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A sharing economy for residential communities with PV-coupled battery storage: Benefits, pricing and participant matching

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  • Henni, Sarah
  • Staudt, Philipp
  • Weinhardt, Christof

Abstract

The transition of the energy sector towards more decentral, renewable and digital structures and a higher involvement of local residents as prosumers calls for innovative business models. In this paper, we investigate a sharing economy model that enables a residential community to share solar generation and storage capacity. We simulate 520 sharing communities of five households each with differing load profile configurations and find that they achieve average annual savings of 615€ as compared to individual operation. Using the gathered data on electricity consumption in a sharing community, we discuss a fixed pricing approach to achieve a fair distribution of the profits generated through the sharing economy. We further investigate the impact of prosumers’ and consumers’ load profile patterns on the profitability of the sharing communities. Based on these findings, we explore the potential to match and coordinate suitable communities through a platform-based sharing economy model. Our results enable practitioners to find optimal additions to an energy sharing community and provide new insights for researchers regarding possible pricing schemes in energy communities.

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  • Henni, Sarah & Staudt, Philipp & Weinhardt, Christof, 2021. "A sharing economy for residential communities with PV-coupled battery storage: Benefits, pricing and participant matching," Applied Energy, Elsevier, vol. 301(C).
    • Handle: RePEc:eee:appene:v:301:y:2021:i:c:s0306261921007583
    DOI: 10.1016/j.apenergy.2021.117351
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    2. Carson Duan, 2023. "A State-of-the-Art Review of Sharing Economy Business Models and a Forecast of Future Research Directions for Sustainable Development: A Bibliometric Analysis Approach," Sustainability, MDPI, vol. 15(5), pages 1-37, March.
    3. Fang, Xichen & Guo, Hongye & Zhang, Xian & Wang, Xuanyuan & Chen, Qixin, 2022. "An efficient and incentive-compatible market design for energy storage participation," Applied Energy, Elsevier, vol. 311(C).
    4. Soheil Mohseni & Jay Rutovitz & Heather Smith & Scott Dwyer & Farzan Tahir, 2023. "Economic Viability Assessment of Neighbourhood versus Residential Batteries: Insights from an Australian Case Study," Sustainability, MDPI, vol. 15(23), pages 1-27, November.
    5. Cai, Qiran & Qing, Jing & Xu, Qingyang & Shi, Gang & Liang, Qiao-Mei, 2024. "Techno-economic impact of electricity price mechanism and demand response on residential rooftop photovoltaic integration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
    6. Joel Alpízar-Castillo & Laura Ramirez-Elizondo & Pavol Bauer, 2022. "Assessing the Role of Energy Storage in Multiple Energy Carriers toward Providing Ancillary Services: A Review," Energies, MDPI, vol. 16(1), pages 1-31, December.
    7. Nima Narjabadifam & Javanshir Fouladvand & Mustafa Gül, 2023. "Critical Review on Community-Shared Solar—Advantages, Challenges, and Future Directions," Energies, MDPI, vol. 16(8), pages 1-25, April.
    8. Kerscher, Selina & Koirala, Arpan & Arboleya, Pablo, 2024. "Grid-optimal energy community planning from a systems perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).
    9. Zhang, Wen-Yi & Chen, Yue & Wang, Yi & Xu, Yunjian, 2023. "Equilibrium analysis of a peer-to-peer energy trading market with shared energy storage in a power transmission grid," Energy, Elsevier, vol. 274(C).
    10. vom Scheidt, Frederik & Staudt, Philipp, 2024. "A data-driven Recommendation Tool for Sustainable Utility Service Bundles," Applied Energy, Elsevier, vol. 353(PB).
    11. Sohani, Ali & Cornaro, Cristina & Shahverdian, Mohammad Hassan & Moser, David & Pierro, Marco & Olabi, Abdul Ghani & Karimi, Nader & Nižetić, Sandro & Li, Larry K.B. & Doranehgard, Mohammad Hossein, 2023. "Techno-economic evaluation of a hybrid photovoltaic system with hot/cold water storage for poly-generation in a residential building," Applied Energy, Elsevier, vol. 331(C).
    12. Kang, Hyuna & Jung, Seunghoon & Kim, Hakpyeong & Hong, Juwon & Jeoung, Jaewon & Hong, Taehoon, 2023. "Multi-objective sizing and real-time scheduling of battery energy storage in energy-sharing community based on reinforcement learning," Renewable and Sustainable Energy Reviews, Elsevier, vol. 185(C).
    13. Bian, Yifan & Xie, Lirong & Ye, Jiahao & Ma, Lan, 2024. "A new shared energy storage business model for data center clusters considering energy storage degradation," Renewable Energy, Elsevier, vol. 225(C).
    14. Yingyue Li & Hongjun Li & Rui Miao & He Qi & Yi Zhang, 2023. "Energy–Environment–Economy (3E) Analysis of the Performance of Introducing Photovoltaic and Energy Storage Systems into Residential Buildings: A Case Study in Shenzhen, China," Sustainability, MDPI, vol. 15(11), pages 1-25, June.

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