论文标题
用于分散控制的多热区建筑物的最佳分区
Optimal partitioning of multi-thermal zone buildings for decentralized control
论文作者
论文摘要
在本文中，我们开发了一种基于优化的系统方法，用于对分散控制的多热区建筑物最佳分区的具有挑战性，研究和重要问题。所提出的方法包括（i）基于图的网络的构建，以定量地表征邻居区域之间的热相互作用水平，以及（ii）两种不同方法的应用以最佳聚类的最佳聚类，可最大程度地聚类所得的网络图：随机优化和强大的优化。在两个案例研究中测试了所提出的方法：一个5区建筑物（一个小规模的例子），它允许人们考虑所有可能的分区来评估开发方法的成功率；以及一个20区建筑物（一个大规模的例子），用于预测热区域的最佳分区。与现有文献相比，我们的方法为所考虑的问题提供了系统的最佳解决方案。
In this paper, we develop an optimization-based systematic approach for the challenging, less studied, and important problem of optimal partitioning of multi-thermal zone buildings for the decentralized control. The proposed method consists of (i) construction of a graph-based network to quantitatively characterize the thermal interaction level between neighbor zones, and (ii) the application of two different approaches for optimal clustering of the resulting network graph: stochastic optimization and robust optimization. The proposed method was tested on two case studies: a 5-zone building (a small-scale example) which allows one to consider all possible partitions to assess the success rate of the developed method; and a 20-zone building (a large-scale example) for which the developed method was used to predict the optimal partitioning of the thermal zones. Compared to the existing literature, our approach provides a systematic and potentially optimal solution for the considered problem.
