SEMINAR: 2025 California Demand Response Potential Study: Data-driven modeling of distributed energy resources to inform public policy
Demand response (DR) is evolving from a rarely-used peak load shedding concept to a dynamic and multi-function service that can facilitate integration of renewable generation into the electric power system. This talk will be a synthesis of the 2025 California Demand Response Potential Study, an LBNL-led effort to support the California Public Utilities Commission in their development of statewide energy planning and operations policy. We found there are significant opportunities for DR to provide value to the future power system by shedding load at peak times to support local and neighborhood-scale operations, by shifting the timing of loads to capture mid-day solar surplus, and by providing fast responses to second- and minute-time-scale disturbances. Overall, I will describe how we designed and implemented the study to help inform the choices among complementary and sometimes competing technology options that are faced in the process modernizing the power system. The study broke new ground analytically in three areas: 1) It is based on high resolution load data (over 200k SmartMeter load shapes), which has not traditionally been the case for models supporting public policy. 2) We developed a taxonomy of advanced DR resources (with categories called “Shape, Shift, Shed, & Shimmy”) that is both tractable for large-scale modeling and understandable for policymakers. 3) We developed a technique for estimating supply curves of DR resources that enables fair comparison with flexibility alternatives.
Assistant Professor of Environmental Resources Engineering at Humboldt State University Faculty Scientist at Schatz Energy Research Center Affiliated Researcher with Lawrence Berkeley National Laboratory
Dr. Peter Alstone is an Assistant Professor of Environmental Resources Engineering and a Faculty Scientist at Schatz Energy Research Center at Humboldt State University. His research bridges clean energy and information technology development, with interdisciplinary methods that bring together data science, field study, technology development, and economic analysis. The current focus areas of Peter's work are advanced off-grid energy systems and distributed energy systems that facilitate renewables integration on the grid. Dr. Alstone holds a PhD in Energy and Resources from the University of California, Berkeley. He was formerly an ITRI-Rosenfeld Fellow in the Energy Technologies Area and is an Affiliated Researcher at Lawrence Berkeley National Laboratory.