One of the biggest global issues at present involves the search for measures to conserve energy and to combat climate change.Because of an increase in natural disasters and energy use,architects and engineers have b...One of the biggest global issues at present involves the search for measures to conserve energy and to combat climate change.Because of an increase in natural disasters and energy use,architects and engineers have been focusing more on creating green buildings with low-carbon designs.Building information modeling(BIM)is used to record all of the data related to buildings from the early design stage.This information can be used to respond to energy simulation feedback and to accommodate changes that may be necessary during the design developments.To mitigate greenhouse gas emissions and to conserve energy in the buildings,the application of a BIM-based low-carbon design technique is required from the early design stage.However,the existing research is limited to sub-segmented topics;therefore,it is difficult for designers to establish a rank grade for a low-carbon design technique that is required for application in design planning.In this study,we attempt to analyze the rank grade and the correlation among design components that affect a building’s energy performance.We selected tower buildings for the experiment,as they consume a massive amount of energy and have a large impact on the surrounding environment.We analyzed the values that resulted from different shapes,scales,slenderness ratios,window-to-wall ratios,and solar orientations of the tower buildings.Then,we identified a correlation and rank grade among different design components.Architects can maximize energy performance efficiency by considering and applying the rank grade of a low-carbon design technique during design planning.In addition,the development of guidelines for green BIM would reduce confusion in the decision-making process and design modification during the stages of design development,which would then minimize the cost.Furthermore,it is expected that this study can be used to create a database for the realization of green buildings.展开更多
基金supported by the National Research Foundation of Korea(NRF)grant funded by the Korea government(MEST)(No.2013-065823)。
文摘One of the biggest global issues at present involves the search for measures to conserve energy and to combat climate change.Because of an increase in natural disasters and energy use,architects and engineers have been focusing more on creating green buildings with low-carbon designs.Building information modeling(BIM)is used to record all of the data related to buildings from the early design stage.This information can be used to respond to energy simulation feedback and to accommodate changes that may be necessary during the design developments.To mitigate greenhouse gas emissions and to conserve energy in the buildings,the application of a BIM-based low-carbon design technique is required from the early design stage.However,the existing research is limited to sub-segmented topics;therefore,it is difficult for designers to establish a rank grade for a low-carbon design technique that is required for application in design planning.In this study,we attempt to analyze the rank grade and the correlation among design components that affect a building’s energy performance.We selected tower buildings for the experiment,as they consume a massive amount of energy and have a large impact on the surrounding environment.We analyzed the values that resulted from different shapes,scales,slenderness ratios,window-to-wall ratios,and solar orientations of the tower buildings.Then,we identified a correlation and rank grade among different design components.Architects can maximize energy performance efficiency by considering and applying the rank grade of a low-carbon design technique during design planning.In addition,the development of guidelines for green BIM would reduce confusion in the decision-making process and design modification during the stages of design development,which would then minimize the cost.Furthermore,it is expected that this study can be used to create a database for the realization of green buildings.
