Office building model identification and control design

Office building model identification and control design
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办公楼模型识别与控制设计

DOI:
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发表时间:
2014
期刊:
American Control Conference
影响因子:
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通讯作者:
Amip Shah
Amip Shah
中科院分区:
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文献类型:
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作者:
M. Minakais;J. Wen;Sandipan Mishra;Rongliang Zhou;Zhikui Wang;Amip Shah

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本文介绍了一个大型办公楼的一层的总热模型的识别,该办公楼由分隔的办公室和会议室组成。该空间装有大量的内部温度传感器以及供气温度和流量传感器。屋顶的太阳辐射数据也是可用的。模型识别过程中的第一步是将内部温度测量聚类到区域中。这些区域基于群集的物理位置形成热连通性图。每个区域对应于图中具有对应热容的节点。这些区域通过热阻连接到相邻区域和周围环境。由于两个墙壁和天花板上的大窗户,模型还需要考虑输入空间的辐射热。我们通过将预测的温度轨迹与测量数据相匹配来识别模型中的热容、热阻和辐射传热系数。作为验证,该模型显示出合理的预测温度的日期不用于识别。使用所确定的模型,我们还考虑了与现实世界的环境温度和太阳能数据的温度控制问题。通过使用我们以前报道的被动式温度控制器,我们实现了更严格的温度调节,同时消耗更少的能量相比,现有的控制器。
This paper presents the identification of a lumped thermal model for one floor of a large office building consisting of partitioned cubicles and conference rooms. The space is instrumented with a large number of interior temperature sensors as well as supply-air temperature and flowrate sensors. Roof top solar radiation data is also available. The first step in the model identification process is to cluster the interior temperature measurements into zones. The zones form a thermal connectivity graph based on the physical location of the clusters. Each zone corresponds to a node in the graph with a corresponding thermal capacitance. The zones connect to adjacent zones and to the ambient via thermal resistances. Due to large windows on two walls and the ceiling, the model also needs to account for the radiant heat input into the space. We identify thermal capacitance, thermal resistance, and radiant heat transfer coefficients in the model by matching the predicted temperature trajectory with the measured data. As validation, the model shows reasonable prediction of temperatures on dates not used for identification. Using the identified model, we also consider the temperature control problem with real-world ambient temperature and solar data. By using our previously reported passivity-based temperature controller, we achieve tighter temperature regulation while consuming less energy as compared with the existing controller.