Sensitivity analysis and thermoeconomic comparison of ORCs (organic Rankine cycles) for low temperature waste heat recovery
Sensitivity analysis and thermoeconomic comparison of ORCs (organic Rankine cycles) for low temperature waste heat recovery
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DOI：
10.1016/j.energy.2015.01.075
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发表时间：
2015-03-15
期刊：
影响因子：
9
通讯作者：
Shi, Yang
中科院分区：
文献类型：
--
作者：
Feng, Yongqiang;Zhang, Yaning;Shi, Yang
本文采用非支配排序遗传算法（NSGA-II）对低温有机朗肯循环（ORC）进行了敏感性分析，并对碱性ORC和再生型ORC进行了热经济性比较。利用系统5个参数对系统性能的导数来评价系统参数的灵敏度。选取低温热源为423 K时，以R123为目标函数，以火用效率和单位净功率输出换热面积APR为目标函数进行多目标优化。得到了具有最大火用效率和最小APR的双目标Pareto边界解，并与相应的单目标解进行了比较。结果表明，提高蒸发器热效率和火用效率的首要考虑是提高蒸发器出口温度。在帕累托边界上可以得到热力学性能与经济因素之间的拟合曲线。利用pareto最优解获得的蓄热式ORC的最优火用效率和APR分别为59.93%和3.07 m(2)/kW，分别比碱性ORC高8.10%和低15.89%。帕累托优化在热力学性能和经济因素上妥协，因此更适合于决策。(C) 2015 Elsevier Ltd.版权所有。
The sensitivity analysis for low temperature ORCs (organic Rankine cycles), as well as the thermoeconomic comparison between the basic ORC and regenerative ORC using Non-dominated sorting genetic algorithm-II (NSGA-II), are conducted in this paper. The derivatives of five system parameters on system performance are used to evaluate the parametric sensitiveness. The exergy efficiency and the APR (heat exchanger area per unit net power output) are selected as the objective functions for multi-objective optimization using R123 under the low temperature heat source of 423 K. The Pareto frontier solution with bi-objective for maximizing exergy efficiency and minimizing APR is obtained and compared with the corresponding single-objective solutions. The results indicate that the prior consideration of improving thermal efficiency and exergy efficiency is to increase the evaporator outlet temperature. A fitting curve can be yielded from the Pareto frontier between the thermodynamic performance and economic factor. The optimum exergy efficiency and APR of the regenerative ORC obtained from the Pareto-optimal solution are 59.93% and 3.07 m(2)/kW, which are 8.10% higher and 15.89% lower than that of the basic ORC, respectively. The Pareto optimization compromises the thermodynamic performance and economic factor, therefore being more suitable for decision making. (C) 2015 Elsevier Ltd. All rights reserved.