Susana Martin, V. Serna, S. Álvarez, Miguel A. Garcia, G. Hernández, Á. Sicilia, Gonçal Costa
{"title":"OptEEmAL: IT-Supported design tool for the generation of optimised energy retrofitting scenarios at district level","authors":"Susana Martin, V. Serna, S. Álvarez, Miguel A. Garcia, G. Hernández, Á. Sicilia, Gonçal Costa","doi":"10.35490/EC3.2019.169","DOIUrl":null,"url":null,"abstract":"The EU strategies to reduce the carbon emissions highlight the importance of renovating the existing building stock as one of the major contributing sectors to these undesired emissions to the atmosphere. The existing practices to design energy efficient retrofitting projects are still too time consuming, unprecise and provoke, therefore, a lack of trust within the sector; especially to investors. There is a need to improve these practices through reducing the errors and the time required to evaluate retrofitting alternatives in order to select those most appropriate according to the stakeholders’ priorities. In order to give an answer to this challenge, the EU funded project OptEEmAL has designed and deployed an integrated platform that delivers automatically some of the steps that belong to this process reducing thus time, errors and therefore costs, which will lead to increasing efficiency and creating confidence among the stakeholders.","PeriodicalId":126601,"journal":{"name":"Proceedings of the 2019 European Conference on Computing in Construction","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2019 European Conference on Computing in Construction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35490/EC3.2019.169","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
The EU strategies to reduce the carbon emissions highlight the importance of renovating the existing building stock as one of the major contributing sectors to these undesired emissions to the atmosphere. The existing practices to design energy efficient retrofitting projects are still too time consuming, unprecise and provoke, therefore, a lack of trust within the sector; especially to investors. There is a need to improve these practices through reducing the errors and the time required to evaluate retrofitting alternatives in order to select those most appropriate according to the stakeholders’ priorities. In order to give an answer to this challenge, the EU funded project OptEEmAL has designed and deployed an integrated platform that delivers automatically some of the steps that belong to this process reducing thus time, errors and therefore costs, which will lead to increasing efficiency and creating confidence among the stakeholders.