Optimization of a hybrid ejector air conditioning system with PSOGA

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• 作者：Hao Wang ^{wang0818@e.ntu.edu.sg} ; Wenjian Cai ; ^{ewjcai@ntu.edu.sg} ; Youyi Wang ^{eyywang@ntu.edu.sg}
• 关键词：Ejector ; Optimization ; Particle swarm optimization ; Genetic algorithm ; Energy saving
• 刊名：Applied Thermal Engineering
• 出版年：2017
• 出版时间：5 February 2017
• 年：2017
• 卷：112
• 期：Complete
• 页码：1474-1486
• 全文大小：1302 K
• 卷排序：112

文摘

We formulate the model-based optimization strategy for a hybrid ejector-based air-conditioning system. The hybrid model for component energy consumption is developed with experimental validation. We proposed a PSOGA optimization approach with solution strategy to obtain the optimal set point. The comparison result shows a better performance of PSOGA than on-off with more energy saving achieved.