## 4 Data Analysis and Results
### Psychometric Chart Analysis  
Figures 18 and 19 present the psychometric chart analysis showing the relationship between different parameters in humid air, where enthalpy is a physical quantity of energy inside a substance with the units of kJ. In the modeling process, the psychometric chart intuitively obtained the cold, hot, dry, and wet indoor and outdoor conditions of the building, and the deviation was analyzed by comparing the optimal comfort zones and were adjusted for time. The comfort zone was determined by air temperature, relative humidity, air velocity, and ambient radiation temperature. As shown in Figures 18 and 19, each point represents the temperature and humidity state, where the horizontal axis represents the temperature, the vertical axis represents the absolute humidity, the dotted line represents the relative humidity, the straight line represents the wet-bulb temperature, and the area surrounded by the yellow line is the comfort zone. The blue line shows the monthly data. The region was saltry in summer and cold in winter; thus, most of the data fell outside the optimal region, so that more ventilation and insulation measures were considered in summer, and more moisturizing measures were considered in winter.  
Figure 15: Annual solar radiation data.  
Figure 20 presents the thermal comfort percentage used as reference for passive strategies of different climates, which could not only reduce the adverse impact of buildings on the environment, but also reduce the high cost caused by inappropriate schematics. The combination of different passive strategies, thermal mass effect, exposure quality, right ventilation, and natural ventilation could improve human comfort, while direct and indirect evaporative cooling strategies had no significant impact on high humidity. The effects of technical measures, such as enhancing the thermal storage capacity of the envelope, night ventilation, passive solar energy, natural ventilation, direct evaporation, and indirect evaporation cooling on the thermal comfort of the building were included. The white column represents the percentage of thermal comfort without the relevant technology, and the dark column represents the percentage of thermal comfort after the technology is adopted. The passive strategies were more effective in spring and autumn than in summer, because high temperature and high humidity did not improve human comfort; thus, one way to improve human comfort in summer is to consider proper natural ventilation and to take measures of sunshade and radiation protection. Due to the low temperature in winter, one way to improve the comfort level is to adopt active heating to enhance the building's heat storage capacity. The rational use of the enthalpy diagram could not only determine the optimal comfort zones of the building, controlling the early design cost, but also put forward improvement measures regarding the passive design for the comfort of the housing.  
Figure 16: Optimal orientation diagram.  
Figure 17: Optimal orientation data.  
Figure 18: Enthalpy humidity chart.  
Figure 19: Psychometric chart analysis.  
Figure 20: Thermal comfort percentage.