| With the slowing down of the construction speed of new buildings,China’s building energy conservation work is in an important transition period.The development of passive and low-energy building technology has entered a platform period,and the focus of building energy conservation work has gradually shifted from the design stage and construction stage to the actual operation stage.Because different factors have different effects on the terminal operation energy consumption of public buildings,the functional types and usage conditions of public buildings are greatly different.Therefore,it is an urgent technical problem to realize the horizontal comparison and analysis of the energy consumption of public building terminals on the same level and to meet the technical requirements of evaluating the energy consumption of different types of terminals under different application scenarios of public building energy conservation in the operation stage.Therefore,this study takes domestic public building samples from different climate zones and different types as research objects and puts forward a dimension reduction and integration method for influencing factors of terminal energy consumption of public buildings based on principal component-clustering method as the core.Based on the samples of terminal energy consumption of public buildings,the quantitative mathematical expression of the relationship between terminal energy consumption and normalized influencing factors is established by using mathematical means such as multiple linear regression fitting,and the standardized revision mathematical model of terminal energy consumption of public buildings is formed.The evaluation formula of terminal energy consumption of public buildings based on standardized revised model is proposed.The total energy consumption of the terminal and the sub-energy consumption of the terminal are evaluated and scored respectively.Through horizontal comparison,the level of terminal energy consumption of the building is analyzed.In typical application scenarios,the terminal energy consumption assessment method of public buildings proposed in this study is used to correct the terminal energy consumption quota,analyze the potential of building energy efficiency improvement,and estimate and evaluate the terminal energy consumption of energy conservation renovation according to specific building cases.The following conclusions are drawn:(1)After the principal component--cluster analysis processing of the factors affecting low energy consumption public buildings,the specific sub-factors can be dimensionalized into new universal and representative homogeneous factors:external meteorological conditions of buildings,characteristics of building noumenon and building usage.(2)The standardized revised mathematical model for the terminal energy consumption of office buildings,hotels,shopping malls and hospitals was established.(3)The evaluation and scoring results of the total terminal energy consumption and sub-item energy consumption after standardization of public buildings with different climate zones and different properties are as follows:1)The maximum and minimum normalized difference of the total energy use density of the office building sample terminal are 10.49kgce/(m~2·a),1.44kgce/(m~2·a),the fluctuation range is 9.05kgce/(m~2·a),and the average normalized difference of the sample is 3.76.The highest score was 100 points,the lowest score was 81.26 points,the difference between the highest score and the lowest score was 18.74 points,and the average sample score was 86 points.Among them,the confidence value of the sub-item energy consumption standardized difference of building use is the largest,which is 1.26kgce/(m~2·a),and the confidence value of the sub-item energy consumption standardized difference of building ontology is the smallest,which is 0.81kgce/(m~2·a).2)The maximum and minimum standardized difference of total energy use density of hotels and restaurants were 7.45kgce/(m~2·a)and 0.63kgce/(m~2·a),with a fluctuation range of 6.87kgce/(m~2·a),and the average standardized difference of the sample was 3.20.The highest score was 100 points,the lowest score was 77.62 points,the difference between the highest score and the lowest score was 22.38 points,and the average sample score was 83 points.Among them,the confidence value of the sub-standard difference of energy consumption of building ontology characteristics is the largest(1.71kgce/(m~2·a)),and the confidence value of the sub-standard difference of energy consumption of building usage is the smallest(0.46kgce/(m~2·a)).3)The maximum value and minimum value of standardized difference of total energy use density of terminal of shopping mall samples are 9.08kgce/(m~2·a),0.35kgce/(m~2·a),and the fluctuation range is 8.73kgce/(m~2·a).The average standardized difference of the sample is 3.22.The highest score was 100 points,the lowest score was 76.34 points,the difference between the highest score and the lowest score was 23.66 points,and the average sample score was 85 points.Among them,the confidence value of the sub-standard difference of energy consumption of external meteorological conditions is the largest,which is 0.98kgce/(m~2·a),and the confidence value of the sub-standard difference of energy consumption of building use is the smallest,which is 0.65kgce/(m~2·a).4)The maximum and minimum values of standardized difference of total energy use density of hospital building sample terminals were 8.01kgce/(m~2·a)and 0.25kgce/(m~2·a),with a fluctuation range of 7.76kgce/(m~2·a),and the average standardized difference of the sample was 2.41.The highest score was 100 points,the lowest score was 80.59 points,the difference between the highest score and the lowest score was 19.41 points,and the average sample score was 87 points.Among them,the confidence value of the sub-standard difference of energy consumption of external meteorological conditions is the largest(0.70kgce/(m~2·a)),and the confidence value of the sub-standard difference of energy consumption of building characteristics is the smallest(0.60kgce/(m~2·a)).(4)In the rated case of public building energy consumption,the difference rate between the revised energy consumption quota after standardization and that before the revision was 9.07%;The difference rate of energy saving between the modified energy saving system and the unmodified energy saving system is 54.55%. |