IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v278y2023ics0360544223008757.html
   My bibliography  Save this article

Modelling of a novel electricity and methanol co-generation using heat recovery and CO2 capture: Comprehensive thermodynamic, economic, and environmental analyses

Author

Listed:
  • Gu, Hongfei
  • Liu, Jianzi
  • Zhou, Xingchen
  • Wu, Qiwei
  • Liu, Yaodong
  • Yu, Shuaixian
  • Qiu, Wenying
  • Xu, Jianguo

Abstract

The current investigation proposes a novel and efficient co-generation with a methanol production process through a power plant flue gas's captured CO2 in which an alkaline reactor supplies the methanol reactor's input hydrogen. Besides, the compressors, methanol distillation tower, and methanol reactor wasted heat are used as an Organic Rankine Cycle input energy to design a multi-layer wasted heat recovery system. The energy, exergy, economic and environmental approaches are used to assess the plant performance via an Aspen HYSYS code. Accordingly, the total energy and exergy efficiencies are obtained at about 64.13% and 76%. The CO2 capture and methanol separation unit efficiencies are estimated at 42% and 80%. Regarding exergy analysis, the methanol reactor has the highest exergy destruction of about 11302.61kW. The environmental assessment reveals that the total CO2 emission equals 0.9tonCO2/tonMeOH and the Organic Rankine Cycle utilization restricts the indirect emission to the reboilers and distillation columns. Eventually, the total annual cost and total production cost of the proposed scheme are calculated as about 5,638,060dollars and 0.73$/kgMeOH, respectively.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:energy:v:278:y:2023:i:c:s0360544223008757
    DOI: 10.1016/j.energy.2023.127481
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544223008757
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2023.127481?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. Pirvaram, A. & Sadrameli, S.M. & Abdolmaleki, L., 2019. "Energy management of a household refrigerator using eutectic environmental friendly PCMs in a cascaded condition," Energy, Elsevier, vol. 181(C), pages 321-330.
    2. Shokati, Naser & Ranjbar, Faramarz & Yari, Mortaza, 2015. "Exergoeconomic analysis and optimization of basic, dual-pressure and dual-fluid ORCs and Kalina geothermal power plants: A comparative study," Renewable Energy, Elsevier, vol. 83(C), pages 527-542.
    3. 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.
    4. 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).
    5. Ahmadi, Samareh & Ghaebi, Hadi & Shokri, Afshar, 2019. "A comprehensive thermodynamic analysis of a novel CHP system based on SOFC and APC cycles," Energy, Elsevier, vol. 186(C).
    6. Zhao, Dan & Ji, Chenzhen & Teo, C. & Li, Shihuai, 2014. "Performance of small-scale bladeless electromagnetic energy harvesters driven by water or air," Energy, Elsevier, vol. 74(C), pages 99-108.
    7. 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).
    8. Dongliang, Wang & Wenliang, Meng & Huairong, Zhou & Guixian, Li & Yong, Yang & Hongwei, Li, 2021. "Green hydrogen coupling with CO2 utilization of coal-to-methanol for high methanol productivity and low CO2 emission," Energy, Elsevier, vol. 231(C).
    9. Ferrara, G. & Lanzini, A. & Leone, P. & Ho, M.T. & Wiley, D.E., 2017. "Exergetic and exergoeconomic analysis of post-combustion CO2 capture using MEA-solvent chemical absorption," Energy, Elsevier, vol. 130(C), pages 113-128.
    10. Chen, Jianjun & Yang, Siyu & Qian, Yu, 2019. "A novel path for carbon-rich resource utilization with lower emission and higher efficiency: An integrated process of coal gasification and coking to methanol production," Energy, Elsevier, vol. 177(C), pages 304-318.
    11. Harris, Kylee & Grim, R. Gary & Huang, Zhe & Tao, Ling, 2021. "A comparative techno-economic analysis of renewable methanol synthesis from biomass and CO2: Opportunities and barriers to commercialization," Applied Energy, Elsevier, vol. 303(C).
    12. Wiesberg, Igor Lapenda & Brigagão, George Victor & Araújo, Ofélia de Queiroz F. & de Medeiros, José Luiz, 2019. "Carbon dioxide management via exergy-based sustainability assessment: Carbon Capture and Storage versus conversion to methanol," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 720-732.
