertiary (building) loops. The chilled water is generated via chillers and cooling

towers within the primary and condenser loops. The chilled water is stored in a stratified

thermal energy storage tank, and distributed to the buildings throughout the campus via the

secondary loop. Internal building loops use pumps and valves to distribute the chilled water

to the fan coils and air handling units (AHUs) that deliver cold air to the thermal zones. The

chilled water is warmed by the air-side load of the buildings and returned to the secondary

loop.

Fig 3.6.1 Plant & Two layer Control Architecture

73  

3.6.2. Plant structure In Fig. 3.6.1 the block structure of the system considered in the paper is reported. Three basic

blocks can be pointed out:

1) The energy production section (e.g., a packaged aircooled water chiller);

2) The hydraulic section where a common primary secondary pumping arrangement is

adopted with constant water flow rate on the secondary, thus decoupling the chiller section

from the distribution one;

3) The load section: the building thermal load and capacity are represented in the scheme by

cooling coils and a water tank of suitable capacity.

Fig 3.6.2 Logic regulation for a chiller with four capacity partialization steps.

DM is the temperature differential when controlling the chiller evaporator water outlet, DR

is the temperature differential when controlling the chiller evaporator water inlet.

3.6.3. Control Structure

With reference to Fig.12.1 a Two Layer Control structure for multiple chiller system

operation is proposed. In the lowlevel layer, each chiller set-point is maintained using a local

controller. In the high-level layer, a supervisor specifies the modes of operation and the set-

points for each chiller.

74  

A. Low Level Controller Typically, a chiller without capacity control can be regulated in two different ways, namely

by controlling the chiller evaporator water outlet temperature or the chiller evaporator water

inlet temperature. In both cases, a relay control law is used, where the compressor is switched

on and off when the controlled temperature reaches given threshold values. The difference

between the upper and lower threshold values is called water temperature differential, and its

value clearly affects the width of the oscillations of the supply water temperature as well as

the number of start-ups of the compressor. While both control strategies maintain constant

water supply temperature in full load conditions, outlet water temperature control grants

better performance during chiller part load operations since it maintains the mean water

supply temperature fairly constant during on/off operations.

B. High Level Controller: Supervisory The supervisor structure consists of two main components:

1) a load estimation algorithm;

2) a PSO algorithm for solving the OCL and OCS problems.

At each supervision period (i.e. 10 minutes) the system cooling demand is estimated, and the

estimate is used by the PSO optimization algorithm that solves, simultaneously, the OCL and

OCS problems thus determining, for each chiller, the cooling load, in the form of local set-

points, and the status (on/off). The computations required by the optimization process can be

performed within a time length of five minutes on a personal computer, thus granting an on-

line implementation.

75  

Fig 3.6.3: The flowchart of A/C load management potential study

Above flow chart shows the detailed steps involved in the selection of any DSM project.

.

 

Fig 3.6.5: Te

Fig 3.6.4 S

emperature D

76 

Scheme plot o

Distribution

f the chilling

n of the wat

system

ter in the tan

nk

77  

3.6.4. Main subsystems of the cooling system

1) Chillers and Cooling Towers Model

2) Thermal Energy Storage Tank

3) Campus Load Model: The campus load model has two subcomponents: “the Solar and

Internal Load Predictor” and the “Building Thermal Load Predictor”. The Solar and

Internal Load Predictor uses time, date, and cloud coverage as inputs, and calculates

inside and outside solar loads and internal load. The outside solar load reflects the

solar energy on the outer surface of the building, while the inside solar load is the

solar radiation into the building (e.g., sunshine through the windows into rooms). The

internal load includes the heat from people, lights, and equipment.

4) Fan Coil Model: The fan coil models the heat exchange between the chilled water

supplied to the campus and air in the buildings. Several fan coil models are available

The performance of the system is evaluated in terms of user comfort, energy use, and

financial costs.

78  

3.7. TPC-D’s initiative on thermal storage device in Mumbai

Project Title Pilot program to install thermal storage

equipment among commercial central air-

conditioning system users

Summary Pilot program is designed to demonstrate the

results of demand shifting programs and

gaining confidence in the thermal storage

programs so that all new large sites can be

considered at the design stage itself

Target consumer base Commercial & Industrial users having central

air-conditioning system of ratings > 100TR

using during day-time peak

Rationale Shifting of day peaok to to off peak

1night hours can be achieved through

thermal storage.

Mumbai peak demand and the time-

of-use of central air-conditioner

systems are coincident.

Reduced costly power purchase will

reduce tariffs for all consumers

Program impacts With a target of 1000 TR capacity Central

AC systems to be replaced, an annual energy

shifting of 2.40 MUs and 1 MW2 demand

shifting to night

Program design

Market creation

Program partners

Service delivery

Market creation:

Promotion of Thermal Storage

technology

Program partners:

Manufacturers & Suppliers of the

system.

Customers from categories identified.

79  

Service delivery:

Random selection of consumers upto

total 1000TR capacity

Rebates to be paid to

supplier/consumer after successful

commissioning.

Rebates (if any) Rs. 5000 per TR (assuming 25% of Rs.

