A stochastic load demand-oriented synergetic optimal control strategy for variable-speed pumps in residential district heating or cooling systems

被引:8
作者
Wang, Yu [1 ,2 ]
Wang, Zhiwei [1 ]
Wang, Zhanwei [2 ]
机构
[1] Xian Univ Architecture & Technol, Sch Bldg Serv Sci & Engn, 13 Yanta Rd, Xian 710055, Peoples R China
[2] Henan Univ Sci & Technol, Inst Bldg Energy & Thermal Sci, Luoyang 471023, Peoples R China
基金
国家重点研发计划;
关键词
Stochastic load demands; Variable-speed pumps; Control strategy; Energy-saving; Residential district heating or cooling; HYDRAULIC PERFORMANCE; SIMULATION; OCCUPANCY; MODEL; OPTIMIZATION; STATE;
D O I
10.1016/j.enbuild.2021.110853
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
For a residential district heating or cooling (RDHC) system in the "part-time part-space (PTPS)" service mode, the thermal load demands of end users are notably stochastic. To reducing the energy consump-tion of centralized variable-speed pumps (VSPs) in RDHC systems, this study presents a stochastic load demand-oriented synergetic optimal control strategy for VSPs in RDHC systems. In this strategy, the spa-tial and temporal distribution of the stochastic load demands (SLDs) in a residential district is predicted using the stochastic occupant behavior (SOB) method. The operation regulation of the RDHC system is mathematically described based on graph theory. A synergetic optimization mathematical model is developed based on each end user's SLD as well as the operation regulation characteristics of the RDHC system. This synergetic optimization mathematical model is subsequently solved using particle swarm optimization (PSO) algorithm. Thus, an optimal hourly pump frequency ratio is obtained. A case study is performed to comprehensively compare the proposed synergetic optimal control (SOC) strategy with the conventional constant pressure difference control (CPDC) strategy. The results show that for the same load demands, the energy consumption of the pumps throughout the heating season under the SOC strategy is 62.9% lower than that under the CPDC strategy. (c) 2021 Elsevier B.V. All rights reserved.
引用
收藏
页数:14
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