Research on the Sensitivity of Thermal Comfort Using Sensitivity Algorithms Based on Variance and Stochastic Expansion

In the research field of modern architectural environment, the sensitivity research of human thermal comfort factors is of crucial significance.In this paper, first of all, common algorithms in the field of sensitivity analysis and data sets for thermal comfort research are elaborated in detail.Secondly.The variance method is taken into consideration.It has the capacity to reflect the fluctuation of the influence that different factors exert on the results.Meanwhile, the stochastic expansion method is also regarded.It is capable of handling complex non-linear relationships.A decision is made to combine these two methods.And the combined methods will be applied to conduct the sensitivity analysis of thermal comfort factors.Finally, the most critical factors for thermal comfort are successfully identified, providing an important basis for the construction and optimization of the thermal comfort prediction model.