Global Optimization of Large Scale HVAC System
发布时间:2024-08-09
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- 所属单位:
- 建筑设备科学与工程学院
- 发表刊物:
- The 29th Chinese Control Conference
- 关键字:
- 中文关键字:无,英文关键字:Global optimization, Steady state, Large scale sys
- 摘要:
- A large-scale Variable Air Volume (VAV) air-conditioning system composed of several subsystems is established. It’s a multi-variable, strongly coupled, time variant, nonlinear and large time delay system. The system is wholly analyzed with large-scale system theory(LSST) in this paper. Iterative learning control (ILC) is adopted to solve the problems of long steady-state time and large overshoot when set-points change. The system is divided based on “decomposition and coordination” strategy. Decentralized steady-state and energy consumption models are built for global optimal control. For the evaluation of the large scale hierarchical control system theory, ILC and steady-state optimization strategy (LSHC-ILC-SO), a case is studied on the VAV experimental platform. The results show that all devices work under coordinated conditions with coordination strategy under variable loads. The global steady state optimization can reduce the total energy consumption.
- 备注:
- 闫秀英
- 合写作者:
- 孟庆龙
- 第一作者:
- 任庆昌,闫秀英
- 论文类型:
- 期刊论文
- 卷号:
- 卷:
- 期号:
- 期:
- 页面范围:
- 页:1038-1043
- 是否译文:
- 否
- 发表时间:
- 2010-07-01