Multi-objective metaheuristic optimization of combined flash-binary geothermal and humidification dehumidification desalination systems

被引:49
|
作者
Kolahi, Mohammad-Reza [1 ,2 ]
Amidpour, Majid [1 ,3 ]
Yari, Mortaza [2 ]
机构
[1] Niroo Res Inst, Energy & Environm Res Ctr, Tehran, Iran
[2] Univ Tabriz, Fac Mech Engn, Tabriz, Iran
[3] Khajeh Nasir Toosi Univ Technol, Fac Mech Engn, Tehran, Iran
基金
英国医学研究理事会;
关键词
Sabalan geothermal power plant; Humidification dehumidification desalination (HDH); Organic Rankine Cycle (ORC); Zeotropic mixtures; Particle swarm optimization (PSO); Multi-objective optimization (MOPSO); ORGANIC RANKINE-CYCLE; THERMODYNAMIC ANALYSIS; ZEOTROPIC MIXTURES; POWER-PLANTS; MULTIGENERATION SYSTEM; HYDROGEN-PRODUCTION; PARTICLE SWARM; HEAT-SOURCE; ENERGY; ORC;
D O I
10.1016/j.desal.2020.114456
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
This paper proposes two configurations of combined flash-binary geothermal systems for simultaneous power production and water purification. The binary cycles which are combined together in "Series" and "Parallel" configurations are Organic Rankin Cycle (ORC) and Humidification Dehumidification (HDH) desalination system. Some zeotropic mixtures are also utilized as the working fluids of the ORC unit. Based on the thermodynamic analysis, a single-objective Particle Swarm Optimization (PSO), and then a multi-objective Particle Swarm Optimization (MOPSO) are performed on the systems whose two objectives are total output work, (W)over dot(tot), and produced freshwater, (m)over dot(pw). The single-objective optimization results show that the utilization of the zeotropic mixtures in both of the configurations gives higher output work. However, although the use of zeotropic mixtures does not affect the Parallel system's water purification, it leads to lower freshwater production in the Series system. The maximum amounts of (W)over dot(tot), and (m)over dot(pw) in the single-objective optimization are 5.72 (MW) and 3.93 (kg/s), which are obtained from the Series and the Parallel configurations respectively. The multi-objective optimization, however, gives more reliable outcomes. According to the results of the MOPSO algorithm, the maximum amount of the 1st optimization objective, (W)over dot(tot), for both systems, is 5.87 (MW) and also the maximum value of the 2nd objective, (W)over dot(pw), for both configurations is 11.42 (kg/s). On the other hand, the multi-objective optimization demonstrates that the Series configuration has a better performance than the Parallel system.
引用
收藏
页数:12
相关论文
共 50 条
  • [1] Multi-objective Optimization of a Solar Humidification Dehumidification Desalination Unit
    Rafigh, M.
    Mirzaeian, M.
    Najafi, B.
    Rinaldi, F.
    Marchesi, R.
    35TH UIT HEAT TRANSFER CONFERENCE (UIT2017), 2017, 923
  • [2] Exergoeconomic analysis and multi-objective optimization of a novel combined flash-binary cycle for Sabalan geothermal power plant in Iran
    Aali, A.
    Pourmahmoud, N.
    Zare, V.
    ENERGY CONVERSION AND MANAGEMENT, 2017, 143 : 377 - 390
  • [3] Comprehensive analysis and multi-objective optimization of power and cooling production system based on a flash-binary geothermal system
    Pan, Dong
    Farkoush, Saeid Gholami
    APPLIED THERMAL ENGINEERING, 2023, 229
  • [4] Comprehensive analysis and multi-objective optimization of a power and hydrogen production system based on a combination of flash-binary geothermal and PEM electrolyzer
    Fan, Guangli
    Yang, Boyuan
    Guo, Peixi
    Lin, Shuchao
    Farkoush, Saeid Gholami
    Afshar, Nima
    INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2021, 46 (68) : 33718 - 33737
  • [5] Design methodology based on multi-objective optimization with evolutionary algorithms for humidification-dehumidification desalination systems using updated approaches
    Rojas, Geosvanis Boligan
    Gurrola, Ana C. Melendez
    Rodriguez, Roberto Perez
    Varela, Carlos Alberto Trinchet
    Rondon, Ricardo L. Avila
    DESALINATION AND WATER TREATMENT, 2024, 317
  • [6] Comprehensive economic analysis and multi-objective optimization of an integrated power and freshwater generation cycle based on flash-binary geothermal and gas turbine cycles
    Zhang, Le
    Sobhani, Behnam
    JOURNAL OF CLEANER PRODUCTION, 2022, 364
  • [7] Thermoeconomic analysis and multi-objective optimization of a novel trigeneration system consisting of kalina and humidification-dehumidification desalination cycles
    Behnam, Pooria
    Faegh, Meysam
    Fakhari, Iman
    Ahmadi, Pouria
    Faegh, Ehsan
    Rosen, Marc A.
    JOURNAL OF THERMAL ENGINEERING, 2022, 8 (01): : 52 - 66
  • [8] Exergoeconomic analysis and optimization of a flash-binary geothermal power system
    Zhao, Yajing
    Wang, Jiangfeng
    APPLIED ENERGY, 2016, 179 : 159 - 170
  • [9] Performance enhancement and multi-objective optimization of a double-flash binary geothermal power plant
    Parikhani, Towhid
    Delpishehb, Mostafa
    Haghghi, Maghsoud Abdollahi
    Holagh, Shahriyar Ghazanfari
    Athari, Hassan
    ENERGY NEXUS, 2021, 2
  • [10] Development and multiobjective optimization of an integrated flash-binary geothermal power plant with reverse osmosis desalination and absorption refrigeration for multi-generation
    Gnaifaid, Hamoda
    Ozcan, Hasan
    GEOTHERMICS, 2021, 89