Journal
ENVIRONMENTAL RESEARCH LETTERS
Volume 18, Issue 6, Pages -Publisher
IOP Publishing Ltd
DOI: 10.1088/1748-9326/acd8d7
Keywords
hot-dry conditions; Switzerland; hydropower; machine learning; probabilistic response
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Hydropower is an important renewable energy source that can complement solar and wind power in achieving a low-carbon power system. However, its production is dependent on local weather conditions and climate variability. A study in Switzerland, where hydropower provides the largest share of electricity production, found that the impacts of hot-dry conditions on hydropower are case-specific.
Hydropower plays a significant role in the transition towards a low-carbon power system, being a renewable energy source that can complement solar and wind power, which are highly intermittent. However, hydropower is itself dependent on local weather conditions and climate variability. Moreover, extreme climate conditions, such as hot-dry compound events, can have a major impact on hydropower production (HP). Here, we examine the impacts of hot-dry conditions on HP under current and future climate scenarios in Switzerland, a country where hydropower provides the biggest share (60%) of the total electricity production. Overall, our results point out that the impacts of hot-dry conditions on HP are case-specific. We found that hot-dry compound conditions during the warmer months negatively impact HP in power plants with little or no water storage capacity (run-of-river schemes). On the contrary, schemes with large, seasonal accumulation lakes and significant glacier resources will continue to be able to produce high amounts of HP during hot-dry conditions in summer, which is an important result for Alpine hydropower.
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