Multi-objective optimization of a multi water-to-water heat pump system using evolutionary algorithm
Multi-objective optimization of a multi water-to-water heat pump system using evolutionary algorithm
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DOI：
10.1016/j.apenergy.2011.04.013
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发表时间：
2011-11
期刊：
影响因子：
11.2
通讯作者：
R. Murr;H. Thieriot;A. Zoughaib;D. Clodic
中科院分区：
文献类型：
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作者：
R. Murr;H. Thieriot;A. Zoughaib;D. Clodic
本文论述了乳品工业中的能量回收。本文研究了三种水-水热泵的热力学、经济性和环境优化，以完全或部分取代干酪厂中用于在不同温度水平下产生热量的燃料锅炉。这些热泵的蒸发器连接到一个流出物源，其中两个在冷凝器侧配备有储罐。多目标优化允许最佳再分配的质量流量的流出物和最佳选择的压缩机和存储罐的体积的电功率。热力学目标是以整个系统的火用损失为基础。经济目标是基于热泵系统的投资成本和运行成本。通过考虑对温室气体排放征收CO2税（碳税），已确定环境影响目标，并以成本表示。这一目标已与经济目标相结合。多目标遗传算法用于Pareto逼近优化。
This paper deals with the energy recovery in the dairy industry. Thermodynamic, economic and environmental optimization of three water-to-water heat pumps has been studied in order to replace totally or partially a fuel boiler used to produce heat at different temperature levels in a cheese factory. These heat pumps have their evaporators connected to one effluents source and two of them are equipped by storage tanks at the condenser side. Multi-objective optimization permits optimal repartition of mass flow rates of effluents and optimal choice of electrical power of the compressors and volumes of storage tanks. The thermodynamic objective is based on the exergy destruction in the whole system. The economic objective is based on the investment cost and the operating cost obtained with the heat pump system. The environmental impact objective has been defined and expressed in cost terms by considering a CO2taxation (carbon tax) on the GHG emissions. This objective has been integrated with the economic objective. Multi-objective genetic algorithms are used for Pareto approach optimization.