Nowadays identifying techniques aimed at a rational use of electric power has become even more important than the production of energy itself. This is caused by different factors, as the progressive saturation of the electricity grid, which is increasingly subject to connection requests, mainly due to the development of plants which exploit renewable energy sources. This work suggests a new approach based on the combination of the optimizer and the simulator developed in the MATLAB/Simulink environment, in order to reduce the energy costs in buildings during the summer while taking into consideration the user comfort. The electrical consumption of the entire building is taken into consideration is here examined with the aim of applying an air-conditioning system. The goal is to find, the day before, which is the optimal hourly scheduling of the control variables that must be applied the next day, taking into consideration all external conditions; weather conditions and the hourly energy price. In order to achieve this objective, the control variables, that have been changed, are the room temperature set points and the flow water temperature set point. As required by the UNI EN ISO 7730:2006 standard, comfort measurement is calculated by PPD (Predicted Percentage of Dissatisfied) index. Different scenarios are investigated and two optimization algorithms are compared. The results show that there is an average of $10-28\%$ potential cost saving, while maintaining a high level of comfort (PPD ≤ 12). The study is carried out by simulating a real office building in Italy, and the comparisons are shown regarding the actual settings applied to it.

如今，识别旨在合理使用电力的技术比生产能源本身更加重要。这是由不同的因素引起的，因为电网逐渐饱和，越来越受连接要求的影响，这主要归因于开发利用可再生能源的电厂的发展。这项工作提出了一种基于优化器和在MATLAB / Simulink环境中开发的仿真器相结合的新方法，以便在考虑用户舒适度的同时降低夏季建筑物的能源成本。为了应用空调系统，这里考虑了整个建筑物的电力消耗。我们的目标是在前一天找到 考虑到所有外部条件，这是第二天必须应用的控制变量的最佳每小时计划；天气情况和每小时的能源价格。为了达到这个目的，已经改变的控制变量是室温设定点和流动水温度设定点。根据UNI EN ISO 7730：2006标准的要求，舒适度测量值通过PPD（不满意的预测百分比）指数进行计算。研究了不同的场景，并比较了两种优化算法。结果表明，平均 是室温设定点和流水温度设定点。根据UNI EN ISO 7730：2006标准的要求，舒适度测量值通过PPD（不满意的预测百分比）指数进行计算。研究了不同的场景，并比较了两种优化算法。结果表明，平均 是室温设定点和流通水温度设定点。根据UNI EN ISO 7730：2006标准的要求，舒适度测量值通过PPD（不满意的预测百分比）指数进行计算。研究了不同的场景，并比较了两种优化算法。结果表明，平均$10-28％$潜在的成本节省，同时保持较高的舒适度（PPD≤12  ）。该研究是通过模拟意大利的一栋实际办公楼进行的，并显示了应用于该办公楼的实际设置的比较结果。