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Integration Costs and the Value of Wind Power

Authors: Lion Hirth; Falko Ueckerdt; Ottmar Edenhofer;

Integration Costs and the Value of Wind Power

Abstract

The integration of wind and solar generators into power systems cause “integration costs” for grids, balancing services, reserve capacity, reduced utilization of the capital stock, and more flexible operation of thermal plants. This paper proposes a market-based valuation framework to analyze and estimate these inte-gration costs. The framework exhaustively accounts for all costs that occur at the level of the power system. It is based on three inherent properties of wind and solar power: variability, uncertainty, and location specificity. Each property has a corresponding cost that can be estimated from numerical models or from observed market data. Surveying the literature indicates that at high penetration rates, say a wind market share of 30%, integra-tion costs can be in the same order of magnitude as wind generation costs. Many previous studies do not fully account for integration costs, underestimating the social costs of variable renewables.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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