IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v283y2023ics0360544223018856.html
   My bibliography  Save this article

Comprehensive analysis and multi-objective optimization of an innovative power generation system using biomass gasification and LNG regasification processes

Author

Listed:
  • Chang, Yue
  • Jia, Yulong
  • Hong, Tan

Abstract

The biomass-based systems have considerable feasibility to design a co-generation with different subsystems. This paper presents a novel biomass-based gas turbine with a modified Kalina cycle, supercritical-CO2 cycle, and LNG regasifying subsystems. A turbine is installed in the LNG regasifying subsystems to produce more power. Energy, advanced exergy, including thermal and mechanical exergies, and economic analyses are applied to assess the system's performance. Three double-objective and two triple-objective optimizations are carried out to obtain the system's operation mode at the optimum state. The results reveal that the combustion chamber and supercritical-CO2 cycle's condenser have the highest exergy destruction. Also, the compressors and turbines have the main portion of the investment cost rate of about 79.91%. The design system provides 7560 kW net power, 41.75% exergy efficiency, and 6.2 years payback period. Regarding the parametric study, the system's performance indexes are mainly affected by the air compressor's pressure ratio. Furthermore, considering the net power-sum unit cost of production as the optimization goal represents the best performance of 7830 kW net power, 42.97% exergy efficiency, and 7.262 $/GJ sum unit cost of products.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:energy:v:283:y:2023:i:c:s0360544223018856
    DOI: 10.1016/j.energy.2023.128491
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544223018856
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2023.128491?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. Maraver, Daniel & Sin, Ana & Royo, Javier & Sebastián, Fernando, 2013. "Assessment of CCHP systems based on biomass combustion for small-scale applications through a review of the technology and analysis of energy efficiency parameters," Applied Energy, Elsevier, vol. 102(C), pages 1303-1313.
    2. 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.
    3. Habibollahzade, Ali & Gholamian, Ehsan & Behzadi, Amirmohammad, 2019. "Multi-objective optimization and comparative performance analysis of hybrid biomass-based solid oxide fuel cell/solid oxide electrolyzer cell/gas turbine using different gasification agents," Applied Energy, Elsevier, vol. 233, pages 985-1002.
    4. Wang, Jiang-Jiang & Yang, Kun & Xu, Zi-Long & Fu, Chao, 2015. "Energy and exergy analyses of an integrated CCHP system with biomass air gasification," Applied Energy, Elsevier, vol. 142(C), pages 317-327.
    5. Lonngren, Karl E. & Bai, Er-Wei, 2008. "On the global warming problem due to carbon dioxide," Energy Policy, Elsevier, vol. 36(4), pages 1567-1568, April.
    6. Shakibi, Hamid & Shokri, Afshar & Assareh, Ehsanolah & Yari, Mortaza & Lee, Moonyong, 2023. "Using machine learning approaches to model and optimize a combined solar/natural gas-based power and freshwater cogeneration system," Applied Energy, Elsevier, vol. 333(C).
    7. Uddin, Waqar & Khan, B. & Shaukat, Neelofar & Majid, Muhammad & Mujtaba, G. & Mehmood, Arshad & Ali, S.M. & Younas, U. & Anwar, Muhammad & Almeshal, Abdullah M., 2016. "Biogas potential for electric power generation in Pakistan: A survey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 25-33.
    8. Wang, Qiang & Yang, Yueling, 2023. "Biomass possessing toward an efficient arrangement using a novel framework of waste-to-useful products: MOPSO optimization and comprehensive thermodynamic and cost analyses," Energy, Elsevier, vol. 266(C).
    9. Joselin Herbert, G.M. & Iniyan, S. & Sreevalsan, E. & Rajapandian, S., 2007. "A review of wind energy technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(6), pages 1117-1145, August.
    10. Shakibi, Hamid & Shokri, Afshar & Sobhani, Behnam & Yari, Mortaza, 2023. "Numerical analysis and optimization of a novel photovoltaic thermal solar unit improved by Nano-PCM as an energy storage media and finned collector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 179(C).
    11. 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).
    12. Sun, Faming & Zhou, Weisheng & Ikegami, Yasuyuki & Nakagami, Kenichi & Su, Xuanming, 2014. "Energy–exergy analysis and optimization of the solar-boosted Kalina cycle system 11 (KCS-11)," Renewable Energy, Elsevier, vol. 66(C), pages 268-279.
    13. Aleklett, Kjell & Höök, Mikael & Jakobsson, Kristofer & Lardelli, Michael & Snowden, Simon & Söderbergh, Bengt, 2010. "The Peak of the Oil Age - Analyzing the world oil production Reference Scenario in World Energy Outlook 2008," Energy Policy, Elsevier, vol. 38(3), pages 1398-1414, March.
    14. Akbari, Ata D. & Mahmoudi, Seyed M.S., 2014. "Thermoeconomic analysis & optimization of the combined supercritical CO2 (carbon dioxide) recompression Brayton/organic Rankine cycle," Energy, Elsevier, vol. 78(C), pages 501-512.
    15. Liu, Xianglong & Hu, Guang & Zeng, Zhi, 2023. "Performance characterization and multi-objective optimization of integrating a biomass-fueled brayton cycle, a kalina cycle, and an organic rankine cycle with a claude hydrogen liquefaction cycle," Energy, Elsevier, vol. 263(PB).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jia, Dongqing & Li, Xingmei & Gong, Xu & Lv, Xiaoyan & Shen, Zhong, 2024. "Bi-level strategic bidding model of novel virtual power plant aggregating waste gasification in integrated electricity and hydrogen markets," Applied Energy, Elsevier, vol. 357(C).
    2. Du, Yadong & Yu, Zhiyi & Sun, Weihua & Yang, Ce & Wang, Haimei & Zhang, Hanzhi, 2024. "Chemical looping combustion-driven cooling and power cogeneration system with LNG cold energy utilization: Exergoeconomic analysis and three-objective optimization," Energy, Elsevier, vol. 295(C).

