An Optimum Control Method for HVAC Systems with Double Circuit Cooling Coil Using Particle Swarm Optimization Algorithm. (2017)

• Record Type: Journal Article
• Authors: Yu, Meng; Chen, Qinglong; Zhang, Xuejun; Zhao, Yang; Wang, Yilin; Zheng, Youming
• Is Part Of: Procedia engineering. Volume 205(2017)
• Page Start: 2273
• Page End: 2280
• Publication Date: 2017
• Subjects: HVAC -- Double circuit cooling coil -- Particle swarm optimization -- Optimum -- Energy saving; Engineering -- Congresses; Engineering -- Periodicals; Engineering; Conference proceedings; Periodicals; 620.005
• DOI: 10.1016/j.proeng.2017.10.078
• Languages: English
• ISSNs: 1877-7058

Abstract

Abstract: Double circuit cooling coil (DCCC) is a special type of coil which could adjust the chilled water flow rate and the chilled water temperature independently. In this study, a particle swarm optimization (PSO)-based method is proposed to optimize the chilled water flow rate and the chilled water temperature. A test HVAC system with DCCC is constructed in laboratory firstly. The system is modeled by first principles, including a coil model, a heater model and a humidifier model. The parameters of the models are calibrated using measurements from the real system. Results show that the simulated data fit the experimental data very well. The real-time optimal parameters for controlling the DCCC are obtained using PSO-based method. The energy performance of the PSO-based method is analyzed. The most significant energy saving potentials could be obtained with energy saving potentials above 60% under high-sensible heat loads and low-latent heat loads.