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Peer-to-Peer Energy Trading in a Local Community Under the Future Climate Change Scenario
Dalarna University, School of Information and Engineering, Energy Technology.ORCID iD: 0000-0003-3025-6333
Department of Architecture, Aalto University, Espoo, Finland.
Dalarna University, School of Information and Engineering, Energy Technology.ORCID iD: 0000-0002-2369-0169
2023 (English)In: Future Urban Energy System for Buildings: The Pathway Towards Flexibility, Resilience and Optimization / [ed] Zhang, Xingxing, Huang, Pei, Sun, Yongjun, Singapore: Springer Nature, 2023, Vol. Part F2770, p. 209-229Chapter in book (Other academic)
Sustainable development
SDG 7: Affordable and clean energy, SDG 8: Decent work and economic growth, SDG 13: Climate action
Abstract [en]

Peer-to-peer (P2P) energy sharing among neighboring households is a promising solution to mitigating the difficulties of renewable power (such as solar photovoltaics (PV)) penetration on the power grid. Until now, there is still a lack of study on the impacts of future climate change on the P2P energy trading performances. The future climate change will cause variances in the renewable energy production and further lead to changes in the economic performances of households with various energy uses and affect the decision making in PV ownership and pricing strategies. Being unaware of these impacts could potentially hinder the P2P energy sharing application in practice. To bridge such knowledge gap, this chapter conducts a systematic investigation of the climate change impacts on the energy sharing performance in solar PV power shared communities. The future weather data is generated using the Morphine method, and an agent-based modeling method is used for simulating the energy trading behaviors of households. Four comparative scenarios of different PV ownerships and pricing strategies are designed. The detailed energy trading performances (including the PV power self-sufficiency, cost saving, revenues, and compound annual growth rate) for the four comparative scenarios are analyzed under both the present and future climates and compared. The study results of a building community located in Sweden show that the future climate change is more beneficial to large energy use households while less beneficial to small households. High price of energy trading can improve the fairness of the economic performances in the community, especially when some of the households do not have any PV ownership. This chapter can help understand the future climate impacts on the energy sharing performances of building communities, which can in turn guide decision making in PV ownership and price setting for different households under the future climate change to facilitate real applications. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.

Place, publisher, year, edition, pages
Singapore: Springer Nature, 2023. Vol. Part F2770, p. 209-229
Series
Sustainable Development Goals Series, ISSN 2523-3084, E-ISSN 2523-3092 ; SDG: 11
Keywords [en]
Agent-based modeling; Building community; Energy sharing; Future climate change; Peer-to-Peer (P2P); Photovoltaics (PV)
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:du-49267DOI: 10.1007/978-981-99-1222-3_9Scopus ID: 2-s2.0-85194576218ISBN: 978-981-99-1221-6 (print)ISBN: 978-981-99-1222-3 (electronic)OAI: oai:DiVA.org:du-49267DiVA, id: diva2:1892297
Available from: 2024-08-26 Created: 2024-08-26 Last updated: 2024-08-26

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Huang, PeiZhang, Xingxing

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
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  • Other style
More styles
Language
  • de-DE
  • en-GB
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  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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