    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. Ji-chao, Yang & Sobhani, Behrooz, 2021. "Integration of biomass gasification with a supercritical CO2 and Kalina cycles in a combined heating and power system: A thermodynamic and exergoeconomic analysis," Energy, Elsevier, vol. 222(C).
    3. 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).
    4. 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).
    5. 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).
    6. 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).
    7. Shakibi, Hamid & Faal, Mehrdad Yousefi & Assareh, Ehsanolah & Agarwal, Neha & Yari, Mortaza & Latifi, Seyed Ali & Ghodrat, Maryam & Lee, Moonyong, 2023. "Design and multi-objective optimization of a multi-generation system based on PEM electrolyzer, RO unit, absorption cooling system, and ORC utilizing machine learning approaches; a case study of Austr," Energy, Elsevier, vol. 278(C).
    8. Gao, Jinling & Zhang, Yong & Li, Xuetao & Zhou, Xiao & J. Kilburn, Zofia, 2024. "Thermodynamic and thermoeconomic analysis and optimization of a renewable-based hybrid system for power, hydrogen, and freshwater production," Energy, Elsevier, vol. 295(C).
    9. Qing, Xia, 2024. "Solar-driven multi-generation system: Thermoeconomic and environmental optimization for power, cooling, and liquefied hydrogen production," Energy, Elsevier, vol. 293(C).
    10. Gu, Hongfei & Liu, Jianzi & Zhou, Xingchen & Wu, Qiwei & Liu, Yaodong & Yu, Shuaixian & Qiu, Wenying & Xu, Jianguo, 2023. "Modelling of a novel electricity and methanol co-generation using heat recovery and CO2 capture: Comprehensive thermodynamic, economic, and environmental analyses," Energy, Elsevier, vol. 278(C).
    11. Abedinia, Oveis & Shakibi, Hamid & Shokri, Afshar & Sobhani, Behnam & Sobhani, Behrouz & Yari, Mortaza & Bagheri, Mehdi, 2024. "Optimization of a syngas-fueled SOFC-based multigeneration system: Enhanced performance with biomass and gasification agent selection," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).
    12. Chen, Yi & Niroumandi, Hossein & Duan, Yinying, 2021. "Thermodynamic and economic analyses of a syngas-fueled high-temperature fuel cell with recycling processes in novel electricity and freshwater cogeneration plant," Energy, Elsevier, vol. 235(C).
    13. Wang, Qiang & Yang, Yueling, 2023. "Biomass possessing toward an efficient arrangement using a novel framework of waste-to-useful products: MOPSO optimization and comprehensive thermodynamic and cost analyses," Energy, Elsevier, vol. 266(C).
    14. Yin, Pei & Sardari, Farshid, 2023. "Process arrangement and multi-criteria study/optimization of a novel hybrid solar-geothermal scheme combined with a compressed air energy storage: Application of different MOPSO-based scenarios," Energy, Elsevier, vol. 282(C).
    15. Cai, Wei & Wen, Xiaodong & Li, Chaoen & Shao, Jingjing & Xu, Jianguo, 2023. "Predicting the energy consumption in buildings using the optimized support vector regression model," Energy, Elsevier, vol. 273(C).
    16. Hou, Rui & Zhang, Nachuan & Gao, Wei & Chen, Kang & Liu, Lijun & Kumar, M. Saravana, 2023. "Design and optimization of a novel flash-binary-based hybrid system to produce power, cooling, freshwater, and liquid hydrogen," Energy, Elsevier, vol. 280(C).
    17. Zheng, Jiangbo, 2024. "Integrated renewable-based multi-generation system with environmental and economic optimization," Energy, Elsevier, vol. 294(C).
    18. Yu, Jie & Hu, Jianqiang & Yan, Pengyang & Ashraf Talesh, Seyed Saman, 2023. "Optimizing sustainable energy solutions: A comprehensive analysis of geothermal-powered compressed air energy storage system," Energy, Elsevier, vol. 285(C).
    19. Wang, Shicheng & Liu, Xin & Gu, Xueying & Huang, Xinyu & Li, Yu, 2023. "Analysis and multi-objective optimization of integrating a syngas-fed solid oxide fuel cell improved by a two-stage expander-organic flash cycle using an ejector and a desalination cycle," Energy, Elsevier, vol. 272(C).
    20. Teng, Su & Hamrang, Farzad & Ashraf Talesh, Seyed Saman, 2021. "Economic performance assessment of a novel combined power generation cycle," Energy, Elsevier, vol. 231(C).

    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:283:y:2023:i:c:s0360544223018856. 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.