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
  • [31] 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
  • [32] Multi-objective optimization and evaluation of supercritical CO2 Brayton cycle for nuclear power generation
    Yu, Guo-Peng
    Cheng, Yong-Feng
    Zhang, Na
    Ming, Ping-Jian
    NUCLEAR SCIENCE AND TECHNIQUES, 2024, 35 (02)
  • [33] Multi-objective optimization and evaluation of supercritical CO2 Brayton cycle for nuclear power generation
    Guo-Peng Yu
    Yong-Feng Cheng
    Na Zhang
    Ping-Jian Ming
    Nuclear Science and Techniques, 2024, 35
  • [34] Solid oxide fuel cell as a multi-fuel applicable power generation device
    Kikuchi, R
    Eguchi, K
    JOURNAL OF THE JAPAN PETROLEUM INSTITUTE, 2004, 47 (04) : 225 - 238
  • [35] Multi-objective optimization and evaluation of supercritical CO2 Brayton cycle for nuclear power generation
    Guo-Peng Yu
    Yong-Feng Cheng
    Na Zhang
    Ping-Jian Ming
    Nuclear Science and Techniques, 2024, 35 (02) : 32 - 58
  • [36] Multi-objective optimization of an indirectly integrated solid oxide fuel cell-gas turbine cogeneration system
    Khani, Leyla
    Mehr, Ali Saberi
    Yari, Mortaza
    Mahmoudi, S. M. S.
    INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2016, 41 (46) : 21470 - 21488
  • [37] Hybrid fuel cell and battery propulsion system modelling and multi-objective optimisation for a coastal ferry
    Wu, Peng
    Bucknall, Richard
    INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2020, 45 (04) : 3193 - 3208
  • [38] Multi-objective optimization of supercritical carbon dioxide recompression Brayton cycle considering printed circuit recuperator design
    Rao, Zhenghua
    Xue, Tianchen
    Huang, Kaixin
    Liao, Shengming
    ENERGY CONVERSION AND MANAGEMENT, 2019, 201
  • [39] Performance analysis and multi-objective optimization of a novel solid oxide fuel cell-based poly-generation and condensation dehumidification system
    Huang, Zihao
    Xiao, Yan
    You, Huailiang
    Chen, Daifen
    Hu, Bin
    Li, Guoxiang
    Han, Jitian
    Lysyakov, Anatoly
    ENERGY CONVERSION AND MANAGEMENT, 2024, 319
  • [40] Multi-objective Optimization Analysis Based on Flash Cycle Combined Power Generation System
    Lu, Danfeng
    Zhang, Jiashun
    Shang, Liyan
    Zhou, Li
    Kung Cheng Je Wu Li Hsueh Pao/Journal of Engineering Thermophysics, 2022, 43 (05): : 1163 - 1173