IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v315y2025ics0360544224037137.html
   My bibliography  Save this article

Technical, economic, and environmental study with ANN-based optimization of a biomass-powered versatile/sustainable polygeneration system with carbon capture/utilization approach

Author

Listed:
  • Hu, Jiang
  • Abed, Azher M.
  • Talib, Zunirah Mohd
  • Alghassab, Mohammed A.
  • Abdullaev, Sherzod
  • Ghandour, Raymond
  • Hamlaoui, Oumayma
  • Alhomayani, Fahad M.
  • Dutta, Ashit Kumar
  • Jastaneyah, Zuhair

Abstract

This study delineates the development and evaluation of a power generation cycle characterized by the absence of carbon dioxide emissions, achieved through the direct combustion of oxygen and natural gas, a system commonly known as the Graz cycle. The analysis incorporates both thermodynamic and economic dimensions. In this system, hydrogen (H2) was initially produced from two separate sources to enable the conversion of carbon dioxide (CO2), sourced from the Graz cycle, into methane. The predominant method for hydrogen production is through the biomass gasification system, complemented by the use of hydrogen separation membranes. The solid oxide electrolyzer cell serves as the secondary source, wherein the necessary electrical energy is supplied by photovoltaic collectors. This research employs a robust methodological framework to undertake a comprehensive analysis of economic variables, with the objective of providing an accurate depiction of empirical conditions in the real world. This study conducts a comprehensive analysis of all relevant costs within the specified framework. A series of ANN-centered optimization analyses was performed to ascertain conditions that concurrently optimize the economic and thermodynamic dimensions of the system.

Suggested Citation

  • Hu, Jiang & Abed, Azher M. & Talib, Zunirah Mohd & Alghassab, Mohammed A. & Abdullaev, Sherzod & Ghandour, Raymond & Hamlaoui, Oumayma & Alhomayani, Fahad M. & Dutta, Ashit Kumar & Jastaneyah, Zuhair, 2025. "Technical, economic, and environmental study with ANN-based optimization of a biomass-powered versatile/sustainable polygeneration system with carbon capture/utilization approach," Energy, Elsevier, vol. 315(C).
  • Handle: RePEc:eee:energy:v:315:y:2025:i:c:s0360544224037137
    DOI: 10.1016/j.energy.2024.133935
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544224037137
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2024.133935?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.

    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:315:y:2025:i:c:s0360544224037137. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.