Gaëlle Faure, T. Christiaanse, R. Evins, Gaby M. Baasch
{"title":"BESOS","authors":"Gaëlle Faure, T. Christiaanse, R. Evins, Gaby M. Baasch","doi":"10.1145/3360322.3360995","DOIUrl":null,"url":null,"abstract":"Numerous software modelling tools and design techniques exist to answer questions related to optimal or exploration of building and energy system design. Current research requires that these tools and techniques are combined, leading to the energy- and time-consuming task of linking them. Our demo presents BESOS, a platform designed to facilitate the interaction of several commonly-used tools to analyze and design building and energy systems. This platform is cloud-based and open-source, making it widely available for the research community. Attendees will be able to run and modify two test example applications during the demo, the first one focusing on constructing a surrogate model that predicts building energy demand, the second, optimally designing an energy system for a remote community.","PeriodicalId":128826,"journal":{"name":"Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3360322.3360995","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
Numerous software modelling tools and design techniques exist to answer questions related to optimal or exploration of building and energy system design. Current research requires that these tools and techniques are combined, leading to the energy- and time-consuming task of linking them. Our demo presents BESOS, a platform designed to facilitate the interaction of several commonly-used tools to analyze and design building and energy systems. This platform is cloud-based and open-source, making it widely available for the research community. Attendees will be able to run and modify two test example applications during the demo, the first one focusing on constructing a surrogate model that predicts building energy demand, the second, optimally designing an energy system for a remote community.