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GreenCo Best Practices at Delhi AirportRenewable Energy & GHG Management
“How Green is our Company”
Delhi International Airport (P) Limited
June 2016
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64%26%
10%
DIAL
Company Profile: Delhi International Airport (P) Limited
� DIAL is a joint venture consortium of GMR Group,
Airports Authority of India (AAI), Fraport to operate,
maintain and develop the Indira Gandhi International
Airport (IGIA)
� Key activities -
� Airport Operations: to ensure safe,
seamless passage of Aircraft,
Passengers and Cargo
� Aero & Non Development
� Commercial Property Development
� Infrastructure Maintenance & Utility
Services
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ACI Awards
↗ World's number 1 position for the second consecutiv e
year in 25-40 Million Passengers Per Annum (MPPA)
category
↗ Best airport by size & region -- Asia Pacific (25-40 MPPA)
↗ Best airport by region (Asia Pacific).
↗ Achieved GreenCo Platinum, 2016↗ Achieved GreenCo Gold, 2015↗ Green Company Best Practices Award in Renewable Ene rgy
and GHG Mitigation, 2015↗ National Award for Excellence in Energy Efficiency, 2015, 2014↗ Golden Peacock Sustainability Award 2015↗ Golden Peacock Environment Management Award 2014
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“To be amongst the best in class airports by providing superior customer experience through deployment oftechnology and innovation, while sustaining profitability with care for environment and being a great place towork”
Our Mission & Policy: Energy & Environment
Executing effective processes to procure energyefficient, eco friendly technologies, products,services and equipment to promote use ofRenewable Energy wherever applicable Establish an integrated approach towards Green
House Gas (GHG) emission reduction andSustainability Management
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GreenCo Best Practices at Delhi Airport
Renewable Energy
Focus
� Promote Green Energy� Energy Security� Support Climate Change Mitigation
A-CDM
Focus
� Improve Operational Efficiency� Reduce Delay� Reduce Emission
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Renewable Energy at DIAL
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Objective & Action Plan
Objective:
↗ Improve energy security at organizational level by reduced dependency on
Grid connected power
↗ Fulfill Carbon Neutral Initiative.
↗ Also support “National Action Plan on Climate Change” & other National
and Global Climate Change Mitigation initiatives
Action Plans :
1. Constant endeavors towards renewable energy development.
2. Identify & develop potential resources for onsite renewable energy
development.
3. Explore the possibility of using offsite renewable energy sources
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Intent
� Achieving Mission : Through deployment of technology and innovation to sustaining profitability with care for environment
� Strategic Intent : Achieving Organizational level Energy Optimization Programs with alternative energy
source
� Sustainability Intent : Climate Change mitigation & Optimization of GHG emissions.
� Material Intent : Energy Cost Optimization & Energy Efficiency Improvement & Land Monetization
Analysis & Opportunities
� Energy Trend Analysis
� Energy Management SWOT Analysis
� Why - Why Analysis
� Fish Bone Analysis
� Market Scan
� 5S & Kaizen Project Implementation
� CIP & BLIP Projects Implementation
Problem Identification
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SOLUTIONS
Solar Wind Turbine Biogas Plant
Efficiency Improvement Capacity BuildingOperational
Improvements
Probable Solutions
Demand Side Solution
Supply Side Solution Biomass Plant
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Resource availability
Lesser gestation
period
Government benefits
(Accelerated Depreciation)
Maintenance friendly
Operational Risk
Cost Saving & Cash Flow in terms of
REC
Solar at Airport
Also inline with Government of India’s drive for pr omoting solar energy
Solar: Opportunities & Risk
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Regulatory risk assessment
Technical feasibility
Aviation related Impact assessment
Resource Availability01
02
03
04
Radiation Intensity, Day length, Shadow effect,
Temperature Profile etc.
Suitable technology and infrastructural requirements
Glare and radiation Impact study
Approvals from DGCA
� Feasibility Study with Special Design considerations to place the solar PV near Runway area-
� Site survey
� Initial glare and radiation impact analysis/Reverberation Study
� Power evacuation facility assessment
� Special permission has been obtained after multiple discussions with Directorate General of CivilAviation.
