Mathematical model of energy conservation evaluation of passive building based on fuzzy clustering algorithm

When evaluating the energy conservation effect of passive buildings, the traditional gray comprehensive evaluation model cannot comprehensively analyze the building's own factors, which leads to lower accuracy of analysis. Mathematical model of energy conservation evaluation of passive building based on fuzzy clustering algorithm is designed, which uses the analytic hierarchy process to determine the weight of the energy conservation evaluation index of passive building. The system of energy conservation indicators for passive buildings is constructed to calculate fuzzy similarities between different evaluation indicators and to calculate them. Through the clustering of the calculation results, the energy conservation evaluation results of the passive building are obtained. The experimental results show that the designed model can effectively evaluate the energy conservation effect of passive buildings, and its generalization ability is better. The average accuracy of the evaluation is as high as 98%, and the evaluation rate is as high as 96%. The average time-consuming value of the eight passive buildings is only 540.54 s. It has the advantage of high evaluation accuracy and high efficiency.