    13. Al-Kalbani, Haitham & Xuan, Jin & García, Susana & Wang, Huizhi, 2016. "Comparative energetic assessment of methanol production from CO2: Chemical versus electrochemical process," Applied Energy, Elsevier, vol. 165(C), pages 1-13.
    14. Zhang, Dongqiang & Duan, Runhao & Li, Hongwei & Yang, Qingchun & Zhou, Huairong, 2020. "Optimal design, thermodynamic, cost and CO2 emission analyses of coal-to-methanol process integrated with chemical looping air separation and hydrogen technology," Energy, Elsevier, vol. 203(C).
    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. Tan, Hua & Bo, Likang & Nutakki, Tirumala Uday Kumar & Agrawal, Manoj Kumar & Seikh, Asiful H. & Tahir Chauhdary, Sohaib & Shah, Nehad Ali & Ji, Tiancheng, 2024. "A comprehensive multi-variable approach for evaluating the feasibility of integration a novel heat recovery model into a gas turbine power plant, producing electricity, heat, and methanol," Energy, Elsevier, vol. 296(C).
    2. Zhang, Zhiwei & Vo, Dat-Nguyen & Nguyen, Tuan B.H. & Sun, Jinsheng & Lee, Chang-Ha, 2024. "Advanced process integration and machine learning-based optimization to enhance techno-economic-environmental performance of CO2 capture and conversion to methanol," Energy, Elsevier, vol. 293(C).
    3. Safder, Usman & Loy-Benitez, Jorge & Yoo, ChangKyoo, 2024. "Techno-economic assessment of a novel integrated multigeneration system to synthesize e-methanol and green hydrogen in a carbon-neutral context," Energy, Elsevier, vol. 290(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. 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).
    2. Safder, Usman & Loy-Benitez, Jorge & Yoo, ChangKyoo, 2024. "Techno-economic assessment of a novel integrated multigeneration system to synthesize e-methanol and green hydrogen in a carbon-neutral context," Energy, Elsevier, vol. 290(C).
    3. Ren, Bo-Ping & Xu, Yi-Peng & Huang, Yu-Wei & She, Chen & Sun, Bo, 2023. "Methanol production from natural gas reforming and CO2 capturing process, simulation, design, and technical-economic analysis," Energy, Elsevier, vol. 263(PC).
    4. 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).
    5. 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).
    6. 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).
    7. 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).
    8. 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).
    9. Zheng, Jiangbo, 2024. "Integrated renewable-based multi-generation system with environmental and economic optimization," Energy, Elsevier, vol. 294(C).
    10. 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).
    11. 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).
    12. 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).
    13. Li, Ruiheng & Xu, Dong & Tian, Hao & Zhu, Yiping, 2023. "Multi-objective study and optimization of a solar-boosted geothermal flash cycle integrated into an innovative combined power and desalinated water production process: Application of a case study," Energy, Elsevier, vol. 282(C).
    14. 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).
    15. Tabibian, Seyed Shayan & Sharifzadeh, Mahdi, 2023. "Statistical and analytical investigation of methanol applications, production technologies, value-chain and economy with a special focus on renewable methanol," Renewable and Sustainable Energy Reviews, Elsevier, vol. 179(C).
    16. 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).
    17. Chen, Heng & Alzahrani, Huda A. & Amin, Mohammed A. & Sun, Minghui, 2023. "Towards sustainable development through the design, multi-aspect analyses, and multi-objective optimization of a novel solar-based multi-generation system," Energy, Elsevier, vol. 267(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. 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).
    20. Siddig S. Khalafalla & Umer Zahid & Abdul Gani Abdul Jameel & Usama Ahmed & Feraih S. Alenazey & Chul-Jin Lee, 2020. "Conceptual Design Development of Coal-to-Methanol Process with Carbon Capture and Utilization," Energies, MDPI, vol. 13(23), pages 1-21, December.

    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:278:y:2023:i:c:s0360544223008757. 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.