Multi-objective optimisation of a power generation system integrating solid oxide fuel cell and recuperated supercritical carbon dioxide cycle

被引:8
|
作者
Roy, Dibyendu [1 ]
Samanta, Samiran [1 ]
Roy, Sumit [1 ]
Smallbone, Andrew [1 ]
Roskilly, Anthony Paul [1 ]
机构
[1] Univ Durham, Dept Engn, Durham DH1 3LE, England
基金
英国工程与自然科学研究理事会;
关键词
Response surface methodology; SOFC; Supercritical CO 2 cycle; Hydrogen; Multi-objective optimisation; Waste heat recovery; EXERGY ANALYSIS; TEMPERATURE; ENERGY; PLANT; SOFC;
D O I
10.1016/j.energy.2023.128158
中图分类号
O414.1 [热力学];
学科分类号
摘要
This article presents an advanced power generation system that integrates a solid oxide fuel cell (SOFC) module with a recuperated supercritical CO2 (s-CO2) cycle. The waste heat generated by the exhaust of the SOFC module is utilised to drive the s-CO2 cycle, resulting in enhanced energy efficiency. The performance of the system was investigated through thermodynamic and economic analyses and optimised using response surface methodology. The optimisation process focused on two objectives: maximising the energy efficiency of the integrated system and minimising the levelised cost of electricity. The study meticulously analysed the effects of important variables such as current density, fuel utilisation factor, and operating temperature of the fuel cell. The optimisation efforts yielded impressive results, achieving an energy efficiency of 64% and a levelised cost of electricity (LCOE) of 0.18 & POUND;/kWh. The proposed system surpassed traditional natural gas-fuelled power plants in terms of efficiency and specific emissions. Furthermore, the system's performance was evaluated when operated with green hydrogen fuel, which led to a substantial improvement in efficiency, estimated at 73.37%. However, it was found that the LCOE of the system is relatively higher and approximately 15% higher than the methane-based alternative.
引用
收藏
页数:14
相关论文
共 50 条
  • [21] Multi-objective optimal droop control of solid oxide fuel cell based integrated energy system
    Zhou, Yujie
    Hua, Qingsong
    Liu, Ping
    Sun, Li
    INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2023, 48 (30) : 11382 - 11389
  • [22] Multi-objective optimization of a clean combined system based gasifier-solid oxide fuel cell
    Zhou, Zongming
    Dhahad, Hayder A.
    Almohana, Abdulaziz Ibrahim
    Almojil, Sattam Fahad
    Alali, Abdulrhman Fahmi
    Anqi, Ali E.
    Rajhi, Ali A.
    Alamri, Sagr
    INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2022, 47 (43) : 18648 - 18662
  • [23] Multi-objective optimisation analysis and load matching of a phosphoric acid fuel cell system
    Zhang, Houcheng
    Lin, Guoxing
    Chen, Jincan
    INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2012, 37 (04) : 3438 - 3446
  • [24] A multi-objective optimisation model for a general polymer electrolyte membrane fuel cell system
    Ang, Sheila Mae C.
    Brett, Daniel J. L.
    Fraga, Eric S.
    JOURNAL OF POWER SOURCES, 2010, 195 (09) : 2754 - 2763
  • [25] Performance analysis and multi-objective optimization of a combined system of Brayton cycle and compression energy storage based on supercritical carbon dioxide
    Lu, Mengqi
    Du, Yadong
    Yang, Ce
    Zhang, Zhiqiang
    Wang, Haimei
    Sun, Shijun
    APPLIED THERMAL ENGINEERING, 2024, 236
  • [26] Performance evaluation and multi-objective optimization for a direct ammonia solid oxide fuel cell-based triple-cycle integrated system providing power and cooling
    Han, Yuan
    Gao, Wenzhi
    Qin, Yanzhou
    APPLIED THERMAL ENGINEERING, 2025, 266
  • [27] Multi-objective optimization for an integrated renewable, power-to-gas and solid oxide fuel cell/gas turbine hybrid system in microgrid
    Ding, Xiaoyi
    Sun, Wei
    Harrison, Gareth P.
    Lv, Xiaojing
    Weng, Yiwu
    ENERGY, 2020, 213 (213)
  • [28] Robust Multi-Objective Optimization of Solid Oxide Fuel Cell-Gas Turbine Hybrid Cycle and Uncertainty Analysis
    Sharma, Shivom
    Marechal, Francois
    JOURNAL OF ELECTROCHEMICAL ENERGY CONVERSION AND STORAGE, 2018, 15 (04)
  • [29] A new approach to multi-objective optimisation method in PEM fuel cell
    Tahmasbi, Amir Abbas
    Hoseini, Atiyeh
    Roshandel, Ramin
    INTERNATIONAL JOURNAL OF SUSTAINABLE ENERGY, 2015, 34 (05) : 283 - 297
  • [30] Multi-scale assessment and multi-objective optimization of a novel solid oxide fuel cell hybrid power system fed by bio-syngas
    Zhao, Zhongkai
    Shi, Xiaomin
    Zhang, Mingliang
    Ouyang, Tiancheng
    JOURNAL OF POWER SOURCES, 2022, 524