Please use this identifier to cite or link to this item: https://doi.org/10.1155/2021/6638897
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dc.titleDigital-Twin-Based Evaluation of Nearly Zero-Energy Building for Existing Buildings Based on Scan-to-BIM
dc.contributor.authorZhao, Liang
dc.contributor.authorZhang, Hong
dc.contributor.authorWang, Qian
dc.contributor.authorWang, Haining
dc.date.accessioned2022-10-26T09:16:17Z
dc.date.available2022-10-26T09:16:17Z
dc.date.issued2021-04-09
dc.identifier.citationZhao, Liang, Zhang, Hong, Wang, Qian, Wang, Haining (2021-04-09). Digital-Twin-Based Evaluation of Nearly Zero-Energy Building for Existing Buildings Based on Scan-to-BIM. Advances in Civil Engineering 2021 : 6638897. ScholarBank@NUS Repository. https://doi.org/10.1155/2021/6638897
dc.identifier.issn1687-8086
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/233789
dc.description.abstractIn recent years, the global energy environment has become increasingly severe, and the problems such as global warming, soaring carbon emissions, and excessive use of petrochemical energy have attracted increasing attention from all walks of life. The construction industry, which accounts for about 30% of the total energy consumption, needs to effectively manage and use renewable energy. The application of building information model (BIM) in the evaluation of retrofitting schemes of existing buildings is one of the main research issues in the field of building digital twins at present. The method of this research is to use 3D laser scanning technology to efficiently create the building energy model (BEM) of existing buildings and to identify and evaluate the feasibility of existing building retrofitting schemes. The purpose of this research is to evaluate the retrofitting scheme of existing buildings based on the concept of nearly zero-energy buildings (nZEBs), aiming to improve the energy efficiency of existing buildings and use clean energy to satisfy building energy demand. According to the case study in this paper, an nZEBs solution suitable for the building can reduce building energy costs by 14.1%, increase solar photovoltaic power generation by 24.13%, and reduce carbon dioxide emissions by 4306.0 kg CO2eq/a. © 2021 Liang Zhao et al.
dc.publisherHindawi Limited
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceScopus OA2021
dc.typeArticle
dc.contributor.departmentBUILDING
dc.description.doi10.1155/2021/6638897
dc.description.sourcetitleAdvances in Civil Engineering
dc.description.volume2021
dc.description.page6638897
dc.published.statePublished
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