customer impact statement - energex · 4 september 2015 customer impact statement appendices 2...

4 September 2015 Customer Impact Statement Appendices 1

Customer Impact Statement Appendices Tariff Reform program

Energex Limited 2015 - 2020

4 September 2015 Customer Impact Statement Appendices i

Contact details

Energex Limited

Andrew Hager

Email: [email protected]

GPO Box 1461 Brisbane QLD 4001

26 Reddacliff Street Newstead QLD 4006

Telephone 13 12 53

www.energex.com.au

Energex Limited ABN 40 078 849 055

© Energex Limited 2015

® Energex and Energex Positive Energy are registered trademarks of Energex Limited ABN 40 078 849 055

This work is copyright. Material contained in this document may be reproduced for personal, in-house or

non-commercial use, without formal permission or charge, provided there is due acknowledgement of Energex

Limited as the source. Requests and enquiries concerning reproduction and rights for a purpose other than personal,

in-house or non-commercial use, should be addressed to the Group Manager Corporate Communications, Energex,

GPO Box 1461 Brisbane QLD 4001.

4 September 2015 Customer Impact Statement Appendices ii

Contents

Appendix A – Indicative network tariff charges from 1 July 2016 to 30 June 2020 ......... 1

Indicative pricing tables ......................................................................................................... 1

Appendix B – Bill estimation tools ....................................................................................... 6

LV business customers .......................................................................................................... 7

Residential customers .......................................................................................................... 13

Appendix C – Residential customer naming conventions ............................................... 19

Appendix D – Analysis of residential customers .............................................................. 20

Customer Cohort 1 ................................................................................................................ 20

Customer Cohort 2 ................................................................................................................ 22

Customer Cohort 3 ................................................................................................................ 24

Customer Cohort 4 ................................................................................................................ 26

Customer Cohort 5 ................................................................................................................ 28

Customer Cohort 6 ................................................................................................................ 30

Customer Cohort 7 ................................................................................................................ 32

Customer Cohort 8 ................................................................................................................ 34

Customer Cohort 9 ................................................................................................................ 36

Customer Cohort 10 .............................................................................................................. 38

Customer Cohort 11 .............................................................................................................. 40

Customer Cohort 12 .............................................................................................................. 42

Customer Cohort 13 .............................................................................................................. 44

Customer Cohort 14 .............................................................................................................. 46

Customer Cohort 15 .............................................................................................................. 48

Customer Cohort 16 .............................................................................................................. 50

Appendix E – Analysis of LV small businesses - Case Studies ...................................... 52

Case Study 1 – Medium sized tool store ............................................................................ 53

Case Study 2 – Small to medium sized pet store .............................................................. 55

Case Study 3 – Small hotel .................................................................................................. 57

Case Study 4 – Freight and transport company ................................................................ 59

Case Study 5 – Residential service care ............................................................................ 61

Case Study 6 – Eat in/Take away food shop ...................................................................... 63

Case Study 7 – Fast food and delivery store ..................................................................... 65

Case Study 8 – Gym/health club ......................................................................................... 67

Case Study 9 – Medical centre ............................................................................................ 69

Case Study 10 – Car dealer .................................................................................................. 71


Appendix A – Indicative network tariff

charges from 1 July 2016 to 30 June 2020

Indicative pricing tables

These tables are from our Indicative Pricing Schedule spreadsheet which is on our website. Visit

www.energex.com.au/influencingtariffs to access the full spreadsheet.


Table A1: Indicative network tariff charges for 2016-17

Tariff Class

Tariff Description NTC

DUoS Charges1,2 NUoS Charges1,2

Fixed ($/day)

NCCAV

($/ NC CAV/da

y)

CAV

($/CAV

/day)

Demand($/kVA/month)

Peak Deman

d ($/kVA/

month)

Off-Peak Demand ($/kVA/

month)

Demand ($/kW/

month)

Volume Flat

(c/kWh)

Off Peak Volume(c/kWh)

Shoulder Volume(c/kWh)

Peak Volume (c/kWh)

Fixed($/day)

NCCAV

($/ NC CAV/day

CAV

($/CAV

/day

Demand($/kVA/month)

Peak Demand($/kVA/month)


month)

