Impacts of SGIG Consumer Behavior Studies of Time-Based Rates on Customer Acceptance, Retention and Response

Presented by: Peter Cappers, Research Scientist - Lawrence Berkeley National Laboratory

Thursday, January 19, 2017 | 1:00 – 2:00pm ET

Since 2009, the U.S. Department of Energy (DOE) and the electric power industry have jointly invested over $7.9 billion in 99 cost-shared Smart Grid Investment Grant (SGIG) projects. Ten electric utilities agreed to conduct consumer behavior studies (CBS) and produce comprehensive reports with the aim of evaluating customer responses to various types of time-based rate programs implemented in conjunction with information and control technologies.

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Results summarizing the analyses of the CBS utilities will be presented over five different topical areas:

(1) Recruitment approaches – effects of opt-in and opt-out
(2) Pricing versus rebates – effects of CPP and CPR
(3) Customer information technologies – effects of IHDs
(4) Customer control technologies – effects of PCTs
(5) Customer response to prices – effects of TOU.

Peter Cappers

About the Speaker:

Peter Cappers, a Research Scientist and Deputy Group Leader in the Electricity Markets and Policy Group at the Lawrence Berkeley National Laboratory, has conducted research for the past 15 years into demand response and energy efficiency issues. At present, he is leading DOE’s technical assistance and evaluation efforts of eleven Smart Grid Investment Grant projects who agreed to undertake a dynamic pricing consumer behavior study with a controlled and randomized experimental design approach. Prior to joining LBNL, he worked for Neenan Associates where he helped to develop and implement techniques for quantifying customer price response to both dynamic retail rates and wholesale demand response programs, and their subsequent impact on wholesale market prices, price volatility, and service reliability. Mr. Cappers received a B.A. in 1997 from Syracuse University in Mathematics and Economics, and a M.S. in 2005 from Cornell University in Applied Economics.


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