Abstract
Californian residencies face increased risk of blackout. The state depends more on imported electricity that may not always be available to fill the gap between renewable generation and demand. For buildings with PV panels, storing the surplus solar power to support the load during a blackout can be achieved with a large energy storage system (ESS). The electric vehicle (EV) provides potential solutions as it can expand the energy capacity of the residential ESS with its battery. In this paper, a reference house in California was modeled in EnergyPlus. The building resilience for a house with different load percentages were studied, for both with, and without EV scenarios.
Original language | English |
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Title of host publication | 2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021 |
Pages | 584-587 |
Number of pages | 4 |
ISBN (Electronic) | 9781728175836 |
DOIs | |
State | Published - Jun 21 2021 |
Event | 2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021 - Chicago, United States Duration: Jun 21 2021 → Jun 25 2021 |
Publication series
Name | 2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021 |
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Conference
Conference | 2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021 |
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Country/Territory | United States |
City | Chicago |
Period | 6/21/21 → 6/25/21 |
Bibliographical note
Funding Information:VI. ACKNOWLEDGMENT This material is based upon work supported by the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, NEPA Determination under Award Number DE-EE0008352. The authors are thankful to the project collaborators, and especially to Mr. Gregory Smith and Dr. May Jang of Flex Power Control, Inc. for their technical comments and recommendations.
Publisher Copyright:
© 2021 IEEE.
Keywords
- Battery Energy Storage System (BESS)
- Blackout
- Electric Vehicle (EV)
- Home Energy Management (HEM)
- Resilience
- Vehicle-to-Home (V2H)
ASJC Scopus subject areas
- Automotive Engineering
- Electrical and Electronic Engineering
- Control and Optimization
- Transportation