Demand ($/kW/

month)

Volume Flat

(c/kWh)

Off Peak Volume (c/kWh)

Shoulder Volume (c/kWh)

Peak Volume (c/kWh)

CAC EG - 11 kV 3000 Site-specific prices are confidential

9.848 0.227 0.227 Site-specific prices are confidential

11.342 0.669 0.669

CAC - 11 kV Bus 4000 7.903 0.227 0.227 9.653 0.669 0.669

CAC - 11 kV Line 4500 12.178 0.227 0.227 14.913 0.669 0.669

Demand ToU 11kV 7400 117.530

61.658 7.903 1.581 1.149 117.530 61.658 10.638 2.128 2.124

HV Demand 8000 21.348 11.324 0.034 41.899 13.765 1.104

SAC Large Demand 8100 27.917 15.917 0.617 36.096 18.016 1.699

Small Demand 8300 3.619 19.853 0.193 5.440 21.214 1.973

Demand ToU LV 7200 5.638 6.930 1.386 4.659 5.638 9.579 1.916 5.956

Business Flat 8500 0.463 10.511 0.735 11.974

Business ToU 8800 0.463 6.781 11.312 0.735 8.114 12.887

Business Demand 7100 0.735 6.260 7.462 0.735 9.849 8.220

Residential Flat 8400 0.417 9.720 0.510 11.686

Residential ToU 8900 0.417 4.959 8.694 16.548 0.510 5.091 10.653 21.162

Residential Demand

7000 0.510 5.813 3.944 0.510 8.338 4.414

Super Economy 9000 4.786 6.399

Economy 9100 8.052 9.665

New Economy 7300 3.315 3.785

Unmetered 9600 8.354 10.224

Notes:

1. All prices are GST exclusive.

2. The NUoS charges are comprised of the distribution (DUoS) and transmission (TUoS) charges.



Tariff Class

Tariff Description

NTC


Fixed ($/day)

NC CAV

($/ NC CAV/day)

CAV

($/CAV

/day)

Demand($/kVA/month)

Peak Demand ($/kVA/

month)


month)

Demand ($/kW/

month)

Volume Flat

(c/kWh)


ShoulderVolume(c/kWh)

Peak Volume (c/kWh)

Fixed ($/day)

NC CAV

($/ NC CAV/day

CAV

($/CAV

/day)

Demand($/kVA/month)



month)

Demand ($/kW/

month)

Volume Flat

(c/kWh)



Peak Volume (c/kWh)



10.482 0.630 0.630

CAC - 11 kV Bus 4000 8.104 0.177 0.177 9.899 0.630 0.630

CAC - 11 kV Line

4500 11.874 0.177 0.177 14.678 0.630 0.630

Demand ToU 11kV

7400 117.530 61.658 8.104 1.621 0.978 117.530 61.658 10.908 2.182 1.975

HV Demand 8000 8.126 10.757 0.028 21.752 13.368 1.165

SAC Large Demand 8100 28.392 15.121 0.744 34.735 17.325 1.884

Small Demand 8300 3.895 18.860 0.024 5.654 20.289 1.819

Demand ToU LV 7200 5.674 7.107 1.421 4.245 5.674 9.824 1.964 5.559

Business Flat 8500 0.475 9.459 0.761 10.963

Business ToU 8800 0.475 6.328 10.633 0.761 7.567 12.355

Business Demand

7100 0.761 6.419 6.418 0.761 10.100 7.213


Residential ToU 8900 0.434 4.601 7.720 15.611 0.530 4.728 9.720 20.334

Residential Demand

7000 0.530 5.961 2.817 0.530 8.550 3.271


Economy 9100 7.037 8.682

New Economy 7300 2.173 2.627

Unmetered 9600 7.781 9.683

Notes: 1. All prices are GST exclusive 2. The NUoS prices are comprised of the distribution (DUoS) and transmission (TUoS) charges.



