Exergoeconomic, exergoenvironmental analysis and multi-objective optimization of a novel combined cooling, heating and power system for liquefied natural gas cold energy recovery

被引:49
作者
Fang, Zhenhua [1 ]
Pan, Zhen [1 ]
Ma, Guiyang [1 ]
Yu, Jingxian [2 ]
Shang, Liyan [3 ]
Zhang, Zhien [4 ]
机构
[1] Liaoning Petrochem Univ, Coll Petr Engn, Fushun 113001, Peoples R China
[2] Liaoning Petrochem Univ, Coll Sci, Fushun 113001, Peoples R China
[3] Liaoning Petrochem Univ, Coll Environm & Safety Engn, Fushun 113001, Peoples R China
[4] West Virginia Univ, Dept Chem & Biomed Engn, 401 Evansdale Dr, Morgantown, WV 26506 USA
关键词
Liquefied natural gas cold energy; Three -stage organic Rankine cycle; Double organic flash cycle; Exergoeconomic analysis; Exergoenvironmental analysis; Multi -objective optimization; ORGANIC RANKINE-CYCLE; UTILIZING LNG; THERMOECONOMIC ANALYSIS; GENERATION SYSTEM; CCHP SYSTEM; FLASH CYCLE; EXERGY; PERFORMANCE; DESIGN; ORC;
D O I
10.1016/j.energy.2023.126752
中图分类号
O414.1 [热力学];
学科分类号
摘要
This paper designs and investigates a novel combined cooling, heating, and power (CCHP) system for effectively utilizing liquefied natural gas (LNG) cold energy and waste heat of exhaust gas based on thermodynamic, exergoeconomic and exergoenvironmental analysis. The effects of the mass flow rate of the ORC-I's working fluid, turbine 1 inlet temperature, compressor and pump outlet pressure and the turbines' isentropic efficiency on the system performance were investigated. In addition, the non-dominated sorting genetic algorithm II (NSGA-II) and the particle swarm optimization (PSO) were employed to optimize the CCHP system with multiple objectives, respectively, to find the optimal operating conditions of the system. The optimization results showed PSO was superior for the multi-objective optimization of this novel CCHP system compared to NSGA-II, showing the exergy efficiency, product unit cost and product unit environmental impact of 70.20%, 21.50 $/GJ and 57.91 mPts/GJ, respectively.
引用
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页数:14
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