Single image modeling (SIM) for predicting the temperature and airflows of outdoor air zones in regional planning

This paper presents a single image modeling method (SIM) to efficiently identifying the regional thermal environment parameters, which is used to predict and optimize the regional thermal environment and operation in advance. Coupled with the simplified solar radiation solution model, the building complex thermal model is established to predict the temperature distribution of the underlying surface and building surface. Then the heat and mass exchange equations of the horizontal and vertical boundary are simplified and interacted to obtain the flow area air-dry bulb temperature, wind speed, and other information. To validate the proposed SIM method, the method is applied to simulate and analyze the thermal environment in the Huxi Campus in Chongqing, China. The meteorological parameters and building material thermal physical property parameters are used as the initial conditions of the simulations. The simulation results are validated using the summer measurements carried out in Huxi Campus. The results showed that the simulation results were consistent with the measured data. The RMSEs (root-mean-square errors) and MAPEs (mean-absolute-percentage errors) of air temperatures adopting the SIM method were less than 1.65 and 5.00%, and the MAPEs of wind speed was less than 10.00%.