Tariff Class Tariff Description NTC


Fixed ($/day)

NC CAV ($/ NC

CAV/day)

CAV ($/CAV /day)

Demand($/kVA/month)

Peak Demand ($/kVA/ month)

Off-Peak Demand ($/kVA/ month)

Demand ($/kW/ month)

Volume Flat

(c/kWh)



Peak Volume (c/kWh)

Fixed ($/day)

NCCAV($/ NC

CAV/day

CAV ($/CAV/d

ay)

Demand($/kVA/ month)

Peak Demand($/kVA/ month)



Volume Flat(c/kWh)



Peak Volume (c/kWh)



9.946 0.687 0.687

CAC - 11 kV Bus 4000 8.311 0.223 0.223 10.151 0.687 0.687

CAC - 11 kV Line 4500 11.577 0.223 0.223 14.453 0.687 0.687

Demand ToU 11kV 7400 117.530 61.658 8.311 1.662 0.905 117.530 61.658 11.187 2.237 1.926

HV Demand 8000 8.333 10.001 0.000 15.101 12.781 1.191

SAC Large Demand 8100 28.893 14.582 1.006 33.233 16.972 2.199

Small Demand 8300 4.184 18.134 0.088 5.874 19.710 1.891

Demand ToU LV 7200 5.712 7.288 1.458 4.025 5.712 10.074 2.015 5.349

Business Flat 8500 0.487 8.731 0.788 10.270

Business ToU 8800 0.487 6.114 10.204 0.788 7.251 12.066

Business Demand 7100 0.788 6.583 5.682 0.788 10.358 6.504


Residential ToU 8900 0.452 4.475 7.037 14.934 0.550 4.582 9.065 19.755

Residential Demand

7000 0.550 6.113 2.014 0.550 8.768 2.448


Economy 9100 6.314 7.978

New Economy 7300 1.354 1.788

Unmetered 9600 7.464 9.399

Notes: 1. All prices are GST exclusive2. The prices are comprised of the distribution (DUoS) and transmission (TUoS) charges.


Tariff A4: Indicative network tariff charges for 2019-20

Tariff Class Tariff Description NTC


Fixed ($/day)

NCCAV ($/ NC

CAV/day)

CAV ($/CAV/day)

Demand($/kVA/month)

Peak Demand ($/kVA/ month)



Volume Flat

(c/kWh)



Peak Volume (c/kWh)

Fixed($/day)

NCCAV($/ NC

CAV/day)

CAV ($/CAV

/day

Demand($/kVA/month)




Volume Flat

(c/kWh)



Peak Volume (c/kWh)



9.512 0.768 0.768

CAC - 11 kV Bus 4000 8.523 0.293 0.293 10.410 0.768 0.768

CAC - 11 kV Line 4500 11.287 0.293 0.293 14.236 0.768 0.768

Demand ToU 11kV 7400 117.530 61.658 8.523 1.705 0.855 117.530 61.658 11.472 2.295 1.899

HV Demand 8000 8.546 9.337 0.000 8.546 12.286 1.240

SAC Large Demand 8100 29.416 14.085 1.303 31.619 16.672 2.552

Small Demand 8300 4.486 17.459 0.203 6.101 19.192 2.015

Demand ToU LV 7200 5.750 7.474 1.495 3.865 5.750 10.331 2.066 5.200

Business Flat 8500 0.499 8.119 0.816 9.693

Business ToU 8800 0.499 5.966 9.851 0.816 7.001 11.853

Business Demand 7100 0.816 6.751 5.050 0.816 10.622 5.898


Residential ToU 8900 0.470 4.396 6.437 14.332 0.571 4.476 8.487 19.246

Residential Demand

7000 0.571 6.269 1.306 0.571 8.992 1.717


Economy 9100 5.673 7.350

New Economy 7300 0.630 1.041

Unmetered 9600 7.208 9.173

Notes: 1. All prices are GST exclusive2- The prices are comprised of the distribution (DUoS) and transmission charges (TUoS) charges.


Appendix B – Bill estimation tools

The following charts are designed to enable business and residential customers to estimate their

annual bill in 2016-17 and in the final year of the 2017-20 Tariff Structure Statement, considering the

tariff customers are billed under, their estimated annual energy consumption and demand levels.


