Energy efficient control of variable speed pumps in complex building central air-conditioning systems

Energy efficient control of variable speed pumps in complex building central air-conditioning systems
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DOI:
10.1016/j.enbuild.2008.09.002
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发表时间:
2009-02-01
影响因子:
6.7
通讯作者:
Wang, Shengwei
Wang, Shengwei
中科院分区:
工程技术2区
文献类型:
--
作者:
Ma, Zhenjun;Wang, Shengwei

文献摘要

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本文针对复杂建筑空调系统中不同配置的变频水泵提出了优化控制策略,以提高系统的能效。通过对系统特性的详细分析,建立了复杂空调系统中不同水网络的压降模型,并利用该模型制定了水泵最优顺序控制策略。该顺序控制策略确定运行中的泵的最佳数量,同时考虑它们的功耗和维护成本。复杂空调系统中的变速泵可分为两类:向末端单元分配水的泵和向热交换器分配水的泵。将水分配到终端单元的泵的速度通过使用水控制阀的在线打开信号重置压差设定点来控制。使用水流控制器控制将水分配到热交换器的泵的速度。在一个模拟的虚拟环境中,这些策略的性能进行了测试和评估,代表了复杂的空调系统在超高层建筑通过比较与其他参考策略。结果表明,采用这些优化控制策略,可使水泵节能12%~ 32%。(c)2008 Elsevier B. V.保留所有权利。
This paper presents the optimal control strategies for variable speed pumps with different configurations in complex building air-conditioning systems to enhance their energy efficiencies. Through a detailed analysis of the system characteristics, the pressure drop models for different water networks in complex air-conditioning systems are developed and then used to formulate an optimal pump sequence control strategy. This sequence control strategy determines the optimal number of pumps in operation taking into account their power consumptions and maintenance costs. The variable speed pumps in complex air-conditioning systems can be classified into two groups: the pumps distributing water to terminal units and pumps distributing water to heat exchanges. The speeds Of Pumps distributing water to terminal units are controlled by resetting the pressure differential set-point using the online opening signals of water control valves. The speeds of pumps distributing water to heat exchanges are controlled using a water flow controller. The performances of these strategies are tested and evaluated in a simulated virtual environment representing the complex air-conditioning system in a super high-rise building by comparing with that of other reference strategies. The results showed that about 12-32% of pump energy could be saved by using these optimal control strategies. (c) 2008 Elsevier B.V. All rights reserved.