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A novel characteristic-based degradation model of Li-ion batteries for maximum financial benefits of energy storage system during peak demand reductions

Lookup NU author(s): Dr Adib Allahham, Professor Haris Patsios

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This is the authors' accepted manuscript of an article that has been published in its final definitive form by Elsevier Ltd, 2023.

For re-use rights please refer to the publisher's terms and conditions.


Abstract

© 2023 Elsevier Ltd. Lithium-ion (Li-ion) batteries are increasingly common in the energy storage system (ESS) to perform grid services such as peak demand reductions for financial and environmental benefits to customers, utility companies and governments. However, to realize the maximum financial benefits of ESS, it is necessary to develop a degradation model that can predict the battery capacity losses and lifespan due to intermittent charging current, discharging current, depth of discharge (DOD) and temperature with time. Therefore, a characteristic-based degradation model is proposed to predict the degradation and lifespan of the batteries based on the characteristics of charging current, discharging current, DOD and temperature with time. This model is verified experimentally based on the second-life batteries set up on the university campus. This model is then integrated with the idling degradation model to predict the service lifespan, optimum capacity and maximum financial benefit of ESS with either first or second-life batteries under different operating conditions. With the DOD of 70 % and 80–20 % as the desired range of state of health (SOH), the optimum capacity of 34kWh ESS can deliver the highest net saving of 21,141 MYR (4727 USD) to the university over 17.3 years. On the other hand, the optimum capacity of 52 kWh ESS can achieve the maximum net saving of 78,924 MYR (17,647 USD) to a factory over 5.2 years under the DOD of 100 % with 100–80 % as the desired range of SOH.


Publication metadata

Author(s): Lam DHC, Lim YS, Wong J, Allahham A, Patsios C

Publication type: Article

Publication status: Published

Journal: Applied Energy

Year: 2023

Volume: 343

Print publication date: 01/08/2023

Online publication date: 15/05/2023

Acceptance date: 23/04/2023

Date deposited: 06/07/2023

ISSN (print): 0306-2619

ISSN (electronic): 1872-9118

Publisher: Elsevier Ltd

URL: https://doi.org/10.1016/j.apenergy.2023.121206

DOI: 10.1016/j.apenergy.2023.121206

ePrints DOI: 10.57711/f23c-eb97


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