{"title":"Weather-induced power plant outages: Empirical evidence from hydro and thermal generators in Europe","authors":"Alberto Sergio , Francesco Pietro Colelli","doi":"10.1016/j.eneco.2025.108549","DOIUrl":null,"url":null,"abstract":"<div><div>This paper investigates how extreme weather conditions affect power generators across Europe, with a focus on the differing vulnerabilities and adaptive responses of hydropower and thermal plants. Using a granular panel dataset of daily power plant outages and local weather conditions (2017–2023), we assess the influence of extreme temperatures, floods, and droughts on outage risks. We distinguish between forced and planned outages to identify how operators anticipate or react to weather-related stress. Our findings show that extreme weather events raise outage risks across multiple technologies, though their responses vary. Sudden shocks, such as unexpected temperature extremes, are more likely to trigger unplanned operational failures, while planned outages tend to align with longer-term maintenance cycles rather than immediate environmental pressures. These results highlight the need for climate-resilient strategies to protect energy systems from growing weather variability.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"148 ","pages":"Article 108549"},"PeriodicalIF":13.6000,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy Economics","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0140988325003731","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
This paper investigates how extreme weather conditions affect power generators across Europe, with a focus on the differing vulnerabilities and adaptive responses of hydropower and thermal plants. Using a granular panel dataset of daily power plant outages and local weather conditions (2017–2023), we assess the influence of extreme temperatures, floods, and droughts on outage risks. We distinguish between forced and planned outages to identify how operators anticipate or react to weather-related stress. Our findings show that extreme weather events raise outage risks across multiple technologies, though their responses vary. Sudden shocks, such as unexpected temperature extremes, are more likely to trigger unplanned operational failures, while planned outages tend to align with longer-term maintenance cycles rather than immediate environmental pressures. These results highlight the need for climate-resilient strategies to protect energy systems from growing weather variability.
期刊介绍:
Energy Economics is a field journal that focuses on energy economics and energy finance. It covers various themes including the exploitation, conversion, and use of energy, markets for energy commodities and derivatives, regulation and taxation, forecasting, environment and climate, international trade, development, and monetary policy. The journal welcomes contributions that utilize diverse methods such as experiments, surveys, econometrics, decomposition, simulation models, equilibrium models, optimization models, and analytical models. It publishes a combination of papers employing different methods to explore a wide range of topics. The journal's replication policy encourages the submission of replication studies, wherein researchers reproduce and extend the key results of original studies while explaining any differences. Energy Economics is indexed and abstracted in several databases including Environmental Abstracts, Fuel and Energy Abstracts, Social Sciences Citation Index, GEOBASE, Social & Behavioral Sciences, Journal of Economic Literature, INSPEC, and more.