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Energy Flexibility for Systems with large Thermal Masses with Applications to Shopping Centers

机译:具有大热质量的系统在购物中心应用中的能源灵活性

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In this paper we propose a scheme for managing energy flexibility in buildings with significant thermal masses and centralized climate control, such as commercial buildings, which can be used to provide ancillary services to the local electrical system (demand response). The scheme relies on being able to manipulate the forward flow temperature in the climate control system along with heating/cooling of zones of the building, and thereby controlling the electrical power consumption of the system. A Model Predictive Control law is formulated to provide pre-storage of thermal energy in the manipulated zones without violating comfort requirements. The scheme is illustrated on a case study of a Danish shopping center, from which actual heating/cooling data have been collected for identification of thermal dynamics. The Coefficient of Performance of the system's chiller is assumed to have a known dependence on flow and temperature, which is exploited to relate electrical power consumption to forward flow temperature. Simulation studies indicate potentials for significant power curtailment, in the order of 100 kW for one hour for the shopping center as a whole.
机译:在本文中,我们提出了一种用于管理具有大量热质量和集中式气候控制的建筑物(例如,商业建筑物)中的能源灵活性的方案,该方案可用于为本地电气系统提供辅助服务(需求响应)。该方案依赖于能够操纵气候控制系统中的前向温度以及建筑物区域的加热/冷却,从而控制系统的电力消耗。制定了模型预测控制法则,以在不违反舒适性要求的前提下,在操纵区域内预先存储热能。该方案以丹麦购物中心的案例研究为例,从中收集了实际的加热/冷却数据以识别热力学。假定系统冷却器的性能系数对流量和温度具有已知的依赖性,可将其用于将电功率消耗与正向流动温度相关联。仿真研究表明,整个购物中心的潜在功耗可能会显着降低,一小时的功耗约为100 kW。

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