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:40
作者:
Fang, Zhenhua
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Liaoning Petrochem Univ, Coll Petr Engn, Fushun 113001, Peoples R ChinaLiaoning Petrochem Univ, Coll Petr Engn, Fushun 113001, Peoples R China
Fang, Zhenhua
[1
]
Pan, Zhen
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Liaoning Petrochem Univ, Coll Petr Engn, Fushun 113001, Peoples R ChinaLiaoning Petrochem Univ, Coll Petr Engn, Fushun 113001, Peoples R China
Pan, Zhen
[1
]
Ma, Guiyang
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Liaoning Petrochem Univ, Coll Petr Engn, Fushun 113001, Peoples R ChinaLiaoning Petrochem Univ, Coll Petr Engn, Fushun 113001, Peoples R China
Ma, Guiyang
[1
]
Yu, Jingxian
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Liaoning Petrochem Univ, Coll Sci, Fushun 113001, Peoples R ChinaLiaoning Petrochem Univ, Coll Petr Engn, Fushun 113001, Peoples R China
Yu, Jingxian
[2
]
Shang, Liyan
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Liaoning Petrochem Univ, Coll Environm & Safety Engn, Fushun 113001, Peoples R ChinaLiaoning Petrochem Univ, Coll Petr Engn, Fushun 113001, Peoples R China
Shang, Liyan
[3
]
Zhang, Zhien
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West Virginia Univ, Dept Chem & Biomed Engn, 401 Evansdale Dr, Morgantown, WV 26506 USALiaoning Petrochem Univ, Coll Petr Engn, Fushun 113001, Peoples R China
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
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.
机构:
School of Control Science and Engineering,Shandong University
Shandong Computer Science Center (National Supercomputer Center in Jinan)School of Control Science and Engineering,Shandong University
Feng Zhao
Chenghui Zhang
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School of Control Science and Engineering,Shandong UniversitySchool of Control Science and Engineering,Shandong University
Chenghui Zhang
Bo Sun
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机构:
School of Control Science and Engineering,Shandong UniversitySchool of Control Science and Engineering,Shandong University