LV business customers

Business - Low efficiency in network usage (Load factor of 0.2) and power factor of 0.88, 2016-17 tariffs


Business - Low efficiency in network usage (Load factor of 0.2) and power factor of 0.88, 2019-20 tariffs


Business - Average efficiency in network usage (load factor of 0.3) and power factor of 0.88, 2016-17 tariffs


Business - Average efficiency in network usage (load factor of 0.3) and power factor of 0.88, 2019-20 tariffs


Business - High efficiency in network usage (load factor of 0.4) and power factor of 0.88, 2016-17 tariffs


Business - High efficiency in network usage (load factor of 0.4) and power factor of 0.8 - 2019-20 tariffs


Residential customers

Residential - Low efficiency in network usage (load factor of 0.075) – 2016-17 tariffs


Residential - Low efficiency in network usage (load factor of 0.075) – 2019-20 tariffs


Residential - Medium efficiency in network usage (load factor of 0.125) – 2016-17 tariffs


Residential - Medium efficiency in network usage (load factor of 0.125) – 2019-20 tariffs


Residential - High efficiency in network usage (load factor of 0.25) – 2016-17


Residential - High efficiency in network usage (load factor of 0.25) – 2019-20


Appendix C – Residential customer naming

conventions

Below is the mapping of the naming of the customer cohorts adopted CSIRO in their report against the

cohort names adopted by Energex.

Table C1: Customer cohort mapping

CSIRO report Energex

Customer segment Segment subset Cohort

Segment 1 Cluster 1 Cohort 1

Cluster 2 Cohort 2

Cluster 3 Cohort 3


Cluster 2 Cohort 5

Cluster 3 Cohort 6


Cluster 2 Cohort 8


Cluster 2 Cohort 10


Cluster 2 Cohort 12


Cluster 2 Cohort 14

Cluster 3 Cohort 15

Segment 7 Cohort 16


Appendix D – Analysis of residential

customers

This section details the load profile and bill impact of all the customer cohorts listed in table C1. The

customer bill impact was derived by comparing the customer charge calculated using the new

proposed demand tariff NTC7000 – Residential Demand against NTC8400 – Residential Flat.

Customer Cohort 1

Customers in this cohort have the following attributes:

They tend to live in detached homes (3 to 4 bedrooms).

Most own their home.

They are on a low income ($0-$799 per week).

They are a mix of couples without children (43 per cent), couples with children (14 per cent)

and other family type (43 per cent).

They tend not to have solar installed (86 per cent).

They tend to have high daytime load, and high afternoon and evening peaks in summer.

Their energy consumption tends to be moderate.

Energy consumption for customer cohort 1


Annual bill impact on customers in cohort 1

Table D1: Customer impact by the tariff reform in Customer Cohort 1

Better off Worse off

Customer cohort 1

Greater than 10%

Between 5 and 10%

Between 0 and 5%

Between 0 and 5%

Between 5 and 10%

Greater than 10%

Total

Customer number

13 5 4 4 2 0 28

Percentage* 46% 18% 14% 14% 7% 0% 100%

*Due to rounding, individual components may not sum to 100 per cent


Customer Cohort 2


They live in detached homes (3 to 4 bedrooms).

They tend to own their home.


The majority tends to be couples without children (60 per cent).

They tend to have solar installed (78 per cent).

They tend to have high evening peaks in summer.

Their energy consumption tends to be low.



Annual bill impact on customers in Customer Cohort 2

Table D2: Customers impacted by the tariff reform in Customer Cohort 2


Customer cohort 2

Greater than 10%

Between 5 and 10%

Between 0 and 5%

Between 0 and 5%

Between 5 and 10%

Greater than 10%

Total

Customer number

7 4 6 7 4 12 40

Percentage* 18% 10% 15% 18% 10% 30% 100%



Customer Cohort 3


They live in detached homes (3 bedrooms).

They own their home.


A small majority are couples without children (54 per cent), the remainder being couples with

children (6 per cent) and other family type (40 per cent).


They tend to have low evening peaks in summer and winter.




Annual bill impact on customers in cohort 3



Customer cohort 3

Greater than 10%

Between 5 and 10%

Between 0 and 5%

Between 0 and 5%

Between 5 and 10%

Greater than 10%

Total

Customer number

35 27 13 26 23 40 164

Percentage* 21% 16% 8% 16% 14% 24% 100%



Customer Cohort 4




They are upper middle income earners ($2,000-$2,884 per week).

