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Author Chintala, Rohit, author.

Title Residential battery modeling for control-oriented techno-economic studies: preprint / Rohit Chintala [and 4 others].

Publication Info. Golden, CO : National Renewable Energy Laboratory, September 2020.

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Description 1 online resource (16 pages) : color illustrations.
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Series Conference paper / NREL ; NREL/CP-5500-76065
Conference paper (National Renewable Energy Laboratory (U.S.)) ; NREL/CP-5500-76065.
Note In scope of the U.S. Government Publishing Office Cataloging and Indexing Program (C&I) and Federal Depository Library Program (FDLP).
"September 2020."
"Presented at the 2020 ACEEE Summer Study on Energy Efficiency in Buildings, August 17-21, 2020"--Cover.
Bibliography Includes bibliographical references (pages 15-16).
Funding DE-AC36-08GO28308
Note Description based on online resource; title from PDF title page (NREL, viewed February 28, 2023).
Summary Electrochemical batteries, which serve as electric energy storage devices, are becoming increasingly popular among residential buildings that incorporate solar photovoltaic (PV) systems to help meet their energy needs. Battery economics are affected by performance degradation over time, and managing this degradation can help extend the battery's lifespan. The tradeoff between operational costs/benefits and managing battery degradation is of significant research interest. One of the key factors for assessing battery degradation is the dispatch strategy used to control the charging and discharging of the battery. Conventional dispatch strategies typically use simple rule-based methods, and these overly aggressive charging/discharging cycles can significantly reduce a battery's life span. Our research seeks to develop optimized dispatch strategies for grid-connected PV homes with a goal of extending battery life while simultaneously taking into consideration utility costs and occupant comfort. To achieve this goal, we adapted lithium-ion battery life- and cyclic-degradation models for use in high-fidelity building simulations, so whole-building and grid-interactive controllers can dispatch the batteries along with other flexible loads. With the help of a co-simulation platform, we performed a simulation study to compute the optimized dispatch strategies for relevant operating conditions brought about by changing geographical locations, weather conditions, and utility pricing. Comparing the optimized strategies with the conventional strategies resulted in a >50% decrease in capacity degradation and >10% average reduction in operational costs during the months of January and July in Fort Collins, Colorado; Phoenix, Arizona; and Portland, Oregon.
Subject Storage batteries -- United States -- Simulation methods.
Solar energy -- Storage -- United States.
Solar houses -- Economic aspects -- United States.
Solar houses -- Environmental aspects -- United States.
Accumulateurs -- États-Unis -- Méthodes de simulation.
Solar energy -- Storage
Solar houses -- Economic aspects
United States https://id.oclc.org/worldcat/entity/E39PBJtxgQXMWqmjMjjwXRHgrq
Indexed Term buildings
grid-connected PV
lithium-ion batteries
residential
Added Author National Renewable Energy Laboratory (U.S.), issuing body.
United States. Department of Energy, sponsoring body.
Standard No. 1669521 OSTI ID
0000-0001-9143-9788
0000-0002-5700-4163
0000-0002-4539-2402
0000-0002-7850-5696
Gpo Item No. 0430-P-04 (online)
Sudoc No. E 9.17:NREL/CP-5500-76065

 
    
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