Multi-objective optimization design approach for green building retrofit based on BIM and BPS in the cold region of China

This article presents a BIM—and BPS—based optimization design approach employed in the decision-making stage of integrating form, fabric, system and appliance strategies to improve day-lighting environment, reduce house-hold energy consumption as well as CO₂ emissions. A representative residence built in 1980 is selected as a case study to analysis the building performance improvement by retrofit. Revit is used to build a BIM model, which is imported into both Ecotect—Daysim and Design-Builder to make quantitative analysis of daylighting and energy consumption before and after retrofit. This results will provide the corresponding priorities for measures towards different single-objective. Then, the NSGA-II genetic algorithm is used to complete the multiple-objective optimization compromising CO₂ emissions and discomfort hours. This research developed a multi-objective sensitivity tool based on JAVA programming which is applied on the residence case by decision making support for the early design stage.