They tend to be couples with children (60 per cent).


They tend to have high early afternoon and evening peaks in summer.

Their energy consumption tends to be high.

Energy consumption for Customer Cohort 4





Customer cohort 4

Greater than 10%

Between 5 and 10%

Between 0 and 5%

Between 0 and 5%

Between 5 and 10%

Greater than 10%

Total

Customer number

16 6 2 1 0 0 25

Percentage* 64% 24% 8% 4% 0% 0% 100%



Customer Cohort 5






They tend to have solar installed (93 per cent).

They tend to have low daytime load and evening peaks in summer and winter.

Their energy consumption tends to be high.






Customer cohort 5

Greater than 10%

Between 5 and 10%

Between 0 and 5%

Between 0 and 5%

Between 5 and 10%

Greater than 10%

Total

Customer number

11 2 5 3 3 3 27

Percentage* 41% 7% 19% 11% 11% 11% 100%



Customer Cohort 6





They tend to be couples (85 per cent), half of them with children.

A small number have solar installed (29 per cent).

They tend to have small evening peaks in summer and winter.







Customer cohort 6

Greater than 10%

Between 5 and 10%

Between 0 and 5%

Between 0 and 5%

Between 5 and 10%

Greater than 10%

Total

Customer number

34 9 13 9 14 19 98

Percentage* 35% 9% 13% 9% 14% 19% 100%



Customer Cohort 7


They live in townhouses (3 bedrooms).


They tend to be on a lower middle ($800-$1,999 per week) to upper middle income ($2,000-

$2,884 per week).

They tend to be couples without children (67 per cent).


They tend to have afternoon and evening peaks in summer.







Customer cohort 7

Greater than 10%

Between 5 and 10%

Between 0 and 5%

Between 0 and 5%

Between 5 and 10%

Greater than 10%

Total

Customer number

1 2 1 1 1 0 6

Percentage* 17% 33% 17% 17% 17% 0% 100%



Customer Cohort 8


They tend to live in townhouses or units (2 bedrooms).


The majority are low income earners ($0-$799 per week) and a smaller group are lower

middle income earners ($800-$1,999 per week).

They are a mix of couples without children (46 per cent), couples with children (14 per cent)

and other family type (36 per cent).

They tend not to have solar installed.

They tend to have afternoon and evening peaks in summer.







Customer cohort 8

Greater than 10%

Between 5 and 10%

Between 0 and 5%

Between 0 and 5%

Between 5 and 10%

Greater than 10%

Total

Customer number

3 2 4 4 2 13 28

Percentage* 11% 7% 14% 14% 7% 46% 100%



Customer Cohort 9


They tend to live in detached houses (3 to 4 bedrooms).


The majority are on lower middle income ($800-$1,999 per week).

They tend to be couples without children (69 per cent).


They tend to have moderate daytime peaks with a higher peak demand late afternoon in

summer.







Customer cohort 9

Greater than 10%

Between 5 and 10%

Between 0 and 5%

Between 0 and 5%

Between 5 and 10%

Greater than 10%

Total

Customer number

24 8 6 7 3 3 51

Percentage* 47% 16% 12% 14% 6% 6% 100%



Customer Cohort 10


They tend to live in detached houses (3 to 4 bedrooms).


They are lower middle income earners ($800-$1,999 per week).

About half are couples without children.

Some have solar installed (37 per cent).

They tend to have moderate evening peaks in summer and winter.







Customer cohort 10

Greater than 10%

Between 5 and 10%

Between 0 and 5%

Between 0 and 5%

Between 5 and 10%

Greater than 10%

Total

Customer number

56 26 27 27 19 52 207

Percentage* 27% 13% 13% 13% 9% 25% 100%



Customer Cohort 11


They tend to live in detached houses (4 bedrooms).

They tend to own their home (77 per cent).


They are couples with children.

They do not have solar installed.

They tend to have significant peaks in the afternoon and early evening.

Their energy consumption tends to be moderate to high.

This customer cohort is characterised by its small number of customer members.






Customer cohort 11

Greater than 10%

Between 5 and 10%

Between 0 and 5%

Between 0 and 5%

Between 5 and 10%

Greater than 10%

Total

Customer number

10 1 0 1 1 0 13

Percentage* 77% 8% 0% 8% 8% 0% 100%



Customer Cohort 12


They live in detached houses (3 to 4 bedrooms).



