Multi-objective optimization of an organic Rankine cycle (ORC) for low grade waste heat recovery using evolutionary algorithm

被引:207
作者
Wang, Jiangfeng [1 ]
Yan, Zhequan [1 ]
Wang, Man [1 ]
Li, Maoqing [1 ]
Dai, Yiping [1 ]
机构
[1] Xi An Jiao Tong Univ, Inst Turbomachinery, Sch Energy & Power Engn, Xian 710049, Peoples R China
基金
中国国家自然科学基金;
关键词
ORC; Multi-objective optimization; Low grade waste heat; Genetic algorithm; PARAMETRIC OPTIMIZATION; PERFORMANCE ANALYSIS; POWER-PLANT; REFRIGERANT R-134A; PRESSURE-DROP; GENERATION; EXCHANGER; DESIGN;
D O I
10.1016/j.enconman.2013.03.028
中图分类号
O414.1 [热力学];
学科分类号
摘要
Organic Rankine cycle (ORC) can effectively recover low grade waste heat due to its excellent thermodynamic performance. Based on the examinations of the effects of key thermodynamic parameters on the exergy efficiency and overall capital cost, multi-objective optimization of the ORC with R134a as working fluid is conducted to achieve the system optimization design from both thermodynamic and economic aspects using Non-dominated sorting genetic algorithm-II (NSGA-II). The exergy efficiency and overall capital cost are selected as two objective functions to maximize the exergy efficiency and minimize the overall capital cost under the given waste heat conditions. Turbine inlet pressure, turbine inlet temperature, pinch temperature difference, approach temperature difference and condenser temperature difference are selected as the decision variables owing to their significant effects on the exergy efficiency and overall capital cost. A Pareto frontier obtained shows that an increase in the exergy efficiency can increase the overall capital cost of the ORC system. The optimum design solution with their corresponding decision variables is selected from the Pareto frontier. The optimum exergy efficiency and overall capital cost are 13.98% and 129.28 x 10(4) USD, respectively, under the given waste heat conditions. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:146 / 158
页数:13
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