Building Energy-saving Automatic Design System Based On BIM And Grey Taguchi Method

Along with the rapid development of China's economy and the continuous improvement of people's living standards,Chinese residents' requirements for indoor environment comfort are also increasing,which results in building energy consumption increasing and makes the energy-saving issues become particularly important.Building energy-saving design should be the first and most critical step in building energy-saving practice,as along with the energy-saving design processing,the available space for energysaving becomes smaller,thereby the same energy-saving benefit costs higher.Building energysaving design is a complex and labor-intensive process,designers need to deal with multiobjective and multi-factor optimization issues to minimize capital and operating costs while maintaining user comfort.Such complexity caused by a large number of involving interrelated sustainable design parameters,which leads to hot and difficult research topics of determining key affecting factors of building energy-saving,as well as the method of choosing the best design scheme from many influential building energy-saving schemes.This research focuses on the factors that influence building energy-saving design,and deal with the design scheme that lack of reliable decision support,and other problems.After reviewing and summarizing relevant literature and domestic design standards,the author concludes six key factors that affecting total energy consumption,daylighting coefficient and relative building cost: building orientation,window to wall ratio,window glass material,roofing material,exterior wall material,and outer window opening ratio.Besides,this research introduced grey Taguchi method into building energy-saving design in BIM software.Based on grey Taguchi method and the second development of Revit,an automatic design system of building energy-saving is established.Then,based on Taguchi method,the orthogonal table is designed and used to arrange experiments,and respectively uses Green Building Studio and Ecotect to analyze total energy consumption,daylighting coefficient and relative building cost.Moreover,performing factor analysis on the obtained result to determined the key factors of each target and the optimal parameter combination,utilizing variance analysis to determine the specific influence of six control factors on each target and the overall grey correlation degree,and determining the overall optimal parameter combination of the building energysaving design scheme through grey correlation analysis.Further more,according to the obtained optimal parameter combination of the building energy-saving design scheme,the system would automatically update and replace the current design scheme by optimal scheme to achieve an automated,visualized building energy-saving design.Finally,by using Response Surface Methodology,the specific functional relationships between building orientation,exterior window opening ratio and total building energy consumption,daylighting coefficient and building relative cost is determined,which thereby optimizes the values of three targets.In this research,the grey Taguchi method is introduced to building energy-saving design,through Taguchi experimental design method,key factors that affecting total energy consumption,daylighting coefficient and building relative cost are determined.The grey correlation analysis is used to determine the best parameter combination of the building energy-saving design scheme.Besides,this research takes a hospital as an example to validate the effectiveness of the system,which verified this research has certain guidance for building energy-saving design.