Building design parameters have an important impacton energy consumption and cost during building operation,and the severe and long winter in Xinjiang makes thebuilding energy consumption and operation cost in this region higher than other regions.Therefore,in this paper,using the deviation maximization method combined with orthogonal experimental design,the impacts of eight design parameters,including court area ratio,skylight area ratio,window-to-wall ratio of different elevations,thickness of perimeter insulation,and type of external windows,on building energy consumption and global cost are examined under typical urban meteorological conditions in four thermal subregions of Xinjiang as an example of a teaching building.The optimal building design solution is determined by integrating the building energy consumption and global cost objectives.The results of the study show that the optimal design scheme can achieve building energy savings of 10.47%to 13.48%and global cost reduction of RMB 32.62 Yuan/m2 to RMB 62.91 Yuan/m2 under the meteorological conditions of four typical cities.The study helps designers to select the optimal design parameters applicable to the region,thus realizing the energy-saving goals of the building.
multi-objective optimizationBuilding energy consumptionGlobal costPublic buildingsDiscrete maximization approach
NETL
NSTL
万方数据
