Simulation of Energy Consumption and Optimization of Control Strategy of the Central Air-Conditioning System
Date Issued
2010
Date
2010
Author(s)
Kuo, Yu-Fu
Abstract
This thesis numerically investigates the power consumption of the centralized air-conditioning system under several operation strategies and then concludes a method to implement in practice. First, this study compares the performances of four updating rules of the particle swarm optimization through applying five mathematic problems. The linear-decayed inertia weight method is favorable for this study because of the stability of solutions searching. Then, four subjects, which are chiller-loading distribution, chillers and cooling towers cooperation, chilled-water and air-handler system cooperation and integrated centralized air-conditioning system operation, are specified to investigate the control strategies. The validations of the power consumption models of the air-conditioning components are accomplished. The simplified heat transfer models of cooling towers and wet finned-tube heat exchangers are also proposed and validated. The proposed simplified models can be implemented with a wide range and the predicting results are better than present models. The proposed operation strategy is optimal chilled-water supply temperature. In one sample case, the system operated under the proposed strategy can save the energy of 862.3 MW•hr and reduce the carbon-dioxide emission of 548.4 tons. The energy-saving rate can reach 14.85% compared with the energy consumption of the traditional operation strategy. The optimal chilled-water supply temperature can be correlated as a linear function of cooling load rate. Therefore, the chilled-water supply temperature can be adjusted easily and rapidly according to the system cooling load rate.
Subjects
particle swarm optimization
centralized air-conditioning system
cooling tower
wet finned-tube heat exchanger
SDGs
Type
thesis
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