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- W4385959319 abstract "The profitability of the household photovoltaic (PV) self-consumption is expected to boost the deployment of PV and battery storage systems. This paper develops a novel method for economic analysis of PV self-consumption using battery storage based on an extension of the Screening Curve Method (SCM). The SCM enables quick and intuitive estimation of the least-cost generation mix for a target load curve and has been used for generation planning of a bulk power system. In this paper, we generalize the framework of existing SCM to take into account the intermittent nature of renewable energy sources and apply it to the problem of optimal sizing of PV and battery storage systems for a household. Numerical studies are provided to verify the estimation accuracy of the proposed SCM and to illustrate its effectiveness in a sensitivity analysis owing to the ability to show intuitive plots of cost curves for researchers or policy makers to understand the reasons behind the optimization results." @default.
- W4385959319 created "2023-08-18" @default.
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- W4385959319 date "2023-07-31" @default.
- W4385959319 modified "2023-09-23" @default.
- W4385959319 title "Screening Curve Method for Economic Analysis of Photovoltaic Self-Consumption" @default.
- W4385959319 doi "https://doi.org/10.48550/arxiv.2308.00244" @default.
- W4385959319 hasPublicationYear "2023" @default.
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