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 [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
收藏
页数:14
相关论文
共 50 条
  • [41] A Hybrid Algorithm Based on Simplified Swarm Optimization for Multi-Objective Optimizing on Combined Cooling, Heating and Power System
    Yeh, Wei-Chang
    Zhu, Wenbo
    Peng, Yi-Fan
    Huang, Chia-Ling
    APPLIED SCIENCES-BASEL, 2022, 12 (20):
  • [42] Thermodynamic analysis and multi-objective optimization of a novel power generation system driven by geothermal energy
    Yu, Zeting
    Su, Ruizhi
    Feng, Chunyu
    ENERGY, 2020, 199
  • [44] Multi-objective assessment, optimization and application of a grid-connected combined cooling, heating and power system with compressed air energy storage and hybrid refrigeration
    Jiang, Runhua
    Yin, Huibin
    Chen, Baiman
    Xu, Yongjun
    Yang, Minlin
    Yang, Xiaoxi
    ENERGY CONVERSION AND MANAGEMENT, 2018, 174 : 453 - 464
  • [45] Novel supercritical CO2-Based Low-Carbon multigeneration System: Multi-Objective optimization for combined Power, Cooling, Heating, and desalination
    Yousef, Mohamed S.
    Santana, Domingo
    ENERGY CONVERSION AND MANAGEMENT-X, 2024, 23
  • [46] Multi-objective optimisation of a novel combined cooling, heating and power system integrated with flat plate solar collectors using water/CuO nanofluid
    Boyaghchi, Fateme Ahmadi
    Montazerinejad, Hadis
    INTERNATIONAL JOURNAL OF EXERGY, 2016, 21 (02) : 202 - 238
  • [47] Performance Analysis and Optimization of a Novel Combined Cooling, Heating, and Power System-Integrated Rankine Cycle and Brayton Cycle Utilizing the Liquified Natural Gas Cold Energy
    Sun, Wenyi
    Shang, Liyan
    Pan, Zhen
    Liu, Peisheng
    Cui, Xinshuo
    Zhu, Jian
    Sun, Xiangguang
    ENERGY TECHNOLOGY, 2022, 10 (11)
  • [48] Energy, exergy, and exergoeconomic analysis and multi-objective optimization of a novel geothermal driven power generation system of combined transcritical CO2 and C5H12 ORCs coupled with LNG stream injection
    Dezfouli, Amir Hossein Mardan
    Niroozadeh, Narjes
    Jahangiri, Ali
    ENERGY, 2023, 262
  • [49] Initiative Optimization Operation Strategy and Multi-objective Energy Management Method for Combined Cooling Heating and Power
    Zhao, Feng
    Zhang, Chenghui
    Sun, Bo
    IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2016, 3 (04) : 385 - 393
  • [50] Initiative Optimization Operation Strategy and Multi-objective Energy Management Method for Combined Cooling Heating and Power
    Feng Zhao
    Chenghui Zhang
    Bo Sun
    IEEE/CAA Journal of Automatica Sinica, 2016, 3 (04) : 385 - 393