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• W4311005796 abstract "Abstract Numerical optimization models are used to develop scenarios of the future energy system. Usually, they optimize the energy mix subject to engineering costs such as equipment and fuel. For onshore wind energy, some of these models use cost-potential curves that indicate how much electricity can be generated at what cost. These curves are upward sloping mainly because windy sites are occupied first and further expanding wind energy means deploying less favorable resources. Meanwhile, real-world wind energy expansion is curbed by local resistance, regulatory constraints, and legal challenges. This presumably reflects the perceived adverse effect that onshore wind energy has on the local human population, as well as other negative external effects. These disamenity costs are at the core of this paper. We provide a comprehensive and consistent set of cost-potential curves of wind energy for all European countries that include disamenity costs, and which can be used in energy system modeling. We combine existing valuation of disamenity costs from the literature that describe the costs as a function of the distance between turbine and households with gridded population data, granular geospatial data of wind speeds, and additional land-use constraints to calculate such curves. We find that disamenity costs are not a game changer: for most countries and assumptions, the marginal levelized cost of onshore wind energy increase by 0.2–12.5 €/MWh." @default.
• W4311005796 created "2022-12-22" @default.
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• W4311005796 date "2022-11-30" @default.
• W4311005796 modified "2023-09-30" @default.
• W4311005796 title "Cost-Potential Curves of Onshore Wind Energy: the Role of Disamenity Costs" @default.
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• W4311005796 doi "https://doi.org/10.1007/s10640-022-00746-2" @default.
• W4311005796 hasPublicationYear "2022" @default.
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