IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v285y2023ics0360544223028190.html
   My bibliography  Save this article

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

Author

Listed:
  • Tian, Hao
  • Li, Ruiheng
  • Zhu, Yiping

Abstract

Enhancing the stability and cost-effectiveness of gas turbine power plants while mitigating input costs, co-feed arrangements, and multi-heat recovery processes shows great promise. The present study introduces an innovative trigeneration application to energetically and economically modify the existing gas turbine cycle. This trigeneration system incorporates several components, namely a helium gas turbine power plant, a regenerative steam Rankine cycle, a domestic water heating unit, and a multi-effect desalination subsystem. The thermodynamic and economic factors were considered to assess the performance indexes. Furthermore, a thorough technical analysis was conducted on the thermodynamic and economic variables, considering the influence of five crucial decision-making factors. Also, the operation mode of the system was optimized through multi-objective optimization of power and heating load. The outcomes of this optimization process revealed that the optimal values for electric power and heating load are 507.34 kW and 261.94 kW, respectively. Additionally, the capacity of freshwater obtained of about 0.076 kg/s. The optimal solution also showcased an exergy efficiency of 44.93 % and a relatively short payback period of 4.68 years, indicating the system's cost-effectiveness and favorable performance.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:energy:v:285:y:2023:i:c:s0360544223028190
    DOI: 10.1016/j.energy.2023.129425
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544223028190
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2023.129425?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. Cruz, Marco R.M. & Fitiwi, Desta Z. & Santos, Sérgio F. & Catalão, João P.S., 2018. "A comprehensive survey of flexibility options for supporting the low-carbon energy future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 97(C), pages 338-353.
    2. Fan, Junming & Hong, Hui & Jin, Hongguang, 2018. "Biomass and coal co-feed power and SNG polygeneration with chemical looping combustion to reduce carbon footprint for sustainable energy development: Process simulation and thermodynamic assessment," Renewable Energy, Elsevier, vol. 125(C), pages 260-269.
    3. Bilgili, Faik & Koçak, Emrah & Bulut, Ümit & Kuşkaya, Sevda, 2017. "Can biomass energy be an efficient policy tool for sustainable development?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 830-845.
    4. Joselin Herbert, G.M. & Unni Krishnan, A., 2016. "Quantifying environmental performance of biomass energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 292-308.
    5. Safder, Usman & Nguyen, Hai-Tra & Ifaei, Pouya & Yoo, ChangKyoo, 2021. "Energetic, economic, exergetic, and exergorisk (4E) analyses of a novel multi-generation energy system assisted with bagasse-biomass gasifier and multi-effect desalination unit," Energy, Elsevier, vol. 219(C).
    6. Mauro Villarini & Vera Marcantonio & Andrea Colantoni & Enrico Bocci, 2019. "Sensitivity Analysis of Different Parameters on the Performance of a CHP Internal Combustion Engine System Fed by a Biomass Waste Gasifier," Energies, MDPI, vol. 12(4), pages 1-21, February.
    7. Panwar, N.L. & Kaushik, S.C. & Kothari, Surendra, 2011. "Role of renewable energy sources in environmental protection: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(3), pages 1513-1524, April.
    8. 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).
    9. Boyaghchi, Fateme Ahmadi & Chavoshi, Mansoure & Sabeti, Vajiheh, 2018. "Multi-generation system incorporated with PEM electrolyzer and dual ORC based on biomass gasification waste heat recovery: Exergetic, economic and environmental impact optimizations," Energy, Elsevier, vol. 145(C), pages 38-51.
    10. 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.
    11. 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).
    12. Afzal, Sadegh & Ziapour, Behrooz M. & Shokri, Afshar & Shakibi, Hamid & Sobhani, Behnam, 2023. "Building energy consumption prediction using multilayer perceptron neural network-assisted models; comparison of different optimization algorithms," Energy, Elsevier, vol. 282(C).
    13. Steven Chu & Arun Majumdar, 2012. "Opportunities and challenges for a sustainable energy future," Nature, Nature, vol. 488(7411), pages 294-303, August.
    14. 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).
    15. Yılmaz, Sebnem & Selim, Hasan, 2013. "A review on the methods for biomass to energy conversion systems design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 420-430.
    16. Amirmasood Nakhaee Sharif & Sanaz Keshavarz Saleh & Sadegh Afzal & Niloofar Shoja Razavi & Mozhdeh Fadaei Nasab & Samireh Kadaei & Chun Wei, 2022. "Evaluating and Identifying Climatic Design Features in Traditional Iranian Architecture for Energy Saving (Case Study of Residential Architecture in Northwest of Iran)," Complexity, Hindawi, vol. 2022, pages 1-12, September.
    17. 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).
    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. 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).
    3. 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).
    4. 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).
    5. Aghabalazadeh, Mohammad & Neshat, Elaheh, 2024. "Proposal and optimization of a novel biomass-based tri-generation system using energy, exergy and exergoeconomic analyses and design of experiments method," Energy, Elsevier, vol. 288(C).
    6. 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).
    7. 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).
    8. 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).
    9. 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).
    10. 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).
    11. 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).
    12. 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).
    13. 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).
    14. Ebrahimi-Moghadam, Amir & Farzaneh-Gord, Mahmood, 2022. "Optimal operation of a multi-generation district energy hub based on electrical, heating, and cooling demands and hydrogen production," Applied Energy, Elsevier, vol. 309(C).
    15. Hou, Rui & Zhang, Nachuan & Yang, Chengsheng & Zhao, Jing & Li, Peng & Sun, Bo, 2023. "A novel structure of natural gas, electricity, and methanol production using a combined reforming cycle: Integration of biogas upgrading, liquefied natural gas re-gasification, power plant, and methan," Energy, Elsevier, vol. 270(C).
    16. Pablo Benalcazar & Adam Suski & Jacek Kamiński, 2020. "Optimal Sizing and Scheduling of Hybrid Energy Systems: The Cases of Morona Santiago and the Galapagos Islands," Energies, MDPI, vol. 13(15), pages 1-20, August.
    17. Afzal, Sadegh & Ziapour, Behrooz M. & Shokri, Afshar & Shakibi, Hamid & Sobhani, Behnam, 2023. "Building energy consumption prediction using multilayer perceptron neural network-assisted models; comparison of different optimization algorithms," Energy, Elsevier, vol. 282(C).
    18. Ibrahim Mosly & Anas A. Makki, 2018. "Current Status and Willingness to Adopt Renewable Energy Technologies in Saudi Arabia," Sustainability, MDPI, vol. 10(11), pages 1-20, November.
    19. ABM Abdul Malek & M Hasanuzzaman & Nasrudin A Rahim & Yusuf A Al–Turki, 2021. "Energy, economic, and environmental analysis of 10-MW biomass gasification based power generation in Malaysia," Energy & Environment, , vol. 32(2), pages 295-337, March.
    20. 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).

    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:285:y:2023:i:c:s0360544223028190. 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.