基于熵权-TOPSIS法的严寒山地条件下冬奥临时办公用房围护结构保温方案多目标优选研究
Multi-objective optimization study on thermal insulation scheme for envelopes of temporary office buildings for Winter Olympics under severe cold mountain conditions based on entropy-TOPSIS method
摘要：
基于DesignBuilder热负荷计算模型和熵权-TOPSIS法建立了冬奥山地严寒大风地区临时办公用房围护结构保温方案多目标综合比选模型,以室内有效空间体积、围护结构传热系数平均值、全年运营碳排放量、保温材料初投资与运营费用折现年均值分别作为临时用房的实用性能、保温性能、碳排放量与经济效益的量化指标,通过计算各方案贴近度,确定了最优方案。实测验证了最优方案的围护结构保温性能优于普通方案,更适应严寒山地条件。
Abstract：
Based on the DesignBuilder heat load calculation model and the entropy-TOPSIS method, a multi-objective comprehensive comparison and selection model for the thermal insulation scheme for the envelopes of temporary office buildings in severe cold and windy areas of the Winter Olympics is established. The indoor effective space volume, the average heat transfer coefficient of building envelopes, the annual operating carbon emissions, the discounted annual average value of initial investment and operating expenses of thermal insulation materials are used as the quantitative indicators of the practical performance, thermal insulation performance, carbon emissions and economic benefits of temporary buildings, respectively. By calculating the closeness degree of each scheme, the optimal scheme is determined. The measured results show that the thermal insulation performance of building envelopes of the optimal scheme is better than that of the ordinary scheme, and is more suitable for severe cold mountain conditions.
Keywords:temporary building; building envelope; thermal insulation; multi-objective optimization; severe cold mountain; Winter Olympics; entropy-TOPSIS method