Implementation & Analysis
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Our Options: �Roof (Buildings- Admin & Terminals)�Car Parking �Land surface ( Airside & Land Side)
Selected Area: �Land surface ( Airside)
Site Selection
2.14+0.7MW
5 MW
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Parameter Values
Latitude 28.5°
Longitude 77.1°
Module inclination 13° in summer, 43° in winter
Module Azimuth 0° South
Distance Modules – Ground, Lower Edge 0.4 m
Distance Modules – Ground, Higher Edge 2.7 m
Glideslope (max, min) 3°, 1.14°
Maximum Height cockpit over runway (B747-400) 8.66 m
Minimum Height cockpit over runway (Dornier 228) 3 m
2.14 MW Plant
Top View of approaching cone west of runway 11-29 (glide slope angles max. 3.5 °, min 1.14 °) Overview of Runway 11-29 with the PV-plant in red
Glare Analysis
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The study included analysis of data related to-� Sun position and reflection� Runway/cone versus reflection, reflection period
Possible reflection periods for the 21st day of eac h month, Elevation 13 ° Possible reflection periods for the 21st day of eac h month, Elevation 43 °
2.14 MW Plant
Glare Analysis
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5 MW Plant
Possible reflection periods
33 Deg Winter Tilt5 Deg Summer Tilt
Glare Analysis
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SCADA System at IGIA
Control and Monitoring System
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Salient Features of 7.84 MWP Solar Power Plant at IGI
Parameters Values
2.84 MW 5 MW
No. of Modules 8736 & 2670 16400
Cells in one Module 60 60
Each Module Capacity 245 & 265 Wp 305 Wp
Total Plant Capacity 2840.32 kWp 5000 kWp
No. of strings per SMB 24 (maximum) 26 (maximum)
Total No. of strings 364 + 192 820
Total No. of SMB 16 + 8 32
Inverter Capacity 630 kW 1000 kW
Total No. of Inverters 4 4
Total No. of generation Transformer
2 2
Expected Life of Plant 25 years 25 years
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Energy Statistics FY 2015-16
IGIA Net consumption 134,964 MWh
Generation from Solar (2.84 MW) 3289 MWh
Generation from Solar (5 MW) 1525 MWh
Total Solar Generation (7.84 MW) 4814 MWh
Electricity Share from RE at DIAL
Cost economics for the implementation of the 5.7 MW project
Investment made : INR 32, 00, 00, 000
Annual savings achieved : INR 8, 20, 00, 000
Payback : 3.9 years
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Sol
ar P
V P
lant
In
form
atio
n
•Installed Capacity : 7.84 MW
• Expected Generation : 11, 775 MWh
• Expected Reduction: 10, 600 tCO2
• Location : South of Runway 11/29
• Generation at : 11KV
•Type of solar panel : Crystalline PV panels
2016 2018
First Airport in India to have MW scale solar plant in airside premises
2020
2.14 MW (2% of total energy
consumption)
2.14 MW+5.7 MW+ 5 MW (16% of total
energy consumption)
2.14 MW+ 5.7 MW(9% of total energy
consumption)
2014
20 MW of Solar PVMore than 25% of total
energy consumption
Current Status and Future Plan
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214
305 294 304 322 315 280 297 267 261218
176 176
277 297 320282
244 266308
255199 208
499
661
1146
1027982
0
200
400
600
800
1000
1200
1400
Jan Feb Mar Apr May Jun Jul Aug Sept Oct Nov Dec
Ele
ctri
city
ge
ne
rati
on
in
MW
h
Electricity generation from solar PV plant of DIAL
2014
2015
2016
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Identified areas viz: Airside locations and New Udaan Bhawan Car park are also being considered for development of Solar Plants
Future Plans – 20 MW by 2020
Current Status and Future Plan
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Replication potential of the project in Indian Indu stry
Delhi Airport2013
2016
2.14 MW
7.84 MW
Cochin Airport 2015 12 MW
AAI Airports (KOLKATA- 2MW) 2015 2 MW
Hyderabad Airport 2016 5 MW
Bangalore Airport 2016 In planning
Industrial Impact
IGIA (2013)
Cochin (2015)
Kolkata (2015)
Bangalore (2016)Industrial Impact
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Visit of Mr. Piyush Goyal at DIAL’s solar
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Airport Collaborative Decision Making
“Airport Collaborative Decision Making is the concept and a tool which aims at improving Air Traffic Flow
and Capacity Management (ATFCM) at airports by reducing delays, improving the predictability of aircraft
events, planning and optimizing the utilization of infrastructures and natural resources“
Air Traffic Movement in Delhi Airport is 1100 Per Day
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Problem Statement
Failure of Airlines aircraft scheduling & planning due to limited information
Customer dissatisfaction due to aircraft delays, imprecise aircraft arrival and departure information
Underutilization of resources and Airport infrastructure
High use of ground vehicles operations
Huge fuel consumption, greenhouse gas emission, noise issues etc.
How do we
reduce costs,
lower
emissions,
improve
punctuality,
an d forge
stronger
partnerships?
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Problem Identification & Root Cause Analysis
Why • Delay in landing and take off of Aircraft.
Why • Improper resource utilization due to communication errors between ATC and airport
Why • Inefficient use of Departure sequencing based upon “first call first served” between ATC and Airlines.
Why • Lack of Proper Synchronization.
A-CDM
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A-CDM process Flow
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Flights Arrival Section
DA-CDM at a Glance
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Flights Departure Section
DA-CDM at a Glance
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DA-CDM Dashboard
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Before After
� Aircraft Operator does not have clear
awareness about the Status and location of the
Aircraft.
� Ground Hander Operator do not have exact
information of the arrival time due to which there
is lack in resource usage.
� Fuel burn due to queues at the threshold is high.
� ATC operator don't have traffic information for
improved runway and capacity planning.
� Customer Satisfaction index is also very low due
to the delay in flight operation
� PFD (process flow diagram) from landing to Take
off is simplified.
