Simultaneous identification of dynamic model and occupant-induced disturbance for commercial buildings
Simultaneous identification of dynamic model and occupant-induced disturbance for commercial buildings
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DOI：
10.1016/j.buildenv.2017.10.020
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发表时间：
2018-01-15
影响因子：
7.4
通讯作者：
Barooah, Prabir
中科院分区：
文献类型：
--
作者：
Coffman, Austin R.;Barooah, Prabir
基于预测的控制需要一个建筑物的热动力学模型。由于存在大量无法测量的干扰，特别是由于居住者的热增益，确定热动态模型的任务具有挑战性。事实上，这种“乘员诱导负荷”的识别对于预测控制也很有价值，特别是在商业建筑中。我们提出了一种方法来识别模型（电阻-电容网络类型）和未测量的干扰从测量的输入-输出数据。该方法是基于这样的认识，即不可测扰动的主要贡献者，即乘员引起的荷载，是分段恒定的，特别是在商业建筑中。这可以用来构造一个增广的动态模型，从而将扰动估计转化为状态估计问题。外环优化识别最适合的参数值。利用仿真模型（开环和闭环工况）和实际建筑的数据对该方法的有效性进行了评价。
A model of a building's thermal dynamics is needed for prediction-based control. The task of identifying a thermal dynamic model is made challenging by the presence of large unmeasured disturbances, especially the heat gain due to the occupants. In fact, identification of this "occupant-induced load" is also valuable for predictive control especially in commercial buildings. We propose a method to identify both a model (of resistance-capacitance network type) and the unmeasured disturbances from measured input-output data. The method is based on the insight that the main contributor to the unmeasured disturbance, the occupant-induced load, is piecewise constant, especially in commercial buildings. This can be used to construct an augmented dynamic model so that disturbance estimation is converted to a state estimation problem. An outer-loop optimization identifies the best-fit parameter values. The effectiveness of the method is evaluated using data from a simulation model (under both open and closed-loop operations) and a real building.