They are couples with children.

A low number of households have solar installed (33 per cent).

They tend to have moderate afternoon and evening peaks.

Their energy consumption tends to be moderate to low.






Customer cohort 12

Greater than 10%

Between 5 and 10%

Between 0 and 5%

Between 0 and 5%

Between 5 and 10%

Greater than 10%

Total

Customer number

38 31 19 18 13 25 144

Percentage* 26% 22% 13% 13% 9% 17% 100%



Customer Cohort 13


They live in detached houses (4 bedrooms).


They are high income earners ($2,885+ per week).


They do not have solar installed.

They tend to have high daytime and late afternoon loads in summer and winter.







Customer cohort 13

Greater than 10%

Between 5 and 10%

Between 0 and 5%

Between 0 and 5%

Between 5 and 10%

Greater than 10%

Total

Customer number

5 2 0 0 0 0 7

Percentage* 71% 29% 0% 0% 0% 0% 100%



Customer Cohort 14






A high number of households have solar installed (79 per cent).

They tend to have high evening load in summer and winter. These evening peaks would start

rising after 4pm and continue well after the end of the peak period at 8pm.


This customer cohort is characterised by its limited number of customer members.






Customer cohort 14

Greater than 10%

Between 5 and 10%

Between 0 and 5%

Between 0 and 5%

Between 5 and 10%

Greater than 10%

Total

Customer number

8 2 1 1 1 1 14

Percentage* 57% 14% 7% 7% 7% 7% 100%



Customer Cohort 15





The majority are couples with children (36 per cent) and without children (32 per cent).

A small number of households have solar installed (12 per cent).

They tend to have a relatively flat load.

Their energy consumption tends to be moderate to low.






Customer cohort 15

Greater than 10%

Between 5 and 10%

Between 0 and 5%

Between 0 and 5%

Between 5 and 10%

Greater than 10%

Total

Customer number

11 2 3 1 3 5 25

Percentage* 44% 8% 12% 4% 12% 20% 100%



Customer Cohort 16



A majority own their home (60 per cent).

They are a mix of people on low income ($0-$799 per week) and lower middle income ($800-

$1,999 a week).

They are single parents.

A small number of households have solar installed (20 per cent).

They tend to have a relatively flat load.







Customer cohort 16

Greater than 10%

Between 5 and 10%

Between 0 and 5%

Between 0 and 5%

Between 5 and 10%

Greater than 10%

Total

Customer number

8 4 5 4 3 6 30

Percentage* 27% 13% 17% 13% 10% 20% 100%



Appendix E – Analysis of LV small

businesses - Case Studies

The case studies included in this Customer Impact Statement represent a sample of small businesses

with meters able to collect interval data (Type 4 metering). These business customers are not

necessarily representative of other small business customers. The majority of LV small business

customers have cumulative meters (Type 6 metering) which do not provide demand information.

Energex has selected ten case studies which are considered informative in establishing a linkage

between demand charging and efficient use of the network.

The selected case studies include:

1. A medium sized tool store

2. A small to medium sized pet store

3. A small hotel

4. A freight and transport company

5. A residential service care company

6. An eat-in/take away food store

7. Fast food and delivery store

8. Gym / health club

9. Medical centre

10. Car dealer

The case studies include the following information:

Half hourly demand charges over the course of 1 year; these are shown on the charts as the

Minimum, Typical (median) and Maximum of each 30 minute demand interval for each month

of the year.

Customer’s load factor calculated on a monthly basis by dividing the average demand

reading by the maximum demand reading in the month.

The monthly bill impact of the demand tariff relative to NTC8500 - Business Flat calculated as

a percentage. The area above zero is an increase in charge relative to NTC8500, the area

below zero is a decrease in charge relative to NTC8500.

Summer is December to February

Winter is June to August

Shoulder is September to November and March to May

The case studies below are for illustrative purposes only.


