暖通空调系统在成本和性能方面有所不同。它们在每个房间或建筑中的行为是独特的，取决于许多因素，包括系统类型、扩散器特性（扩散器的数量、位置和类型）、所用阻尼器的质量、恒温器的位置、内部设计温度（恒温器设定点温度）以及与HVAC系统相关的控制方案。同样，建筑能源需求预测也是独一无二的，这取决于暖通空调系统的设计、建筑围护结构和天气的特点、人们的行为等等。 本文研究了通过将分区模型集成到多房间热模型中，提高装有地板辐射系统的建筑供暖能量需求计算精度的可能性。研究了三种恒温器设定点策略:室温（RAT）、平均辐射温度（MRT）和工作温度（OT）。对热多室模型和开发的综合分区模型POMA/多室模型的预测进行了比较，以证明在能源预测中考虑室温分布的重要性。 此外，热舒适性的详细预测（PMV和PPD指数）允许预测恒温器位置、能耗和热舒适性之间的关系。引文:ASHRAE交易——第120卷，第一部分，纽约州纽约

HVAC systems are different in terms of cost and performance. Their behavior in each single room or building is unique and depends on many factors, including the system type, the diffusers characteristics (the number, locations, and type of diffusers), the quality of dampers used, the thermostats' locations, the inside design temperature (thermostat setpoint temperature), and the control scheme associated with the HVAC system. Similarly, the building energy demand prediction is also unique, depending on the HVAC system design, the characteristics of building envelope and weather, people's behavior, and so on. This paper investigates the possibility of improving the heating energy demand calculation accuracy of a building equipped with an electric floor radiation system by the integration of a zonal model into a multi-room thermal model. Three thermostat setpoint strategies, room air temperature (RAT), mean radiant temperature (MRT), and operative temperature (OT) have been studied. Comparisons between the predictions of the thermal multi-room model and the integrated zonal model POMA/multi-room model developed have been performed to demonstrate the importance of considering the room temperature distribution in energy predictions. As well, detailed prediction of thermal comfort (PMV and PPD indices) allows the prediction of the relationship between thermostat locations, energy consumption, and thermal comfort.