The Power Chapter WEBINAR: Benchmarking Demand Flexibility for Grid-interactive Efficient Buildings
The Power Chapter WEBINAR: Benchmarking Demand Flexibility for Grid-interactive Efficient Buildings
Building demand flexibility (DF) research has recently gained attention. To unlock building DF as a predictable grid resource, we must establish a quantitative understanding of the resource size, performance variability, and predictability based on large empirical datasets. The electrical grid’s geographically diverse and changing nature presents challenges to comparing building DF performance measured under different conditions (i.e., benchmarking DF). To address this challenge, a novel DF benchmarking framework focused on load shedding and shifting is presented; the foundation is a set of simple, proven single-event metrics with attributes describing event conditions. These enable benchmarking and identifying trends that represent how these attributes influence DF. To test its feasibility and scalability, the DF framework was applied to two case studies of 11 office buildings and 121 big-box retail buildings with demand response participation data. These examples provided a pathway for using both building level benchmarking and aggregation to extract insights into building DF about magnitude, consistency, and influential factors.
This webinar can draw more attention from energy audience to focus on the grid-interactive efficiency buildings and participate in the SBCS subcommittee and associated task forces. The presented work also provides cutting-edge research outcome for the community.
Building demand flexibility (DF) research has recently gained attention. To unlock building DF as a predictable grid resource, we must establish a quantitative understanding of the resource size, performance variability, and predictability based on large empirical datasets. The electrical grid’s geographically diverse and changing nature presents challenges to comparing building DF performance measured under different conditions (i.e., benchmarking DF). To address this challenge, a novel DF benchmarking framework focused on load shedding and shifting is presented; the foundation is a set of simple, proven single-event metrics with attributes describing event conditions. These enable benchmarking and identifying trends that represent how these attributes influence DF. To test its feasibility and scalability, the DF framework was applied to two case studies of 11 office buildings and 121 big-box retail buildings with demand response participation data. These examples provided a pathway for using both building level benchmarking and aggregation to extract insights into building DF about magnitude, consistency, and influential factors.
This webinar can draw more attention from energy audience to focus on the grid-interactive efficiency buildings and participate in the SBCS subcommittee and associated task forces. The presented work also provides cutting-edge research outcome for the community.
Date and Time
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- Date: 30 Jan 2023
- Time: 06:00 PM UTC to 07:00 PM UTC
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- Co-sponsored by Richard Kolodziejczyk
Speakers
Jingjing Liu, , P.E., CDCP of Lawrence Berkeley National Laboratory
The Power Chapter Presents a WEBINAR: Benchmarking Demand Flexibility for Grid-interactive Efficient Buildings
Benchmarking Demand Flexibility for Grid-interactive Efficient Buildings
Biography:
Jingjing Liu, P.E., CDCP is a Program Manager in the Building Technology and Urban Systems (BTUS) Division at Lawrence Berkeley National Laboratory. She has more than 16 years of experience in commercial and industrial (C&I) demand-side management. She is currently leading and contributing to research activities on grid-interactive efficient buildings (GEB), demand flexibility (DF), integrating DERs for grid services, interoperability, and data center efficiency and resiliency.
Address:United States