Case Study 1 – Medium sized tool store

Half hourly demand for each month

Monthly load factor


Percentage bill change between the proposed demand tariff and NTC8500

Commentary

This business has fairly constant demand throughout the year, indicating that their current operating practice and equipment would need to change little to benefit from a demand tariff. A general rule is that the less the maximum demand deviates from typical demand and the more consistent demand is throughout the day (less outstanding peaks), the better off the business is likely to be on a demand tariff (compared to an energy tariff).

In April, probably due to a public holiday, this customer experienced a reduction in energy consumption but not in its peak demand. This resulted in a drop in load factor due to less efficient network usage. Consequently, this customer’s charges increased relative to NTC8500 on these two months under a demand tariff relative to a flat tariff.


Case Study 2 – Small to medium sized pet store


Monthly load factor



Commentary

This customer’s load factor demonstrates an efficient use of the network during summer and shoulder period. However, during winter, this customer’s load factor drops indicating a less efficient usage of the network and as a result of a small number of high demand peaks combined with decreased energy consumption. Electrical equipment (eg heaters) might have been turned on for short periods on a few occasions during the winter period. This has caused the maximum peak for the month to be much higher than a typical demand. From April to September this business would have experienced higher charges on the demand tariff than on T8500.

In January while having high demand, this customer also had high energy use, resulting in a better network utilisation (Load Factor) and ultimately lower charges on the demand tariff than on a flat energy tariff.


Case Study 3 – Small hotel


Monthly load factor



Commentary

This business appears to be managing its demand effectively with a load factor greater than 0.4. As a result, this customer would be better off on a demand tariff. In December, there was a spike in demand which would have led to an increase in the network bill. However, due to maintaining a good load factor they are still better off on the demand tariff compared to the flat volume tariff.


Case Study 4 – Freight and transport company


Monthly load factor



Commentary

This business has experienced a large decrease in consumption during the winter months however their demand has remained relatively high. This has caused the load factor to decrease substantially in winter reflecting a less efficient usage of the network resources.

While demand in January is high, the energy levels are also high resulting in this business being better off on a demand tariff.


Case Study 5 – Residential service care


Monthly load factor



Commentary

This business’s load profile looks very similar to residential customers with a small morning peak followed by a much larger late afternoon peak. Lower load factor levels in June-July and November-January periods indicate less efficient use of the network.

Compared to the energy they are using, their demand was high – this can be caused by heating in winter and air-conditioning in summer. On those months, this business would have faced higher monthly charges on the demand tariff.


Case Study 6 – Eat in/Take away food shop


Monthly load factor



Commentary

This business’s load factor is reasonably high and stable throughout the year except in September. Notwithstanding the lower load factor in September, this business would be better off on the demand tariff relative to the flat tariff.


Case Study 7 – Fast food and delivery store


Monthly load factor



Commentary

This business’s load profile is characterised by a stable demand. Furthermore, maximum demand does not deviate much from the typical demand. At nearly 0.6, this business’s load factor is very good, with the exception of July and August where the load factor fell slightly - maybe due to a decrease in activity or equipment usage during the winter period. This business would be better off on the demand tariff rather than the flat tariff.


Case Study 8 – Gym/health club


Monthly load factor



Commentary

This customer’s maximum demand is generally close to its typical demand throughout the year, indicating a good network efficiency in its demand. At 0.6, this business’s load factor is fairly high (a desired outcome), signifying efficiency in network utilisation. This business would be better off on the demand tariff.


Case Study 9 – Medical centre


Monthly load factor



Commentary

This business is characterised by good load factor levels between September and March, with a slight decline efficiency of the network utilisation between April and August.

This is reflected in this business’s monthly charges where it would be better off during the summer months on the demand tariff than on a flat energy based tariff.


Case Study 10 – Car dealer


Monthly load factor



Commentary

This customer’s load factor is high in June, July and August. During this period, demand is low compared to the rest of the year, possibly indicating a slowdown in the business’s activities or lesser reliance on air-conditioning.

The business’s maximum demand being close to its average demand resulted in an increase in power factor and a decrease in its monthly charges on a demand tariff vs a flat energy based tariff. During the summer, the business’s load factor dropped probably due to the increase in air-conditoning use during hotter days. Bill charges from October to April are less favourable on the demand tariff.

customer impact statement - energex · 4 september 2015 customer impact statement appendices 2...

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