Jinwei Li, Xiaoling Cao, Peixian Zuo, Yanping Yuan, Tao Yu
{"title":"考虑气候变化的极端天气对中国高铁站冷热负荷的影响估算","authors":"Jinwei Li, Xiaoling Cao, Peixian Zuo, Yanping Yuan, Tao Yu","doi":"10.1016/j.esd.2025.101735","DOIUrl":null,"url":null,"abstract":"<div><div>Global warming has intensified extreme weather events, significantly impacting the design and operation of building energy systems. In China, such extreme weather presents substantial challenges to the performance of building energy systems, particularly for rapidly developing public buildings like high-speed railway stations (HSRS). The heating and cooling systems in HSRS buildings have faced increasing strain due to these extreme weather events. This study proposes a novel method for generating extreme meteorological years (XMY). It examines the impact of climate change on XMY generation using ECMWF Reanalysis v5 (ERA5) meteorological reanalysis data. The influence of XMY on the cooling and heating loads of three typical HSRS buildings in China is also assessed. The results indicate that climate change has led to a continuous increase in the average annual temperature of XMY. The XMY derived from distant historical weather data no longer accurately reflects the impacts of climate change. Specifically, compared to typical meteorological years (TMY), the effects of XMY on peak load in the three typical HSRS range from −20 % to 20 %, with extreme high weather increasing peak cooling load by approximately 10.00 %. The effect of extreme weather on the annual total load of most HSRS ranges from −13.00 % to 14.00 %, with extreme high weather causing a maximum increase of 9.00 % in the yearly total load. Therefore, the impact of XMY should be considered in the design of the HSRS energy system, and the system capacity should be appropriately increased.</div></div>","PeriodicalId":49209,"journal":{"name":"Energy for Sustainable Development","volume":"87 ","pages":"Article 101735"},"PeriodicalIF":4.4000,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Estimates of the impact of extreme weather considering climate change on the cooling/heating load of high-speed railway station in China\",\"authors\":\"Jinwei Li, Xiaoling Cao, Peixian Zuo, Yanping Yuan, Tao Yu\",\"doi\":\"10.1016/j.esd.2025.101735\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Global warming has intensified extreme weather events, significantly impacting the design and operation of building energy systems. In China, such extreme weather presents substantial challenges to the performance of building energy systems, particularly for rapidly developing public buildings like high-speed railway stations (HSRS). The heating and cooling systems in HSRS buildings have faced increasing strain due to these extreme weather events. This study proposes a novel method for generating extreme meteorological years (XMY). It examines the impact of climate change on XMY generation using ECMWF Reanalysis v5 (ERA5) meteorological reanalysis data. The influence of XMY on the cooling and heating loads of three typical HSRS buildings in China is also assessed. The results indicate that climate change has led to a continuous increase in the average annual temperature of XMY. The XMY derived from distant historical weather data no longer accurately reflects the impacts of climate change. Specifically, compared to typical meteorological years (TMY), the effects of XMY on peak load in the three typical HSRS range from −20 % to 20 %, with extreme high weather increasing peak cooling load by approximately 10.00 %. The effect of extreme weather on the annual total load of most HSRS ranges from −13.00 % to 14.00 %, with extreme high weather causing a maximum increase of 9.00 % in the yearly total load. Therefore, the impact of XMY should be considered in the design of the HSRS energy system, and the system capacity should be appropriately increased.</div></div>\",\"PeriodicalId\":49209,\"journal\":{\"name\":\"Energy for Sustainable Development\",\"volume\":\"87 \",\"pages\":\"Article 101735\"},\"PeriodicalIF\":4.4000,\"publicationDate\":\"2025-04-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Energy for Sustainable Development\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0973082625000857\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy for Sustainable Development","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0973082625000857","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
Estimates of the impact of extreme weather considering climate change on the cooling/heating load of high-speed railway station in China
Global warming has intensified extreme weather events, significantly impacting the design and operation of building energy systems. In China, such extreme weather presents substantial challenges to the performance of building energy systems, particularly for rapidly developing public buildings like high-speed railway stations (HSRS). The heating and cooling systems in HSRS buildings have faced increasing strain due to these extreme weather events. This study proposes a novel method for generating extreme meteorological years (XMY). It examines the impact of climate change on XMY generation using ECMWF Reanalysis v5 (ERA5) meteorological reanalysis data. The influence of XMY on the cooling and heating loads of three typical HSRS buildings in China is also assessed. The results indicate that climate change has led to a continuous increase in the average annual temperature of XMY. The XMY derived from distant historical weather data no longer accurately reflects the impacts of climate change. Specifically, compared to typical meteorological years (TMY), the effects of XMY on peak load in the three typical HSRS range from −20 % to 20 %, with extreme high weather increasing peak cooling load by approximately 10.00 %. The effect of extreme weather on the annual total load of most HSRS ranges from −13.00 % to 14.00 %, with extreme high weather causing a maximum increase of 9.00 % in the yearly total load. Therefore, the impact of XMY should be considered in the design of the HSRS energy system, and the system capacity should be appropriately increased.
期刊介绍:
Published on behalf of the International Energy Initiative, Energy for Sustainable Development is the journal for decision makers, managers, consultants, policy makers, planners and researchers in both government and non-government organizations. It publishes original research and reviews about energy in developing countries, sustainable development, energy resources, technologies, policies and interactions.