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Spatial strategies for siting variable renewable energy sources to ensure weather resilience in Switzerland

Authors: Giacomo Rubino; Collin Killenberger; Jan-Philipp Sasse; Zongfei Wang; Xin Wen; Nik Zielonka; Evelina Trutnevyte;

Spatial strategies for siting variable renewable energy sources to ensure weather resilience in Switzerland

Abstract

Weather resilience of the electricity system with high shares of Variable Renewable Energy Sources (VRES) could potentially be increased by spatially siting these sources in a way that dims the impact of weather. Here, we use single-year high-resolution modeling to test the resilience of the Swiss electricity system in 2035 under four siting strategies for new solar PV, wind power plants, and heat pumps: expected siting (continuation of the current spatial trends), even siting that is proportional to the technical potential or population, and the minimum system cost approach from the system's perspective. Using weather data from 1995 to 2019, we calculate nine electricity system resilience indicators for each siting strategy, accounting for diversification, decentralization, import dependency, load shedding, and curtailment. We find that a Swiss system in 2035 running fully or almost fully on VRES is resilient to historical weather variations. The four siting strategies perform relatively similarly in terms of resilience, indicating that VRES locations are neither a major concern nor a promising solution to influence weather resilience in a small country, like Switzerland. Having said that, minimum system cost approach that sites technologies in a cost-optimal way from the system's perspective has consistent, albeit minor, advantages for resilience, especially for minimizing load shedding and curtailment.

Country
Switzerland
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Keywords

info:eu-repo/classification/ddc/333.7-333.9, info:eu-repo/classification/ddc/550, Weather variability, Resilience, Siting renewable generation, Variable renewable energy sources, Spatial modeling

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citations
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!
0
Average
Average
Average
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