## 4 Experimental Setup and Result Analysis
### Results and Discussion
After calculation and analysis, the electric power of the optimized system is generally reduced by more than 8% compared with that before optimization, which indicates that the adaptive optimization control model of the air intelligent building system can effectively optimize the operation parameters of the energy-saving system and achieve the purpose of energy saving, as shown in Table 5 below. Figure 10 shows the power consumption rate before and after optimization. However, it is still difficult to directly interpret how much energy is saved after the optimization. Therefore, in Figure 11 we have shown the power reduction in percentage, which provides ease of interpretation. Figure 8: Occupant comfortability in the intelligent buildings. Figure 10 shows the total amount of power consumed before and after applying the niche optimization in kilowatt hours. Here, the horizontal axis represents various numbers of samples taken over different time periods of 8 to 8:30. Similarly, the vertical axis represents the total amount of power consumed in each time period. In order to effectively improve the efficiency of energy utilization and achieve the goal of energy saving and emission reduction, a wind power generation system is set up in the intelligent building. The energy generated during the operation of the system can share 1% of the daily waste of resources. After the calculation of the system, it is found that the system can provide 197,500 kilowatt hours of power supply for the equipment on the sightseeing floor every year, which not only reduces the cost of electric energy but also, as typical clean energy, the environmental impact of its energy production is very small. Figure 10: Total power consumption before and after optimization. Figure 9: The value of fitness function over 90 generations. The intelligent building is partially integrated with renewable energy power generation devices, which provides auxiliary support for meeting the power demand of intelligent buildings. As the height of the intelligent building exceeds 600 m, the wind level is high. After measurement, it is found that the daily average wind speed is as high as 9 m/s. In order to make full use of the advantages of wind energy, it is proposed to install vertical axis wind turbines. Because this floor can provide all-around wind energy without dead angle, the advantage of 360\({}^{\circ}\) utilization of wind energy by vertical axis wind turbine can be fully highlighted here. In a large number of practical experiences, the reliability and stability of the equipment have been fully verified. As for the selection of specific models, we chose the second-generation vertical axis wind turbine on the market, with a life cycle of 7 years, low overall wasting of resources, and high power generation efficiency, which can effectively meet the auxiliary power supply load demand of intelligent buildings as shown in Figure 12.  
At the same time, the high-temperature flue gas generated by the startup generator set during its operation is purified, and then the waste heat boiler and Huankeng refrigeration unit are used to meet various hot water needs of intelligent buildings. This typical combined cooling, heating, and power supply system has greatly improved the comprehensive utilization effect of resources, and its important role in energy saving and emission reduction deserves our due recognition. In the specific application process, the system generates electricity to supply the electricity demand of intelligent buildings and  
Figure 11: Power saving rate in percentage.