Dong, S., Kremers, E., Brucoli, M. et al. (2 more authors) (2021) Establishing the value of community energy storage: a comparative analysis of the UK and Germany. Journal of Energy Storage, 40. 102709. ISSN 2352-152X
Abstract
Both UK and Germany have committed to mitigating greenhouse gas emissions and tackling climate change. In the past decade, a surge of residential solar and storage applications has been accelerated by subsidies, cost reduction of the system and increasing energy prices. Many advantages of community energy storage have been identified and its applications have been widely investigated. However, its profitability is still questionable, and more work is needed to improve its accessibility. Here we compare and contrast community energy storage using lithium-ion batteries in the UK and Germany – two countries with different solar profiles and different electricity tariffs. Results indicate that the primary impacting factor on self-sufficiency is the solar generation, meaning that communities in Germany can be up to 30% more self-sufficient than their UK counterparts. Additionally, the profitability of households in Germany is also higher (achieving a simple payback time of less than 10 years) due to the subsidies for storage and on-site generation. The results highlight the importance of using a location-specific approach for system planning. For example, households in Germany should aim to fully exploit on-site generation, whilst UK households should improve generation output, for example by using a hybrid PV plus wind turbine system. In addition, more financial and regulatory support is needed in the UK to improve project feasibility.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 Elsevier Ltd. This is an author produced version of a paper subsequently published in Journal of Energy Storage. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
Keywords: | Agent-based modelling; Community energy storage; Distributed generation; Battery management |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Chemical and Biological Engineering (Sheffield) |
Funding Information: | Funder Grant number Engineering and Physical Sciences Research Council EP/L016818/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 25 May 2021 07:31 |
Last Modified: | 28 May 2022 00:38 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.est.2021.102709 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:174166 |
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Licence: CC-BY-NC-ND 4.0