Demand Response Research and Capabilities at LBNL

Chuck GoldmanCAGoldman@lbl.gov

Lawrence Berkeley National Laboratory

Midwest Demand Response InitiativeSteering Committee Kick-Off Meeting

Chicago, IllinoisFebruary 9, 2007

Overview of DR Research at LBNL

Electricity Markets and Policy Group Conducts research and provides technical assistance to policymakers on

demand response

– and utility system planning, energy efficiency, renewable energy, power system reliability, and DG

Demand Response Research Center LBNL manages a multi-institutional center for DR research, funded by

the California Energy Commission’s Public Interest Energy Research Program

LBNL projects focus on developing technologies and protocols for Automated Demand Response (Auto-DR) for C/I customers

DR Market Assessment & Valuation

Estimating Demand Response Potential Among Large Commercial and Industrial Customers: A Scoping Study Develops analytical techniques and identifies data sources for

conducting demand response market potential studies

Benefits of Demand Response in Electricity Markets and Recommendations for Achieving Them A DOE Report to U.S. Congress (Section 1252 of the Energy Policy Act

of 2005) Framework for assessing DR Benefits (and costs); comparative review of

existing studies; high-level policy recommendations for developing DR nation-wide

Tracking DR and RTP Program Experience

DR Program Activity and Impacts: Summer 2006 Interviewed ~30 ISO/utility program managers to assess DR program

experience; snapshot of “state of DR market”

Real-time Hourly Pricing as a Default Service Tariff Conducted stakeholder interviews and in-depth review of regulatory

records in all five states where RTP hourly pricing had been adopted as the default service for large customers (through Summer 2004)

Characterized experiences with, and potential for, this form of dynamic pricing to serve as a source of demand response

Survey of Utility Experiences with RTP as an Optional Service Conducted interviews with ~40 utilities offering optional RTP programs

to characterize their actual/potential role as a source of DR

DR and RTP Program Evaluation

Niagara Mohawk (National Grid) Day-Ahead RTP for Large C&I Customers Estimated price elasticities for 120 customers for five years; characterize

price responsiveness across customer market segments; and DR potential

In-depth customer interviews; assess factors affecting participation in hourly pricing and price responsiveness

Evaluation of NYISO DR Programs (2001, 2002) Customer survey: barriers, factors influencing decisions to participate,

curtail; role of enabling technologies Estimated customer price elasticities and market benefits

DR Technical Assistance

Direct Technical Assistance Technical Advisor to New-England Demand Response Initiative

(NEDRI) IEA Demand Response Resource (DRR) Program and Market Analysis

project ISO-NE DR Program Design New Jersey Multi-year DR Strategic Plan NYSERDA DR Programs

Measurement & Verification Methods Developed M&V Protocol for New England ISO (and NYISO) DR

program for non-interval metered customers

LBNL Demand Response Research Center Activities

Recent and Ongoing Projects

Evaluation of RTP for Large Users

Demand Shifting with Thermal Mass

Automated Demand Response in Commercial Buildings

Project 1

Project 2

Project 3

New Projects

Industrial DR – Strategies in Audits

Industrial DR in Food Processing

DR Behavior Solicitation (2-3 Projects Forthcoming)

Project 4

Project 5

Project 6

Polling Client & Internet Relay

Software components

2 3

Electric Loads

CC C

EMCS Protocol

3

InternetGateway

Test SitesC = EMCS Controllers

Price Server System 2

Polling Client

4

Electric Loads

CC C

EMCS Protocol

3Polling Client

4

C

Internet Relay

PG&E CPP Event Initiation System

1

Internet & private WANs

Electric Loads

CC C

EMCS Protocol

C

CLIRBox

Price Server component

Electric Loads

CC C

EMCS Protocol

4

C

Internet Relay3

4

Auto-DR System OverviewDemand Response Automation Server (DRAS)

Internet Relay

Client & Logic withIntegrated Relay (CLIR)

Utility

Polling Client & Internet Relay

Software components

2 3

Electric Loads

CC C

EMCS Protocol

3

InternetGateway

Test SitesC = EMCS Controllers

Price Server System 2

Polling Client

4

Electric Loads

CC C

EMCS Protocol

3Polling Client

4

C

Internet Relay

PG&E CPP Event Initiation System

1

Internet & private WANs

Electric Loads

CC C

EMCS Protocol

C

CLIRBox

Price Server component

Electric Loads

CC C

EMCS Protocol

4

C

Internet Relay3

4

Utility or IOUEvent Trigger

XML

XM

L

XM

L

XML

Modbus

Auto-DR Results: Peak Demand Savings in 2006 CPP Program

30%

6%

19%

20%15%

21%23%

4%10%

3%

23%16% 6%

15%

0

50

100

150

200

250

300

350

400

450

500

Co

un

ty O

ffic

e 1

Off

ice

+ D

ata

Ctr

Mu

seu

m

Co

un

ty O

ffic

e 2

Co

un

ty O

ffic

e 3

De

ten

tion

Fa

c.

Off

ice

1

Off

ice

2

La

b F

aci

lity

1

La

b F

aci

lity

2

Off

ice

3

Re

tail

Sto

re 1

Re

tail

Sto

re 2

Ag

gre

ga

ted

Ave

rag

e

Av

era

ge

De

ma

nd

Sa

vin

g [

kW

]3

pm

- 6

pm

(H

igh

Pri

ce

Pe

rio

d)

1200

1150

11001138 kW

• Average reduction was 14% during 3 hour peak period• Technology performed well: continued use during heat wave

For additional information...

Electricity Markets and Policy Grouphttp://eetd.lbl.gov/ea/emp

http://eetd.lbl.gov/ea/emp/drlm-pubs.html

Demand Response Research Centerhttp://drrc.lbl.gov