夏热冬冷地区居住建筑碳排放与热舒适度综合灵敏度分析方法  

Comprehensive Sensitivity Analysis of Carbon Emissions and Thermal Comfort of Residential Buildings in Hot Summer and Cold Winter Areas

作　　者：肖敏 朱泓宇 张嘉敏 邓源清 杜思达 李洲 XIAO Min;ZHU Hongyu;ZHANG Jiamin;DENG Yuanqing;DU Sida;LI Zhou(College of Architecture,Changsha University of Science and Technology,Changsha 410114,China;College of Electrical and Information Engineering,Changsha University of Science and Technology,Changsha 410114,China)

机构地区：[1]长沙理工大学建筑学院,长沙410114 [2]长沙理工大学电气与信息工程学院,长沙410114

出　　处：《建筑节能（中英文）》2024年第10期24-32,42,共10页Building Energy Efficiency

基　　金：住房和城乡建设部科学技术计划资助项目(2021-K-105);长沙理工大学研究生创新项目(CLSJCX22147)。

摘　　要：为减少建筑碳排放和提高室内热舒适度,并探索建筑领域最优和最可靠的抽样与灵敏度分析方法,提出一种综合灵敏度百分比分析方法评估建筑参数对碳排放与热舒适度的影响程度。运用5种抽样方法和10种灵敏度分析方法组合成18种灵敏度分析指标,综合分析26个建筑参数对8个夏热冬冷地区城市建筑碳排放和热舒适度的影响。灵敏度分析结果表明:制冷设定值、供暖设定值、渗透率、屋顶U值、外窗太阳得热系数、窗墙比等为影响建筑碳排放与室内热舒适的关键参数。F检验结果表明:拉丁超立方抽样(LHS,Latin Hypercube Sampling)和皮尔逊相关系数(PEAR,Pearson Correlation Coefficient)分析方法的F值为0.788,是最可靠的灵敏度评估方法;其次仅需270个样本的Morris方法亦能获得与综合灵敏度极为相似的值,并极大地减少仿真时间。The comprehensive sensitivity percentage analysis method is applied to evaluate the influence of input parameters on the degree of carbon emissions and thermal comfort,and discuss the optimal and most reliable sampling and sensitivity analysis method.18 sensitivity analysis indicators were combined with five sampling methods and ten sensitivity analysis methods to comprehensively analyze the influence of 26 building parameters on carbon emissions and thermal comfort of urban buildings in eight hot summer and cold winter regions.The sensitivity analysis results indicate that cooling setting value,heating setting value,penetration rate,roof U-value,external window solar heat gain coefficient,window to wall ratio,etc.are key parameters affecting building carbon emissions and indoor thermal comfort.The F-test results indicate that the Latin hypercube sampling(LHS,Latin Hypercube Sampling)and Pearson correlation coefficient(PEAR,Pearson Correlation Coefficient)analysis methods have an F-value of 0.788,making them the most reliable sensitivity evaluation methods;Secondly,the Morris method,which only requires 270 samples,can also obtain values that are extremely similar to the overall sensitivity and greatly reduce simulation time.

关 键 词：灵敏度分析 建筑碳排放 抽样方法 室内舒适度 

分 类 号：TU226[建筑科学—建筑设计及理论]