for DR & EE Programs Parag Kulkarni Dr. Rahul Walawalkar - - PowerPoint PPT Presentation

▶
for
SMART_READER_LITE
LIVE PREVIEW

for DR & EE Programs Parag Kulkarni Dr. Rahul Walawalkar - - PowerPoint PPT Presentation

Dec 07, 2022 354 likes •715 views

Data Acquisition and M&V for DR & EE Programs Parag Kulkarni Dr. Rahul Walawalkar CMVP, CEA, IGBC-AP CEM, CDSM, CSDP Manager, DR Program VP, Emerging Tech & Markets Presentation at the Fourth Meeting of the "Utility CEO

slide-1
SLIDE 1

Data Acquisition and M&V for DR & EE Programs

Presentation at the Fourth Meeting of the "Utility CEO Forum on DSM“

  • n 13th Dec 2013 at New Delhi

Parag Kulkarni

CMVP, CEA, IGBC-AP

Manager, DR Program

  • Dr. Rahul Walawalkar

CEM, CDSM, CSDP

VP, Emerging Tech & Markets

slide-2
SLIDE 2

Company Overview DSM & Demand Response M&V in DR & EE Programs Case Studies

slide-3
SLIDE 3

Customized Energy Solutions

We maximize value of existing and emerging electric infrastructure through active resource management.

slide-4
SLIDE 4

Experience in North America and India

  • Customized Energy Solutions helps over 300 clients across all 7

competitive electricity markets in USA and India

  • In 2010, Customized launched India operations
  • Manages over 500 MW of DR program in US and launched India’s

1st DR program for Tata Power with 25 MW DR

slide-5
SLIDE 5

DSM, DR AND M&V

Section

slide-6
SLIDE 6

Demand Side Management and Demand Response

  • In the electric industry, the term ‘Demand Side Management’ (DSM)

refers to programs that attempt to influence customer consumption patterns of electricity to match current or projected capabilities of the power supply system.

  • DSM consists of two major components: Demand Response (DR)

and Energy Efficiency (EE), which is also considered as conservation.

  • Definition of Demand response : Changes in electric usage by

end‐use customers from their normal consumption patterns in response to changes in the price of electricity over time, or to incentive payments designed to induce lower electricity use at time

  • f high wholesale market prices or when system reliability is

jeopardized

slide-7
SLIDE 7

Need for Demand Response

slide-8
SLIDE 8

Short Run Marginal Cost Curve & Price Duration Curve

slide-9
SLIDE 9

Framework for DR Benefit Analysis

9

LMP*

slide-10
SLIDE 10

Types of DR Programs

slide-11
SLIDE 11

Why Demand Response With Energy Efficiency ??

  • For Customer:
  • DR can result in an appreciable reduction in system marginal costs of

production during peak time, which result in long term cost reduction for consumers.

  • DR also presents a way to earn added revenues for implementing EE

measures and having flexible controls incorporated in operations;

  • Simultaneously helps to improve grid reliability
  • In spite of such financial benefits, DR participation in PJM programs

was only 0.2% during the all time system peak in 2006.

  • There has been a recent growth in DR participation in Emergency

DR programs that provide capacity payment for peak load reduction

  • Significant opportunities still exist in integrating energy efficiency and

flexible control capabilities for maximizing economic & ancillary service DR participation

slide-12
SLIDE 12

It’s A Team Effort: Win-Win-Win

  • Customer / Energy Manager
  • Main beneficiary and determines the operating parameters
  • Facilitates execution for both EE and DR projects
  • Can communicate new opportunities with management to

determine ways to maximize participation

  • Utilities / ESCO / Performance Contracting Company
  • Provides technical, engineering and financing expertise
  • Can use additional DR revenue to expand scope
  • Evaluate investments based on incremental costs, that can add

significant capabilities for DR participation

  • Provide a technical bridge between customer goals and market
  • pportunities identified by CSPs
  • Curtailment Service Provider
  • Provides functional & market expertise as well as interface to

