{"title":"美国太阳能发电的飓风风险","authors":"L. Ceferino, N. Lin","doi":"10.1061/nhrefo.nheng-1764","DOIUrl":null,"url":null,"abstract":"Projections indicate that solar energy will constitute 55% of total electricity capacity by 2050 in the US. Despite solar energy’s growing importance, few studies have analyzed the risks of country-wide deployments of solar infrastructure due to extreme weather events such as hurricanes. This paper presents a probabilistic framework to evaluate the performance of solar infrastructure to generate energy during hurricanes, which often cause significant outages in the US. Our novel framework integrates recent data-driven models that capture two critical and compounding factors: transient cloud conditions that decrease irradiance and high winds that can cause permanent panel damage. We apply the framework to the 2694 counties in the 38 Central and Eastern US states to elucidate the risk landscape of solar generation during hurricanes. Our results show that hurricane impacts are significant, compounding, and strikingly disproportional in the US. We show that in Florida and Louisiana, clouds rapidly reduce solar generation to 32% and 65%, respectively, of their normal levels with a return period of 100 years. Our results also show that damage to panels can induce more acute and permanent energy losses a few days after landfall, especially in rarer storms, e.g., causing 80% more losses than hurricane clouds two days after landfall for 200-year events. Synopsis: A new methodology to model solar generation during hurricanes shows substantial regional variability in the environmental risk landscape of solar infrastructure in the US.","PeriodicalId":51262,"journal":{"name":"Natural Hazards Review","volume":"1 1","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Hurricane Risk of Solar Generation in the United States\",\"authors\":\"L. Ceferino, N. Lin\",\"doi\":\"10.1061/nhrefo.nheng-1764\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Projections indicate that solar energy will constitute 55% of total electricity capacity by 2050 in the US. Despite solar energy’s growing importance, few studies have analyzed the risks of country-wide deployments of solar infrastructure due to extreme weather events such as hurricanes. This paper presents a probabilistic framework to evaluate the performance of solar infrastructure to generate energy during hurricanes, which often cause significant outages in the US. Our novel framework integrates recent data-driven models that capture two critical and compounding factors: transient cloud conditions that decrease irradiance and high winds that can cause permanent panel damage. We apply the framework to the 2694 counties in the 38 Central and Eastern US states to elucidate the risk landscape of solar generation during hurricanes. Our results show that hurricane impacts are significant, compounding, and strikingly disproportional in the US. We show that in Florida and Louisiana, clouds rapidly reduce solar generation to 32% and 65%, respectively, of their normal levels with a return period of 100 years. Our results also show that damage to panels can induce more acute and permanent energy losses a few days after landfall, especially in rarer storms, e.g., causing 80% more losses than hurricane clouds two days after landfall for 200-year events. Synopsis: A new methodology to model solar generation during hurricanes shows substantial regional variability in the environmental risk landscape of solar infrastructure in the US.\",\"PeriodicalId\":51262,\"journal\":{\"name\":\"Natural Hazards Review\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Natural Hazards Review\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1061/nhrefo.nheng-1764\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, CIVIL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Natural Hazards Review","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1061/nhrefo.nheng-1764","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
Hurricane Risk of Solar Generation in the United States
Projections indicate that solar energy will constitute 55% of total electricity capacity by 2050 in the US. Despite solar energy’s growing importance, few studies have analyzed the risks of country-wide deployments of solar infrastructure due to extreme weather events such as hurricanes. This paper presents a probabilistic framework to evaluate the performance of solar infrastructure to generate energy during hurricanes, which often cause significant outages in the US. Our novel framework integrates recent data-driven models that capture two critical and compounding factors: transient cloud conditions that decrease irradiance and high winds that can cause permanent panel damage. We apply the framework to the 2694 counties in the 38 Central and Eastern US states to elucidate the risk landscape of solar generation during hurricanes. Our results show that hurricane impacts are significant, compounding, and strikingly disproportional in the US. We show that in Florida and Louisiana, clouds rapidly reduce solar generation to 32% and 65%, respectively, of their normal levels with a return period of 100 years. Our results also show that damage to panels can induce more acute and permanent energy losses a few days after landfall, especially in rarer storms, e.g., causing 80% more losses than hurricane clouds two days after landfall for 200-year events. Synopsis: A new methodology to model solar generation during hurricanes shows substantial regional variability in the environmental risk landscape of solar infrastructure in the US.
期刊介绍:
The Natural Hazards Review addresses the range of events, processes, and consequences that occur when natural hazards interact with the physical, social, economic, and engineered dimensions of communities and the people who live, work, and play in them. As these conditions interact and change, the impact on human communities increases in size, scale, and scope. Such interactions necessarily need to be analyzed from an interdisciplinary perspective that includes both social and technical measures. For decision makers, the risk presents the challenge of managing known hazards, but unknown consequences in time of occurrence, scale of impact, and level of disruption in actual communities with limited resources. The journal is dedicated to bringing together the physical, social, and behavioral sciences; engineering; and the regulatory and policy environments to provide a forum for cutting edge, holistic, and cross-disciplinary approaches to anticipating risk, loss, and cost reduction from natural hazards. The journal welcomes rigorous research on the intersection between social and technical systems that advances concepts of resilience within lifeline and infrastructure systems and the organizations that manage them for all hazards. It offers a professional forum for researchers and practitioners working together to publish the results of truly interdisciplinary and partnered approaches to the anticipation of risk, loss reduction, and community resilience. Engineering topics covered include the characterization of hazard forces and the planning, design, construction, maintenance, performance, and use of structures in the physical environment. Social and behavioral sciences topics include analysis of the impact of hazards on communities and the organizations that seek to mitigate and manage response to hazards.