Model for payback time of using retired electric vehicle batteries in residential energy storage systems

Abstract

This work presents a mathematical model for the payback time of reusing electric vehicle batteries as residential energy storage systems from the end of life of automotive application. The model was developed using MATLAB software and calculates the payback time of a battery energy storage system (BESS) under different scenarios while considering the daily electricity consumption profile for a UK household. The results show that battery purchase price, BESS capacity, electricity unit rates and electricity demand profile are variables with large effects on the payback time. At the simulated baseline condition with residential households of two people, a BESS using second-life batteries from five different vehicle models showed payback time ranging from 8.3 to 12.8 years. The combination of battery rightsizing to attend peak and standard demand, battery price drop by 46%, reaching the level where EV price becomes competitive with conventional vehicles, and BESS application to three or more households provides the most favourable scenario with the minimum payback time of 4.8 years. Further reduction in the payback time of up to 41% can be achieved with subsidised off-peak electricity unit rate.

Publication DOI: https://doi.org/10.1016/j.energy.2022.124975
Divisions: College of Engineering & Physical Sciences > School of Engineering and Technology > Mechanical, Biomedical & Design
College of Engineering & Physical Sciences
College of Engineering & Physical Sciences > Energy and Bioproducts Research Institute (EBRI)
Aston University (General)
Additional Information: © 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY licence 4.0
Uncontrolled Keywords: Electric vehicle batteries,Battery energy storage system,Payback time,Reusability study,Energy model
Publication ISSN: 0360-5442
Last Modified: 09 Dec 2024 08:48
Date Deposited: 04 Aug 2022 15:13
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Related URLs: https://www.sci ... 8746?via%3Dihub (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2022-11-15
Published Online Date: 2022-08-03
Accepted Date: 2022-07-26
Authors: Al-Wreikat, Yazan
Attfield, Emily Kate
Sodre, Jose Ricardo (ORCID Profile 0000-0003-2243-8719)

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Version: Accepted Version

License: Creative Commons Attribution

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