Multi-Objective Optimization and Fluid Selection of Different Cogeneration of Heat and Power Systems Based on Organic Rankine Cycle

被引：11
作者：
Teng, Shiyang [1 ]
Feng, Yong-Qiang [2 ]
Hung, Tzu-Chen [3 ]
Xi, Huan [1 ]
机构：
[1] Xi An Jiao Tong Univ, Sch Energy & Power Engn, Minist Educ, Key Lab Thermofluid Sci & Engn, Xian 710049, Peoples R China
[2] Jiangsu Univ, Sch Energy & Power Engn, Zhenjiang 212013, Jiangsu, Peoples R China
[3] Natl Taipei Univ Technol, Dept Mech Engn, Taipei 10607, Taiwan
来源：
ENERGIES | 2021年 / 14卷 / 16期
基金：
中国国家自然科学基金;
关键词：
combined heat and power (CHP); organic Rankine cycle (ORC); multi-objective optimization; working fluid selection; system comparison; WORKING-FLUID; PARAMETRIC OPTIMIZATION; ORC; RECOVERY; PERFORMANCE; R245FA; DESIGN; MIXTURES; EXERGY; WATER;
D O I：
10.3390/en14164967
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
Cogeneration of heat and power systems based on the organic Rankine cycle (ORC-CHP) has been proven to be an effective way to utilize waste heat at medium and low temperatures. In this work, three ORC-CHP (combined heat and power based on organic Rankine cycle) systems are simulated and compared, including the SS (serial system), the CS (the condensation system), and the SS/CS. The multi-objective genetic algorithm (MOGA) is used to optimize the three systems respectively to achieve higher exergy efficiency and profit ratio of investment (PRI). The optimal thermal-economic performance is obtained. Twelve organic fluids are adopted to evaluate their performance as working fluids. The calculation results show that SS has the highest exergy efficiency, while SS/CS has the best economic performance. Compared with the highest exergy efficiency of SS and the best economic performance of SS/CS, CS will be the optimal solution considering these two objective functions. Under the optimal working conditions, SS has the highest thermal efficiency because it has the highest net power output. The components with the largest proportion of exergy destruction are the heat exchangers, which also has the highest cost.
引用
收藏
页数：22
相关论文
共 48 条
[1]   Hot water storage for increased electricity production with organic Rankine cycle from intermittent residual heat sources in the steel industry [J].
Couvreur, Kenny ;
Beyne, Wim ;
De Paepe, Michel ;
Lecompte, Steven .
ENERGY, 2020, 200
[2]   Parametric optimization and comparative study of organic Rankine cycle (ORC) for low grade waste heat recovery [J].
Dai, Yiping ;
Wang, Jiangfeng ;
Gao, Lin .
ENERGY CONVERSION AND MANAGEMENT, 2009, 50 (03) :576-582
[3]   Selection of Optimum Working Fluid for Organic Rankine Cycles by Exergy and Exergy-Economic Analyses [J].
Darvish, Kamyar ;
Ehyaei, Mehdi A. ;
Atabi, Farideh ;
Rosen, Marc A. .
SUSTAINABILITY, 2015, 7 (11) :15362-15383
[4]   Preliminary assessment of solar organic Rankine cycles for driving a desalination system [J].
Delgado-Torres, Agustin M. ;
Garcia-Rodriguez, Lourdes .
DESALINATION, 2007, 216 (1-3) :252-275
[5]  
Dincer I., 2001, Entropy, V3, DOI 10.3390/e3030116
[6]   Advanced ORC architecture for geothermal combined heat and power generation [J].
Eyerer, Sebastian ;
Dawo, Fabian ;
Wieland, Christoph ;
Spliethoff, Hartmut .
ENERGY, 2020, 205
[7]   Performance prediction and optimization of an organic Rankine cycle (ORC) for waste heat recovery using back propagation neural network [J].
Feng, Yong-qiang ;
Liu, Yu-Zhuang ;
Wang, Xin ;
He, Zhi-Xia ;
Hung, Tzu-Chen ;
Wang, Qian ;
Xi, Huan .
ENERGY CONVERSION AND MANAGEMENT, 2020, 226
[8]   Evaluation of isopentane, R-245fa and their mixtures as working fluids for organic Rankine cycles [J].
Garg, Pardeep ;
Kumar, Pramod ;
Srinivasan, Kandadai ;
Dutta, Pradip .
APPLIED THERMAL ENGINEERING, 2013, 51 (1-2) :292-300
[9]   Many-Objective Evolutionary Algorithm: Objective Space Reduction and Diversity Improvement [J].
He, Zhenan ;
Yen, Gary G. .
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2016, 20 (01) :145-160
[10]   Five thermal energy grand challenges for decarbonization [J].
Henry, Asegun ;
Prasher, Ravi ;
Majumdar, Arun .
NATURE ENERGY, 2020, 5 (09) :635-637
12345