Assessment and optimization of an integrated wind power system for hydrogen and methane production

被引:106
作者
Safari, Farid [1 ]
Dincer, Ibrahim [1 ]
机构
[1] Univ Ontario Inst Technol, Fac Engn & Appl Sci, 2000 Simcoe St North, Oshawa, ON L1H 7K4, Canada
关键词
Hydrogen; Methane; Wind energy; Energy storage; Multi-objective optimization; EXERGY ANALYSIS; CARBON-DIOXIDE; TO-METHANE; ENERGY; MEMBRANE; CO2;
D O I
10.1016/j.enconman.2018.09.071
中图分类号
O414.1 [热力学];
学科分类号
摘要
Electricity generation via renewable energy systems can be fed into the electrical grid when it is needed or stored when it is excessive. This is important for demand management. In this regard, power to gas technology (PTG) is recognized as a potential option for an efficiently, environmentally friendly and long-term storage solution for renewable energy systems. An integrated wind power system comprised of wind turbine, proton exchange membrane (PEM) electrolyzer and a methanation unit is considered in this study for thermodynamic analyses. The energy and exergy efficiencies of the overall developed system are found to be 44% and 45%, respectively. The methanation unit works based on the Sabatier reaction for synthetic natural gas (SNG) production. A steam perm-selective membrane is considered for methanation and the products are integrated with other parts of the system for heat recovery. An increase in the wind speed results in a decrease in the exergetic efficiency and an increase in hydrogen and methane production. Hence, multi-objective optimization method based on genetic algorithm is employed to determine the optimal values for the decision variables. The exergetic efficiency of the overall system is 41%, and hence, the CH4 production by the present system is 1.68 kg/h which are found to be the optimal values where the wind velocity is 4.33 m/s, and the power coefficient becomes 0.57, respectively.
引用
收藏
页码:693 / 703
页数:11
相关论文
共 32 条
  • [1] [Anonymous], 2003, STAND ALONE WIND ENE, P17
  • [2] Bejan A., 1995, Thermal design and optimization
  • [3] Bullis Kevin., 2013, MIT Technology Review
  • [4] Techno-economic assessment of power-to-methane and power-to-syngas business models for sustainable carbon dioxide utilization in coal-to-liquid facilities
    Chiuta, Steven
    Engelbrecht, Nicolaas
    Human, Gerhard
    Bessarabov, Dmitri G.
    [J]. JOURNAL OF CO2 UTILIZATION, 2016, 16 : 399 - 411
  • [5] Opportunities and challenges for a sustainable energy future
    Chu, Steven
    Majumdar, Arun
    [J]. NATURE, 2012, 488 (7411) : 294 - 303
  • [6] Optimal year-round operation for methane production from CO2 and water using wind energy
    Davis, William
    Martin, Mariano
    [J]. ENERGY, 2014, 69 : 497 - 505
  • [7] Parametric study of an efficient renewable power-to-substitute-natural-gas process including high-temperature steam electrolysis
    De St Jean, Myriam
    Baurens, Pierre
    Bouallou, Chakib
    [J]. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2014, 39 (30) : 17024 - 17039
  • [8] A fast and elitist multiobjective genetic algorithm: NSGA-II
    Deb, K
    Pratap, A
    Agarwal, S
    Meyarivan, T
    [J]. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2002, 6 (02) : 182 - 197
  • [9] Dincer I, 2013, EXERGY ENERGY ENV SU
  • [10] Dincer I, 2017, Optimization of Energy Systems, DOI DOI 10.1002/9781118894484