时变工作点下建筑暖通空调系统监控模型预测控制设计

Sitthiphat Promchaiwattana, D. Banjerdpongchai
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引用次数: 0

摘要

提出了考虑调峰和热舒适的暖通空调系统监控模型预测控制设计。在本工作中,我们分析了与热舒适要求有关的工作点。然后,将非线性动力学模型线性化为线性时变模型。特别地,我们规定开环暖通空调系统的工作点满足热舒适条件。这使得预测的平均投票(PMV)等于零或接近于零。随后,我们计算了区域温度、区域湿度比和体积流量。当考虑时变扰动曲线时,工作点似乎是时变的。我们观察到性能系数(COP)和工作点是时变的,从而得到时变模型。此外,我们还针对线性时变模型设计了监督控制(SC)和模型预测控制(MPC)。在SC设计中,我们的目标是找到作为MPC参考信号的最佳参考区温度。在MPC设计中,目标是双重的。首先,区域温度跟踪参考信号。其次,电能成本和期望热舒适的偏差都是最小的。计算机仿真结果表明,时变HVAC系统的MPC方法具有最佳的参考跟踪效果。此外,它最大限度地降低了总电能成本。我们得出结论,最佳温度参考可以有效地应用于建筑暖通空调系统,同时使居住者感到舒适,并且总电能成本最低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of Supervisory Model Predictive Control for Building HVAC System Subject to Time-Varying Operating Points
This paper presents the design of supervisory model predictive control for HVAC systems with consideration of peak demand shaving and thermal comfort. In this work, we analyze the operating points with the thermal comfort requirement. Afterwards, we linearize the nonlinear dynamic model to a linear time-varying model. In particular, we specify that the operating point of the open-loop HVAC system satisfies the thermal comfort condition. This makes the predicted mean vote (PMV) equal to zero or nearly to zero. Subsequently, we calculate the zone temperature, the zone humidity ratio, and the volumetric flow rate. When considering the time-varying disturbance profiles, it appears that the operating points are time-varying. We observe that the coefficient of performance (COP) and the operating points are time-varying which lead to time-varying model. Moreover, we design supervisory control (SC) and model predictive control (MPC) for linear time-varying model. In the SC design, we aim to find the optimal reference zone temperature which is used as the reference signal for MPC. In the MPC design, the objectives are twofold. First, the zone temperature tracks the reference signal. Second, both electrical energy cost and deviation of desired thermal comfort are minimized. The computer simulation shows that MPC of time-varying HVAC system yields the best reference tracking. In addition, it reduces total electrical energy cost the most. We conclude that the optimal temperature reference can be effectively applied to the building HVAC systems while the occupants feel comfortable and the total electrical energy cost is the lowest.
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