IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v311y2024ics0360544224031220.html
   My bibliography  Save this article

Investigating the performance of a gas turbine system combined with steam methane reforming as a thermochemical recuperator in a power, cooling, freshwater, and hydrogen production multigeneration system

Author

Listed:
  • Dai, Zuocai
  • Yin, Xiaomin

Abstract

Depletion of fossil fuel resources at a high speed and increasing demand for energy supply for various purposes in today's life integrated with industry has led to collective contemplation for the optimal and maximum utilization of fossil fuels through the implementation of multigeneration systems. In the presented study, a multigeneration system for cooling, power, freshwater, and Hydrogen production is proposed and investigated from exergy, energy, and economic viewpoints through a specific scenario. A case study is performed, revealing that the system can deliver a net output power of 16,251.8 kW, a cooling load of 15,905.0 kW, produce freshwater at a rate of 3.891 kg/s, and generate hydrogen at 0.284 kg/h. The energy and exergy efficiencies of the system are 60.48 % and 32.55 %, respectively. An economic analysis shows a payback period of 0.474 years. A parametric evaluation is performed to perceive the system operation in various conditions. Subsequently, a multi-objective optimization using the MOPSO-LINMAP method is conducted to identify the optimal operating conditions for the system. The optimization results are compared with the case study findings, demonstrating further improvements in performance metrics. The optimized system achieves a slightly higher energy efficiency of 61.62 % and a lower payback period of 0.40 years, underscoring the benefits of the optimization process. This study highlights the potential of the proposed system to efficiently and economically meet the demands for power, hydrogen, cooling, and freshwater in various applications.