� Pre departure Sequence Dashboard to provide
complete information in a bird's eye to AOCC
(Airport Operations Control Centre), ATC(Air
Traffic Controller).
� Due to CDM the Synchronization of Complete
system streamlined
� Customer satisfaction index also Increased.
Before and After Scenario Comparison
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Benefits of A-CDM
� Airport Operator has been able to ensure optimum utilization of airport infrastructures, leading to
improved OTP over the years and increase in ATM capacity. More stable traffic flows and reduced taxi
times have led to fewer queues at the runway or congestion on the apron or taxiways.
� Air Traffic Control has benefit from improved runway and capacity planning. More accurate take off time
predictions has led to more accurate calculations of the network demand by the Network Operations.
� The Ground Handler has benefited from more accurate arrival times, which allowed for more accurate
planning with more efficient use of resources.
� Aircraft Operators have an improved awareness about the status and location of the aircraft. Together
with sequence information and better arrival times, more accurate fleet predictions have resulted in
overall efficiency improvement. Fuel burn due to queues at the threshold will be reduced, which has both
economic and environmental benefits.
� Passengers will benefit from reduction in delays, and fewer missed connections. After disruptions
recovery will be faster. Also for arrivals more accurate information can be delivered to FIDS and service
desks.
A-CDM Benefits not only Airport Operator by also al l the stakeholders
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34.436.9
40.9
47.3
0
10
20
30
40
50
2012-2013 2013-2014 2014-2015 2015-2016
Mil
lio
n P
ax
Yearly Pax
281
291
301
323
260
270
280
290
300
310
320
330
2012-2013 2013-2014 2014-2015 2015-2016
Th
ou
san
d A
TM
Yearly ATM
37%37%Increase in Yearly Pax
13%13%Increase in Yearly ATM
Benefits of A-CDM
Current OTP of Delhi Airport is 88% (April, 2016)Highest OTP achieved for departure is 93% (September, 2015)
Highest overall OTP achieved is 90% (September, 2015)
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↗ First Airport in the country to have achieved this. It involves airport operators, airlines, ground
handlers & ATC collaborating and sharing data to increase overall airport efficiency. (5th June, 2013)
↗ The concept focuses on improving air traffic flow & capacity management at airports by reducing delays,
improving the predictability of events & optimizing the utilization of resources.
↗ 1 Minute reduced taxi time per Aircraft leads to saving of 2500 tons ATF = 7850 tons CO2 emissions per
annum.
Delhi A-CDM Joint Initiative
� Save cost
� Reduce emission
� Enhanced Airport capacity
� Improved operational efficiency
� Enhance trust and understanding with
partners
A-CDM at IGIA
Benefits of A-CDM
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Parameter Values
Per Day Fuel Savings 30,000 Kg
Per Year Fuel Savings (30,000 Kg * 365 days ) 10.95 Million Kg
Per year CO2 reduction through DA-CDM 34, 493 Million tCO2
Per Day Fuel Savings 37,500 Litres
Per Year Fuel Savings (37.5 Kilo Litres * 365 days ) 13.6875 Million Litres
Per year savings through DA-CDM
[13.6875 Million Litres @ INR 47.6/ Litre]
INR 639 Million
Calculated using: International Civil Aviation Organization (ICAO) IFSET (ICAO Fuel Savings Estimation Tool) Version 1.0 © ICAO 2011
Source:http://www.icao.int/APAC/Meetings/2014%20ATMSG2/AI4%20IP14%20New%20Delhi%20A-CDM%20Implementation%20(India).pdf
Benefits of A-CDM
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Target and Future Plan
Benchmark
1st airport in India to Design, Develop and implement the CDM(Collaborative Decision Making) in-house.
2) Update in Wikipedia : https://en.wikipedia.org/wiki/Indira_Gandhi_International_Airport
3)CDM at DIAL Website:http://www.newdelhiairport.in/delhi-airport-prepared-for-the-fog-season.aspx
Target To achieve on time performance of more than 90%+
Future Plan
Automation of Arrivals at Terminal 3 & Terminal 1
Sell CDM package to other Airports in India through AAI
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133535
121679
109904 108452 109806
3.723.54
2.73 2.65
2.32
0.00
0.50
1.00
1.50
2.00
2.50
3.00
3.50
4.00
0
20000
40000
60000
80000
100000
120000
140000
160000
2011-12 2012-13 2013-14 2014-15 2015-16
kg
CO
2/P
ax
tCO
2
Emission Trend of IGIA
3.884.11
4.42
4.08
2.873.14
2.60
2.982.68
2.462.32
0.00
0.50
1.00
1.50
2.00
2.50
3.00
3.50
4.00
4.50
5.00
Heathrow
(2013)
Heathrow
(2014)
Incheon (2012) Incheon (2013) Incheon (2014) HIAL (2013) HIAL (2014) IGIA (2013) IGIA (2014) IGIA (2015) IGIA (2016)
kg
CO
2/P
ax
GHG Emission Benchmarking
Second to None
Emission Trend of Delhi Airport and Benchmarking
Thank you