IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i10p4675-d1659558.html
   My bibliography  Save this article

System Modeling and Performance Simulation of a Full-Spectrum Solar-Biomass Combined Electricity-Heating-Cooling Multi-Generation System

Author

Listed:
  • Kai Ding

    (The College of Electrical Engineering, Shanghai DianJi University, Shanghai 201306, China)

  • Ximin Cao

    (The College of Electrical Engineering, Shanghai DianJi University, Shanghai 201306, China)

  • Yanchi Zhang

    (The College of Electrical Engineering, Shanghai DianJi University, Shanghai 201306, China)

Abstract

The reliance on fossil fuels poses significant challenges to the environment and sustainable development. To address the heating requirements of the pyrolysis process in a biomass gasification-based multi-generation system, this study explored the use of low-grade solar energy across the full solar spectrum to supply the necessary energy for biomass pyrolysis while leveraging high-grade solar energy in the short-wavelength spectrum for power generation. The proposed multi-generation system integrates the full solar spectrum, biomass gasification, gas turbine, and waste heat recovery unit to produce power, cooling, and heating. A detailed thermodynamic model of this integrated system was developed, and the energy and exergy efficiencies of each subsystem were evaluated. Furthermore, the system’s performance was assessed on both monthly and annual timescales by employing the hourly weather data for Hohhot in 2023. The results showed that the solar subsystem achieved its highest power output of around 2.5 MWh in July and the lowest of 0.7 MWh in December. The annual electrical output peaked at 10 MWh, occurring around noon in July and August, while the winter peak was typically 2–3 MWh. For the wind power subsystem, the power output was maximized in April at 5.17 MWh and minimized in August at 0.7 MWh. Additionally, considering the overall multi-generation system performance, the highest power output of 14.9 MWh was observed in April, with lower outputs of 10.9, 11.3, and 11.4 MWh from August to October, respectively. Overall, the system demonstrated impressive annual average energy and exergy efficiencies of 74.05% and 52.13%, respectively.

Suggested Citation

  • Kai Ding & Ximin Cao & Yanchi Zhang, 2025. "System Modeling and Performance Simulation of a Full-Spectrum Solar-Biomass Combined Electricity-Heating-Cooling Multi-Generation System," Sustainability, MDPI, vol. 17(10), pages 1-19, May.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:10:p:4675-:d:1659558
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/10/4675/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/17/10/4675/
    Download Restriction: no
    ---><---

    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:gam:jsusta:v:17:y:2025:i:10:p:4675-:d:1659558. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.