## 4 A Typical Application: Wuhan Huoshenshan Hospital
### Evaluating the Design Scheme of the Air Outlets and Fresh-Air Intakes
#### 4.3.2 Cases with Different Wind Speeds  
According to the simulation results of cases with different wind directions, east and northwest wind directions were considered as the most unfavorable wind directions. Therefore, under the conditions of these two wind directions, the simulation of cases with different wind speeds (i.e., Case-0.5-E, Case-3.5-E, Case-5.0-E, Case-0.5-NW, Case-3.5-NW, and Case-5.0-NW) were performed to investigate the effect of the wind speed on the harmful air concentrations near the fresh-air intakes. The maximum instantaneous concentrations of harmful air near fresh-air intakes under different wind speeds are all lower than \(70\times 10^{-6}\) (see Table 1). According to the simulation results of all cases, the maximum instantaneous concentration of \(62.311\times 10^{-6}\) occurs in Case-1.9-NW. It should be noted that the function of filtration devices was neglected in these simulations. As a result, the actual concentrations of harmful air near the fresh-air intakes should be lower than the simulation results. In conclusion, the design scheme of the Wuhan Huoshenshan Hospital can ensure that the exhausted harmful air from air outlets does not have an adverse impact on the fresh air at intakes. Evaluating the Impact of Exhausted Harnful Air from the Temporary Hospital on the Surrounding Environment  
The Wuhan Huoshenshan Hospital is located in an area where there are also several residential buildings. Hence, except for ensuring that the exhausted harmful air from air outlets does not cause an adverse impact on the fresh-air intakes, it is also necessary to quantify the impact of the harmful air on the surrounding environment. As shown in Figure 20, there is a cluster of villas and several high-rise residential buildings to the north and northwest of the hospital, respectively. Additionally, there are \begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Wind Speed** & 0.5 m/s & 1.9 m/s & 3.5 m/s & 5.0 m/s \\ \hline
**Maximum Instantaneous** & East wind & \(47.004\times 10^{-6}\) & \(48.289\times 10^{-6}\) & \(55.754\times 10^{-6}\) & \(42.501\times 10^{-6}\) \\
**Concentration** & Northwest wind & \(33.096\times 10^{-6}\) & \(62.311\times 10^{-6}\) & \(40.017\times 10^{-6}\) & \(30.084\times 10^{-6}\) \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Maximum instantaneous concentrations of harmful air near fresh-air intakes under different wind speeds. Figure 19: Time–history data of the harmful air concentration near the specific fresh-air intake with the highest instantaneous concentration under different wind directions. some hotels located in the southern section of the target area. Since hotels were closed for the sake of safety when the hospital was in operation, this study focused on the impacts of the exhausted harmful air, from the hospital, on the surrounding high-rise building and villas. The FDS model of the target area was constructed through the high-efficiency modeling method introduced in Section 2.1.4. In the complete FDS model, the hospital was modeled based on the pre-constructed SketchUp model, while the surrounding buildings were modeled using the GIS data captured from public mapping sources. In the FDS model, the pollutant release rate for each air outlet was determined based on the HVAC design results of the Wuhan Huoshenshan Hospital. Then the mass fraction of harmful air for each air outlet was calculated through Equation (1). The plane positions of the monitoring points for the purpose of recording the harmful air concentration data near the high-rise buildings and villas are shown in Figure 20. Given that the average height of the villas and high-rise buildings is approximately 7 m and 30 m, respectively, the monitoring points around the villas are located at heights of 1.5 m and 5 m while those around the high-rise buildings are located at several heights ranging from 1.5 m to 26.0 m (i.e., 1.5, 5.0, 8.5, 12.0, 15.5, 19.0, 22.5, and 26.0 m). Totally 432 monitoring points were identified for this model.