20000/TR capital cost) amounting to rs 50

lakhs for total program of 1000TR.

Key barrier Awareness of Thermal storage

system.

Support to prefeasibility/HVAC audit

Perceived higher first cost

Program implementation process Send communication along with the

electricity bills to all target

consumers.

Recieipt of expression to participate

in the program within 15 days of final

electricity bill dispatch.

Random selection of consumers to be

included in the program

Intimation to consumers

Purchase of thermal storage from pre-

determined OEM

Financing approach Part rebate by utility; rest paid by consumers

Program cost Utility rebate: Rs. 50,00,000 (Rs 5000 per installed TR) Admin cost (including cost of prefeasibility audits): Rs 4,00,000 M&V: Rs. 5,00,000 (Rs. 5000 per installed TR) Total: Rs 59,00,000

Implementation responsibilities Utility to drive the entire project

80  

Funds Program will be funded from available load

management charges with TATA Power or

through ARR

Fig 3.7.1 Tata power dsm pilot program design: thermal storage

Budget Allocated= 60.92 lakhs

Till date 1.92 lakhs

Left 59 lakhs

81  

3.8. International Experience Case Study: A Stratified Chilled Water Storage System A full-storage stratified chilled water storage system was completed in August 1990 to serve

a 1.142 million ft2 (106,134 m2) electronics manufacturing facility in Dallas, Texas. The

following are the details of this project as described by Fiorino (1991).

Storage cooling capacity

Maximum refrigeration load

Charge process duration

Discharge process duration

Inlet temperature during charging Ti

Limiting outlet temperature during

discharging To

Inlet temperature during discharging Tre,i

Maximum volume flow rate

Tank diameter

Tank height

Tank volume

Usable tank volume

24,500 ton_ h (861,420 kWh)

3200 tons (11,251 kW)

16 h

8 h

40°F (4.4°C)

42°F (5.6°C)

56°F (13.3°C)

5120 gpm (323 L / s)

105.5 ft (32.2 m)

41 ft (12.5 m)

2.68 million gal (10,144 m3)

90%

Results of the Thermal Storage System are shown in the following curve:

82  

Fig 3.8.1: Electric demand curves and the storage cycle of the stratified chilled water storage

system for an electronic manufacturing facility in Dallas, Texas.

Other Cases i. Asia World Expo, Hong Kong (China) – installed in 2004, STL - AC.00 - 1 404

(77,250 kWh / 22 000 T.H)

ii. AIRPORT “Nice” France - 1983-2001, STL - AC.00 - 205 (11 300 kWh / 3 200 T.H)

83  

CHAPTER-4

CONCLUSION & RECOMMENDATION

3.1. Conclusion

With increasing focus on energy prices, Demand Side Management (DSM) is touted as the 5th

fuel. In the past, the primary objective of most DSM programmes was to provide cost-

effective energy and capacity resources to help defer the need for new sources of power.

However, many changes occurring in the industry, such as increased government and

regulatory focus towards energy efficiency, carbon emission constraints and greater public

awareness has resulted in utilities relying on DSM. On the other hand with ever increasing

scope and scale of DSM programmes utilities face a stiff challenge in administering these

programmes effectively.

As presented in this paper, demand side management relies basically on two aspects:

technology and behaviour. Continuous information and education programmes are necessary

for the development of efficient systems. Both of these aspects need to be maintained,

stimulated and improved. Finally, DSM is not only good practice for reducing energy

consumption; it has also side-benefits such as improved wellbeing and comfort of end users.

The state of Maharashtra in particular has spearheaded the DSM initiatives in Indian power

sector. With sound regulatory framework distribution utilities have huge scope of realizing

full economic and societal value of DSM programmes and their seamless delivery to larger

consumer base. Bringing all categories of consumers i.e. residential, industrial and

commercial consumers into the ambit of the regulations and incentivizing the adoption of

DSM and Energy Efficiency measures is a step in the right direction.

Earning consumer confidence is critical for the success of such programs. Therefore modes of encouragement other than incentivizing should also be explored. At the same time, it must also be ensured that the utilities do not suffer losses.

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3.2. Recommendation

DSM is still in its nascent stage in Indian electricity sector. There is a need to look way

forward in this area of energy efficiency. There are very few people who know about this

demand side management. As it needs a voluntary participation from consumer side for

successful implementation of DSM, the utilities and regulatory commissions should promote

consumer awareness. Consumers should be made aware of the benefits associated with this.

So I would like to suggest some measures for success of DSM in Indian context:

There is a need to develop suitable incentive mechanism which will enable to share

benefits between end users and utilities, to attract both of them for active

participation.

SERCs should make regulations and give due benefits to the participants.

Residential consumers should also be included in the DSM initiatives along with

commercial consumers.

Pilot programs should be applicable to larger consumer base and there is a need of

stringent follow-up of these programs.

Interaction schemes specifically addressing interaction between intermediaries, end

users and other stakeholders should be promoted

Develop guidelines / methodologies to be adopted for integrating DSM options with

supply side options

There is a need of better coordination among various agencies of Central and State

Governments for implementation of DSM measures

State government should financially support the pilot programmes in various sectors

to enable the market transformation

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