wholesale electricity markets

slide-13
SLIDE 13

Benefits of Using CSPs in DR Process by Utilities / ESCOs

  • CSPs are registered market participants in the ISOs
  • Involves paying ISO registration fees,
  • Employing and training staff to know ISO rules and regulations
  • Fulfilling credit requirements for market participation
  • Verify that projects meet the ISO program criteria to ensure payment
  • ISO based programs have evolved over past decade and still

undergoing changes

  • important to be an active market participant to maximize value
  • CSPs can provide in depth market knowledge and domain expertise

to maximize the revenue potential from DR participation

  • Certain CSPs can also provide 24*7 operational support and control

capabilities that could be vital in optimizing revenues from economic and ancillary service programs

  • It is important to choose the right partner to compliment the skills

available within ESCOs and ensure that the goals of all partners are aligned to maximize benefits for all

slide-14
SLIDE 14

Integrating EE & DSM options

slide-15
SLIDE 15

Role of M&V in DR

  • Customer Base Line

(Weekday high 4 of 5, Saturday high 2 of 3 and Sunday/Holiday high 2 of 3) Lookback window = 45 Days (may be extended up to an additional 15 days) Exclude event day = like day type 25% average event period usage threshold Like day prior to event day is used Self schedule notification hours must align with settlement hours

15

slide-16
SLIDE 16

SecureNet-RT Synchronous Reserve Participation

slide-17
SLIDE 17

Demand Response and M&V

  • For any of the type of DR program employed, all require analysis to

estimate the demand reduction.

  • The estimate is the difference between what the customer actually

used and what that customer would have used had the program not been enacted.

  • What the customer would have used is referred to as the baseline

(CBL) and is key to effective Measurement and Verification.

  • Baseline generation is an evolving process with a limiting factor

being data availability.

  • New methods of establishing baselines and measuring their

accuracies will continue to grow as Demand Response evolves utilizing the advanced technologies that will be enabled by Advanced Metering Infrastructure (AMI).

slide-18
SLIDE 18

Demand Response and M&V

  • Measurement and Verification (M&V) refers to the application of

appropriate statistical and load research techniques to measure and verify the load reduction impact resulting from the utilization of a Demand Response program.

  • Events may last for one or more hours
  • The measurement typically quantifies the entire event period, and

may also quantify the reduction during the peak hour.

  • Measurement can be reported in MW, hourly kW, peak kW, etc.

and may further be reported in a variety of intervals including 15, 30, 60 minute and total event duration.

  • Measurement quantifies this load reduction and Verification

provides evidence that the reduction is reliable.

slide-19
SLIDE 19

Quantification of Load Reduction Value

slide-20
SLIDE 20

Quantification of Load Reduction Value..

Baseline (CBL) – The amount of energy the customer would have consumed in absence of a signal to reduce. Actual Use – The amount of energy the customer actually consumed during the DR event period. Load Reduction ‐ The mathematical difference between the Baseline and the Actual Use. Baseline – Actual Use = Load Reduction

slide-21
SLIDE 21

Baselines (CBL)

  • Baselines can be divided into three different types.
  • Historical – Based on some market relevant usage
  • f power during a historical period
  • Statistical – Based on a regression analysis of load

data

  • Calculated- Based on a previously agreed upon

calculation that has been shown to accurately predict usage.

  • Generation- Certain programs may use the meter data

from behind the meter generation as a proxy for how much load was dropped

slide-22
SLIDE 22

Some CBL approaches used for individual customers

  • Day Matching
  • Previous Days approach
  • Average daily energy use approach
  • Proxy day approach
  • Baseline adjustments
  • Weather sensitivity
  • Morning adjustment
  • Regression methods
slide-23
SLIDE 23

Some thoughts…

  • Many types of Demand Response Programs are

currently in place.

  • The M&V of a Demand Response event is and will

continue to be a subject that requires more than a single methodology that can be applied to these wide range of programs.

