Ocean thermal energy conversion (OTEC) system boosted with solar energy and TEG based on exergy and exergo-environment analysis and multi-objective optimization

被引:41
作者
Malik, Muhammad Zeeshan [1 ]
Musharavati, Farayi [2 ]
Khanmohammadi, Shoaib [3 ]
Baseri, Mohammad M. [3 ]
Ahmadi, P. [4 ,5 ]
Dinh Duc Nguyen [6 ,7 ]
机构
[1] Huaiyin Inst Technol, Fac Automat, Huaian 223003, Peoples R China
[2] Qatar Univ, Dept Mech & Ind Engn, Doha, Qatar
[3] Kermanshah Univ Technol, Dept Mech Engn, Kermanshah, Iran
[4] Ton Duc Thang Univ, Dept Management Sci & Technol Dev, Ho Chi Minh City, Vietnam
[5] Ton Duc Thang Univ, Fac Civil Engn, Ho Chi Minh City, Vietnam
[6] Duy Tan Univ, Inst Res & Dev, Da Nang 550000, Vietnam
[7] Kyonggi Univ, Dept Environm Energy Engn, Suwon 16227, South Korea
关键词
Hot and cold source; Environment; Improvement potential; Exergy; Optimization; HYDROGEN-PRODUCTION;
D O I
10.1016/j.solener.2020.07.049
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
The primary goal of the current study is thermodynamic and environmental modeling and multi-objective optimization of a new hybrid energy system. The suggested ocean-based energy conversion system consists of an organic Rankine cycle (ORC), a solar flat plate collector, a proton exchange membrane (PEM) electrolyzer boosted with thermoelectric generator (TEG) module. Exergy and exergo-environmental as two powerful tools are employed to the precise assessment of the suggested system. To achieve the best performance of the integrated system, multi-criteria optimization with different objective functions is carried out. As the results of the parametric analysis indicate, defined objective goals have an appropriate conflict with changing decision variables, which is necessary in multi-criteria optimization. Four decision variables namely solar flat plate collector area (A(p)), solar radiation intensity (I), collector temperature (T-col), and condenser temperature (T-cond) are chosen as decision variables. In all optimization scenarios, the net output power is common, which is based on the selected optimum points value changing between 201.02 kW and 268.17 kW. Additionally, in various optimization scenarios, the area of solar flat plate collectors tends to get a higher value in the allowable domain. The provided information in multi-objective optimization can provide good insight to engineers and system designers to select the best system configuration.
引用
收藏
页码:559 / 572
页数:14
相关论文
共 31 条
  • [1] Performance Assessment of a Novel Solar and Ocean Thermal Energy Conversion Based Multigeneration System for Coastal Areas
    Ahmadi, Pouria
    Dincer, Ibrahim
    Rosen, Marc A.
    [J]. JOURNAL OF SOLAR ENERGY ENGINEERING-TRANSACTIONS OF THE ASME, 2015, 137 (01):
  • [2] Energy and exergy analyses of hydrogen production via solar-boosted ocean thermal energy conversion and PEM electrolysis
    Ahmadi, Pouria
    Dincer, Ibrahim
    Rosen, Marc A.
    [J]. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2013, 38 (04) : 1795 - 1805
  • [3] Efficient and cost-effective district heating system with decentralized heat storage units, and triple-pipes
    Alsagri, Ali Sulaiman
    Arabkoohsar, Ahmad
    Khosravi, Milad
    Alrobaian, Abdulrahman A.
    [J]. ENERGY, 2019, 188
  • [4] Modelling and multi-objective optimization of a variable valve-timing spark-ignition engine using polynomial neural networks and evolutionary algorithms
    Atashkari, K.
    Nariman-Zadeh, N.
    Golcu, M.
    Khalkhali, A.
    Jamali, A.
    [J]. ENERGY CONVERSION AND MANAGEMENT, 2007, 48 (03) : 1029 - 1041
  • [5] Avery W.H., 1994, Renewable Energy from the Ocean: A Guide to OTEC
  • [6] Cengel YA, 2015, THERMODYNAMICS ENG A
  • [7] Circulation O., 1997, OCEAN THERMAL ENERGY, P1993
  • [8] Dincer H, 2017, CONTRIB MANAG SCI, P1, DOI 10.1007/978-3-319-47172-3
  • [9] Dincer I, 2013, EXERGY ENERGY ENV SU
  • [10] Multi-objective optimization of a stand-alone hybrid renewable energy system by using evolutionary algorithms: A review
    Fadaee, M.
    Radzi, M. A. M.
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2012, 16 (05) : 3364 - 3369