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- W3199759322 abstract "The integration of distributed energy resources and the transition to smart cities are shifting the urban energy sector to a decentralized operating system. Blockchain-based microgrids, where small-scale operators trade electricity among each others, have gained remarkable attention recently. However, most of the proposed schemes study smart grids in prosperous cities. In this study, the performance of a solar-based power trading scheme is investigated in a shortage-prone context, Beirut City. Thus, we resort to a game-theoretic approach to model power trading as a repeated game between buildings at the urban scale. Results show that solar energy can cover up to 25% of the city electricity needs, depending on the rooftops area coverage. On the other hand, we found that deploying a peer-to-peer trading scheme has marginal impact since the energy demand in the city exceeds the supply and most buildings would prioritize self-consumption." @default.
- W3199759322 created "2021-09-27" @default.
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- W3199759322 date "2021-09-13" @default.
- W3199759322 modified "2023-10-16" @default.
- W3199759322 title "A game-theoretic approach to assess peer-to-peer rooftop solar PV electricity trading under constrained power supply" @default.
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- W3199759322 doi "https://doi.org/10.1007/s12667-021-00483-3" @default.
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