Building Energy Management Systems provide users with desired environmental conditions by organizing air-conditioning and lighting systems. Many studies related to the energy management system in smart buildings have been conducted. However, the thermal comfort of occupants at lower energy consumption is a significant challenge to researchers. Therefore, in this study, a new smart approach is presented, which has the ability to take into account the impact of the next wall neighbors, and the outside temperature to reduce the energy consumption of an HVAC system without affecting the thermal comfort of occupants. Our model is based on four strategies implemented and simulated using the 3D modeling interface of the Rhino/Grasshopper visual programming tool. The control system of our office building intends to meet the ANSI/ASHRAE standard, which defines the thermal comfort of occupants. The proposed system takes into account the effect of different heat loads of a building, such as equipment load, lighting density, and the number of people per area. Our machine-to-machine communication based approach is capable of reducing energy consumption while keeping the occupants thermally comfortable. Consequently, the annual energy consumption has been reduced by an average of 16% at different setpoints of the HVAC system.

建筑能源管理系统通过组织空调和照明系统为用户提供所需的环境条件。已经进行了许多与智能建筑中的能量管理系统有关的研究。然而，低能耗的乘员的热舒适性是研究人员面临的重大挑战。因此，在这项研究中，提出了一种新的智能方法，该方法能够考虑到隔壁邻居的影响以及外界温度，以减少HVAC系统的能耗，而不影响乘员的热舒适性。我们的模型基于使用Rhino / Grasshopper视觉编程工具的3D建模界面实施和仿真的四种策略。我们办公楼的控制系统旨在满足ANSI / ASHRAE标准，它定义了乘员的热舒适性。拟议的系统考虑到了不同的影响建筑物的热负荷，例如设备负荷，照明密度和每个区域的人数。我们基于机器对机器通信的方法能够减少能耗，同时使乘员保持热舒适。因此，在HVAC系统的不同设定点上，年能耗平均降低了16％。