Suggested Citation

  • Dai, Zuocai & Yin, Xiaomin, 2024. "Investigating the performance of a gas turbine system combined with steam methane reforming as a thermochemical recuperator in a power, cooling, freshwater, and hydrogen production multigeneration sys," Energy, Elsevier, vol. 311(C).
  • Handle: RePEc:eee:energy:v:311:y:2024:i:c:s0360544224031220
    DOI: 10.1016/j.energy.2024.133346
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544224031220
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2024.133346?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Anvari, Simin & Mahian, Omid & Taghavifar, Hadi & Wongwises, Somchai & Desideri, Umberto, 2020. "4E analysis of a modified multigeneration system designed for power, heating/cooling, and water desalination," Applied Energy, Elsevier, vol. 270(C).
    2. Wang, Shukun & Zhang, Lu & Liu, Chao & Liu, Zuming & Lan, Song & Li, Qibin & Wang, Xiaonan, 2021. "Techno-economic-environmental evaluation of a combined cooling heating and power system for gas turbine waste heat recovery," Energy, Elsevier, vol. 231(C).
    3. Ding, Haoran & Liu, Shenghui & Liu, Fei & Han, Long & Sun, Shien & Qi, Zhifu, 2024. "Experimental and numerical investigation of chemical-loop steam methane reforming on monolithic BaCoO3/CeO2 oxygen," Energy, Elsevier, vol. 302(C).
    4. Farzad Hamrang & Afshar Shokri & S. M. Seyed Mahmoudi & Biuk Ehghaghi & Marc A. Rosen, 2020. "Performance Analysis of a New Electricity and Freshwater Production System Based on an Integrated Gasification Combined Cycle and Multi-Effect Desalination," Sustainability, MDPI, vol. 12(19), pages 1-29, September.
    5. Lv, Xuefei & Lv, Ying & Zhu, Yiping, 2023. "Multi-variable study and MOPSO-based multi-objective optimization of a novel cogeneration plant using biomass fuel and geothermal energy: A complementary hybrid design," Energy, Elsevier, vol. 270(C).
    6. DinAli, Magd N. & Dincer, Ibrahim, 2018. "Development and analysis of an integrated gas turbine system with compressed air energy storage for load leveling and energy management," Energy, Elsevier, vol. 163(C), pages 604-617.
    7. Han, Wei & Chen, Qiang & Lin, Ru-mou & Jin, Hong-guang, 2015. "Assessment of off-design performance of a small-scale combined cooling and power system using an alternative operating strategy for gas turbine," Applied Energy, Elsevier, vol. 138(C), pages 160-168.
    8. Lei, Ming & C. Alves, José & A. Alotaibi, Majed & Chen, Jinwei, 2024. "A novel polygeneration process integrated into a gas turbine cycle toward an environmentally friendly framework; Application of a comprehensive 4E study," Energy, Elsevier, vol. 307(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nemati Mofarrah, Ali & Jalalvand, Meysam & Abdolmaleki, Abbas, 2023. "Design, multi-aspect analyses, and multi-objective optimization of a biomass/geothermal-based cogeneration of power and freshwater," Energy, Elsevier, vol. 282(C).
    2. Dou, Zhenhai & Zou, Yunhe & Mohebbi, Amir, 2024. "Design and multi-aspect analysis of a geothermal and biomass dual-source power, cooling, heating, and hybrid freshwater production system," Energy, Elsevier, vol. 293(C).
    3. Zhu, Chaoyang & Wang, Mengxia & Guo, Mengxing & Deng, Jinxin & Du, Qipei & Wei, Wei & Zhang, Yunxiang & Mohebbi, Amir, 2024. "An innovative process design and multi-criteria study/optimization of a biomass digestion-supercritical carbon dioxide scenario toward boosting a geothermal-driven cogeneration system for power and he," Energy, Elsevier, vol. 292(C).
    4. Azizi, Saeid & Shakibi, Hamid & Shokri, Afshar & Chitsaz, Ata & Yari, Mortaza, 2023. "Multi-aspect analysis and RSM-based optimization of a novel dual-source electricity and cooling cogeneration system," Applied Energy, Elsevier, vol. 332(C).
    5. Pietrasanta, Ariana M. & Mussati, Sergio F. & Aguirre, Pio A. & Morosuk, Tatiana & Mussati, Miguel C., 2022. "Optimization of a multi-generation power, desalination, refrigeration and heating system," Energy, Elsevier, vol. 238(PB).
    6. Lin, Shuoyan & Wu, Zhixin & Xin, Jiayue & Fang, Zhongzheng, 2024. "Design and economic analysis of an innovative multi-generation system in different Countries with diverse economic contexts," Energy, Elsevier, vol. 310(C).
    7. Zheng, Shanshan & Hai, Qing & Zhou, Xiao & Stanford, Russell J., 2024. "A novel multi-generation system for sustainable power, heating, cooling, freshwater, and methane production: Thermodynamic, economic, and environmental analysis," Energy, Elsevier, vol. 290(C).
    8. Farzad Hamrang & S. M. Seyed Mahmoudi & Marc A. Rosen, 2021. "A Novel Electricity and Freshwater Production System: Performance Analysis from Reliability and Exergoeconomic Viewpoints with Multi-Objective Optimization," Sustainability, MDPI, vol. 13(11), pages 1-30, June.
    9. Tian, Hao & Li, Ruiheng & Zhu, Yiping, 2023. "Blend of flue gas from a methane-fueled gas turbine power plant and syngas from biomass gasification process to feed a novel trigeneration application: Thermodynamic-economic study and optimization," Energy, Elsevier, vol. 285(C).
    10. Tianliang, Wang & Hong, Tan, 2023. "Thermodynamic and exergoeconomic analysis of an innovative cogeneration of power and freshwater based on gas turbine cycle," Energy, Elsevier, vol. 285(C).
    11. Qian, Xiaoyan & Dai, Jie & Jiang, Weimin & Cai, Helen & Ye, Xixi & Shahab Vafadaran, Mohammad, 2024. "Economic viability and investment returns of innovative geothermal tri-generation systems: A comparative study," Renewable Energy, Elsevier, vol. 226(C).
    12. Lv, Xuefei & Lv, Ying & Zhu, Yiping, 2023. "Multi-variable study and MOPSO-based multi-objective optimization of a novel cogeneration plant using biomass fuel and geothermal energy: A complementary hybrid design," Energy, Elsevier, vol. 270(C).
    13. Teng, Su & Hamrang, Farzad & Ashraf Talesh, Seyed Saman, 2021. "Economic performance assessment of a novel combined power generation cycle," Energy, Elsevier, vol. 231(C).
    14. Chen, Qian & Burhan, Muhammad & Akhtar, Faheem Hassan & Ybyraiymkul, Doskhan & Shahzad, Muhammad Wakil & Li, Yong & Ng, Kim Choon, 2021. "A decentralized water/electricity cogeneration system integrating concentrated photovoltaic/thermal collectors and vacuum multi-effect membrane distillation," Energy, Elsevier, vol. 230(C).
    15. Chang, Yue & Jia, Yulong & Hong, Tan, 2023. "Comprehensive analysis and multi-objective optimization of an innovative power generation system using biomass gasification and LNG regasification processes," Energy, Elsevier, vol. 283(C).
    16. Chen, Ying & Liu, Yuxuan & Nam, Eun-Young & Zhang, Yang & Dahlak, Aida, 2023. "Exergoeconomic and exergoenvironmental analysis and optimization of an integrated double-flash-binary geothermal system and dual-pressure ORC using zeotropic mixtures; multi-objective optimization," Energy, Elsevier, vol. 283(C).
    17. Martina Ricci & Marcello Benvenuto & Stefano Gino Mosele & Roberto Pacciani & Michele Marconcini, 2022. "Predicting the Impact of Compressor Flexibility Improvements on Heavy-Duty Gas Turbines for Minimum and Base Load Conditions," Energies, MDPI, vol. 15(20), pages 1-14, October.
    18. Yang, Cheng & Huang, Zhifeng & Ma, Xiaoqian, 2018. "Comparative study on off-design characteristics of CHP based on GTCC under alternative operating strategy for gas turbine," Energy, Elsevier, vol. 145(C), pages 823-838.
    19. Zhang, Na & Wang, Zefeng & Lior, Noam & Han, Wei, 2018. "Advancement of distributed energy methods by a novel high efficiency solar-assisted combined cooling, heating and power system," Applied Energy, Elsevier, vol. 219(C), pages 179-186.
    20. Li, Ling-Ling & Ji, Bing-Xiang & Li, Zhong-Tao & Lim, Ming K. & Sethanan, Kanchana & Tseng, Ming-Lang, 2025. "Microgrid energy management system with degradation cost and carbon trading mechanism: A multi-objective artificial hummingbird algorithm," Applied Energy, Elsevier, vol. 378(PA).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:311:y:2024:i:c:s0360544224031220. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.