{"title":"建筑能耗优化理论模型的建立","authors":"E. Maleviti","doi":"10.4018/ijeoe.2012100101","DOIUrl":null,"url":null,"abstract":"This paper presents a theoretical model that could improve buildings’ energy performance. A sample of Greek hotels has been selected, and their energy performance is elaborated. The results from the use of the model Long Range Energy Alternative Planning are presented, providing the reduction in energy consumption. In addition, a set of interviews was conducted in the hoteliers in order to understand their views in implementing energy measures in their facilities. The results of both analyses are in detail elaborated, pointing out the significance in combining both type of information in order to improve buildings’ energy performance. As a concluding remark a theoretical model has been developed in order to show the necessity of considering both types of data for optimizing buildings’ energy performance.","PeriodicalId":246250,"journal":{"name":"Int. J. Energy Optim. Eng.","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"The Development of a Theoretical Model for Optimizing Energy Consumption in Buildings\",\"authors\":\"E. Maleviti\",\"doi\":\"10.4018/ijeoe.2012100101\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a theoretical model that could improve buildings’ energy performance. A sample of Greek hotels has been selected, and their energy performance is elaborated. The results from the use of the model Long Range Energy Alternative Planning are presented, providing the reduction in energy consumption. In addition, a set of interviews was conducted in the hoteliers in order to understand their views in implementing energy measures in their facilities. The results of both analyses are in detail elaborated, pointing out the significance in combining both type of information in order to improve buildings’ energy performance. As a concluding remark a theoretical model has been developed in order to show the necessity of considering both types of data for optimizing buildings’ energy performance.\",\"PeriodicalId\":246250,\"journal\":{\"name\":\"Int. J. Energy Optim. Eng.\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Int. J. Energy Optim. Eng.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4018/ijeoe.2012100101\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Energy Optim. Eng.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/ijeoe.2012100101","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Development of a Theoretical Model for Optimizing Energy Consumption in Buildings
This paper presents a theoretical model that could improve buildings’ energy performance. A sample of Greek hotels has been selected, and their energy performance is elaborated. The results from the use of the model Long Range Energy Alternative Planning are presented, providing the reduction in energy consumption. In addition, a set of interviews was conducted in the hoteliers in order to understand their views in implementing energy measures in their facilities. The results of both analyses are in detail elaborated, pointing out the significance in combining both type of information in order to improve buildings’ energy performance. As a concluding remark a theoretical model has been developed in order to show the necessity of considering both types of data for optimizing buildings’ energy performance.