  • A proper selection of baseline load curves of

customer use can provide the similar shape for ‘what a customer‘s load would have been’ in absence of a demand response event.

slide-24
SLIDE 24

Tata Power Demand Response Program

  • Customized Energy Solutions is working as an

aggregator and service provider for implementation of Demand Response Program for Tata Power Company- Mumbai

  • Program is running for more than 2 years now, and

achieved participation of @ 40 C&I facilities

  • Aggregated

More than 20 MW DRP and demonstrated 12 MW load curtailment.

  • Program received “Innovative Energy Service

Award - 2012” by CII at national level.

slide-25
SLIDE 25

CBL Methodology used

Baseline established as highest 4 of last 5 working days excluding weekends, holidays and prior event days

slide-26
SLIDE 26

Cumulative DR performance Report

10.3 11.7 11.5 10.5 10 20 30 40 50 60 70 13:30 14:00 14:30 15:00 15:30 16:00 16:30 17:00 17:30 18:00 18:30 19:00 13:00 13:30 14:00 14:30 15:00 15:30 16:00 16:30 17:00 17:30 18:00 18:30 MW Load curtailed(MW) Total CBL -MW Total Event day load - MW

Cumulative DR

slide-27
SLIDE 27

LCM- Staggering of pumping

0.00 0.20 0.40 0.60 0.80 1.00 1.20 1.40 09:30 10:00 10:30 11:00 11:30 12:00 12:30 13:00 13:30 14:00 14:30 15:00 15:30 16:00 16:30 17:00 09:00 09:30 10:00 10:30 11:00 11:30 12:00 12:30 13:00 13:30 14:00 14:30 15:00 15:30 16:00 16:30 Customer Base Line (MW) Actual Customer Load (MW)

slide-28
SLIDE 28

LCM- Use of TES

0.5 1 1.5 2 2.5 3 3.5 4 12:30 13:00 13:30 14:00 14:30 15:00 15:30 16:00 16:30 17:00 17:30 18:00 18:30 19:00 19:30 20:00 12:00 12:30 13:00 13:30 14:00 14:30 15:00 15:30 16:00 16:30 17:00 17:30 18:00 18:30 19:00 19:30 MW

Customer Base Line (MW) Actual Customer Load (MW)

slide-29
SLIDE 29

LCM- DR on Chiller

0.00 0.10 0.20 0.30 0.40 0.50 0.60 0.70 12:30 13:00 13:30 14:00 14:30 15:00 15:30 16:00 16:30 17:00 17:30 18:00 18:30 19:00 19:30 20:00 12:00 12:30 13:00 13:30 14:00 14:30 15:00 15:30 16:00 16:30 17:00 17:30 18:00 18:30 19:00 19:30

Customer Base Line (MW) Actual Customer Load (MW)

slide-30
SLIDE 30

LCM- AC temp increase

0.00 0.20 0.40 0.60 0.80 1.00 1.20 1.40 1.60 12:30 13:00 13:30 14:00 14:30 15:00 15:30 16:00 16:30 17:00 17:30 18:00 12:00 12:30 13:00 13:30 14:00 14:30 15:00 15:30 16:00 16:30 17:00 17:30 Customer Base Line (MW) Actual Customer Load (MW)

slide-31
SLIDE 31

Web based Reporting of DR event to customer

slide-32
SLIDE 32

Event duration

Web based Reporting of DR event to customer

slide-33
SLIDE 33

Revenue earned

Web based Reporting of DR event to customer

slide-34
SLIDE 34

Thank You

Customized Energy Solutions India Pvt. Ltd.

A 501, GO Square Aundh - Hinjewadi Link Rd, Wakad Pune, Maharashtra 411057 India Phone: 91-20-32407682 info@ces-ltd.com

Customized Energy Solutions Ltd.

1528 Walnut Street, 22nd Floor Philadelphia, PA 19102 USA Phone: +1-215-875-9440 Fax: +1-215-875-9490 info@ces-ltd.com

Parag Kulkarni

Email:

pkulkarni@ces-ltd.com

Mobile: +91-9324232791