Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Building information modeling based building design optimization for sustainability
Highlights We introduce BIM into building design methods. We combine BIM and PSO together to get optimal design by their interaction. Efficiency and effectiveness of the design method are largely improved. Searching space of designs is enlarged by this proposed model.
Abstract Environmental problems, especially climate change, have become a serious global issue waiting for people to solve. In the construction industry, the concept of sustainable building is developing to reduce greenhouse gas emissions. In this study, a building information modeling (BIM) based building design optimization method is proposed to facilitate designers to optimize their designs and improve buildings’ sustainability. A revised particle swarm optimization (PSO) algorithm is applied to search for the trade-off between life cycle costs (LCC) and life cycle carbon emissions (LCCE) of building designs. In order to validate the effectiveness and efficiency of this method, a case study of an office building is conducted in Hong Kong. The result of the case study shows that this method can enlarge the searching space for optimal design solutions and shorten the processing time for optimal design results, which is really helpful for designers to deliver an economic and environmental-friendly design scheme.
Building information modeling based building design optimization for sustainability
Highlights We introduce BIM into building design methods. We combine BIM and PSO together to get optimal design by their interaction. Efficiency and effectiveness of the design method are largely improved. Searching space of designs is enlarged by this proposed model.
Abstract Environmental problems, especially climate change, have become a serious global issue waiting for people to solve. In the construction industry, the concept of sustainable building is developing to reduce greenhouse gas emissions. In this study, a building information modeling (BIM) based building design optimization method is proposed to facilitate designers to optimize their designs and improve buildings’ sustainability. A revised particle swarm optimization (PSO) algorithm is applied to search for the trade-off between life cycle costs (LCC) and life cycle carbon emissions (LCCE) of building designs. In order to validate the effectiveness and efficiency of this method, a case study of an office building is conducted in Hong Kong. The result of the case study shows that this method can enlarge the searching space for optimal design solutions and shorten the processing time for optimal design results, which is really helpful for designers to deliver an economic and environmental-friendly design scheme.
Building information modeling based building design optimization for sustainability
Liu, Sha (Autor:in) / Meng, Xianhai (Autor:in) / Tam, Chiming (Autor:in)
Energy and Buildings ; 105 ; 139-153
14.06.2015
15 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
BIM , building information modeling , PSO , particle swarm optimization , LCC , life cycle cost , LCCE , life cycle carbon emission , HVAC , heating ventilating and air conditioning , DF , daylight factor , DA , daylight autonomy , COP , coefficient of performance , AED , annual energy demand , CEF , carbon emission factor , WBS , work breakdown structure , Sustainable building , Building performance
Building information modeling based building design optimization for sustainability
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