Strict standards in medical complexes forced the air conditioning designers to approve a system that adjusts temperature and CO₂ levels. In this study, medical complex energy analysis was discussed by introducing two cases, i.e., internal and external improvers. Using numerical approaches the energy analysis was performed and consequently using CFD-based approaches, the internal temoerature distribution was simulated. Monthly analysis showed that PCM has a positive effect each month. The heating zone and cooling zone for the medical complex with PCM were 15751 and 129923 kBtu per hour less than the normal medical complex. In the external improver section, a program was developed to adjust the building's ventilation in three scenarios: part-load, full-load, and extra load. Although in the first and second scenarios, the goal of ventilation was to create comfortable conditions, in the third scenario, the goal of extra ventilation was to reduce energy consumption. Excessive ventilation kept the room in comfortable conditions by distributing fresh air at the desired temperature. Owing to injecting extra ventilated fresh air, the changes in the heating zone were not significant while the cooling zone parameter decreased by 2639 kBtu per hour. To forecast the thermal behavior of the medical complex with PCM, the neural network was implemented.

医疗综合体的严格标准迫使空调设计人员批准了一种调节温度和 CO _2的系统水平。本研究通过介绍内部和外部改进剂两种情况对医学复合能量分析进行了讨论。使用数值方法进行能量分析，因此使用基于 CFD 的方法模拟内部温度分布。月度分析表明，PCM 每个月都有积极的影响。PCM 医疗综合体的加热区和冷却区比普通医疗综合体每小时少 15751 和 129923 kBtu。在外部改进部分，开发了一个程序来调整建筑物在三种情况下的通风：部分负荷、全负荷和额外负荷。虽然在第一种和第二种情况下，通风的目标是创造舒适的条件，但在第三种情况下，额外通风的目标是减少能源消耗。通过在所需温度下分配新鲜空气，过度通风使房间保持舒适的条件。由于注入了额外的通风新鲜空气，加热区的变化并不显着，而冷却区参数每小时减少 2639 kBtu。为了使用 PCM 预测医疗综合体的热行为，实施了神经网络。