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The Economic Impact of Battery Degradation Modelling Uncertainty

  • Battery energy storage systems (BESS) are used for a variety of applications, with their economic benefit often being the decisive factor for deployment. A multitude of physico-chemical aging mechanisms lead to capacity fade over a BESS life cycle. The models that are used to describe this capacity fade are prone to inherent model errors. Through a holistic techno-economic modelling approach, we investigate the impact of battery degradation modelling uncertainty on the economic benefit of representative BESS applications. Here, it is shown how improved parameter fit quality can reduce the resulting economic uncertainty. Furthermore, we highlight that the consideration of degradation modelling uncertainty is especially crucial when: (i) the cash flow highly depends on the available battery capacity, (ii) a fixed, e.g. warranty mandated, state of health limit acts as the threshold for battery end-of-life, (iii) long evaluation periods and low discount rates are the focus of economic evaluation.

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Metadaten
Author:Nils Collath, Paul Gasper, Andreas JossenORCiD, Kandler Smith, Holger C. HesseORCiDGND
DOI:https://doi.org/10.1109/PESGM48719.2022.9916844
Identifier:978-1-6654-0823-3 OPAC HS OPAC extern
Identifier:1944-9933 OPAC HS OPAC extern
Parent Title (English):2022 IEEE Power & Energy Society General Meeting (PESGM)
Publisher:IEEE
Document Type:conference proceeding (article)
Conference:2022 IEEE Power & Energy Society General Meeting (PESGM), 17-21 July 2022, Denver, CO, USA
Language:English
Date of Publication (online):2022/10/27
Year of first Publication:2022
Number of pages:5 Seiten
First Page:1
Last Page:5
Institutes:Fakultät Maschinenbau
IEAT - Institut für Energie- und Antriebstechnik
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften
Research focus:FSP1: Energie
Publication Lists:Hesse, Holger
Publication reviewed:begutachtet
Release Date:2023/05/09
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