{"title":"实际应用","authors":"","doi":"10.1177/01436244231194281","DOIUrl":null,"url":null,"abstract":"The thermal comfort prediction model assesses indoor climate, which has a signi fi cant impact on building energy consumption and thus its sustainability. The use of a good prediction model is critical to the success of building design. This paper develops a thermal comfort prediction model that can not only accurately predict thermal comfort of building occupant but also be used to design sustainable buildings.","PeriodicalId":272488,"journal":{"name":"Building Services Engineering Research and Technology","volume":"164 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Practical applications\",\"authors\":\"\",\"doi\":\"10.1177/01436244231194281\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The thermal comfort prediction model assesses indoor climate, which has a signi fi cant impact on building energy consumption and thus its sustainability. The use of a good prediction model is critical to the success of building design. This paper develops a thermal comfort prediction model that can not only accurately predict thermal comfort of building occupant but also be used to design sustainable buildings.\",\"PeriodicalId\":272488,\"journal\":{\"name\":\"Building Services Engineering Research and Technology\",\"volume\":\"164 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-08-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Building Services Engineering Research and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/01436244231194281\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Building Services Engineering Research and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/01436244231194281","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The thermal comfort prediction model assesses indoor climate, which has a signi fi cant impact on building energy consumption and thus its sustainability. The use of a good prediction model is critical to the success of building design. This paper develops a thermal comfort prediction model that can not only accurately predict thermal comfort of building occupant but also be used to design sustainable buildings.