IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v239y2025ics0960148124021529.html
   My bibliography  Save this article

Advanced solar energy potential assessment in Malawi: Utilizing high-resolution WRF model and GIS to identify optimal sites for solar PV generation

Author

Listed:
  • Chisale, Sylvester William
  • Lee, Han Soo
  • Soto Calvo, Manuel Alejandro
  • Jeong, Jae-Soon
  • Aljber, Morhaf
  • Williams, Zachary
  • Cabrera, Jonathan Salar

Abstract

Solar PV technology offers a promising electricity alternative in developing countries like Malawi, which face limited electricity access and increased vulnerability to climate change. This study assesses solar resources using the Weather Research and Forecasting (WRF) model's high-resolution capabilities. A two-year simulation helped compute solar PV's technical potential, focusing on annual energy generation, capacity factor, and global horizontal irradiance (GHI) variation. GIS and expert-based fuzzy analytic hierarchy process (FAHP) identified optimal solar PV sites, considering eight key constraints. Findings show an annual average daily peak GHI of 1106.45 W/m2 and a daily energy inflow of 6.76 kWh/m2/day, with a peak in October and a diffuse fraction of 10.61 %, indicating clear skies ideal for solar PV. The average annual energy yield is about 14.11 TWh with a 21.48 % capacity factor. Notably, the most suitable lands for solar PV, covering 10,288.2 km2 or 15.6 % of acceptable land, are predominantly in the southern region. Thus, these solar PV potentials offer the possibility to significantly reduce CO2 emissions, placing Malawi in agreement with worldwide sustainability goals. Generally, this research lays a crucial foundation for Malawi's renewable energy strategies, highlighting the opportunity for improved electrification and more effective climate change mitigation endeavors.

Suggested Citation

  • Chisale, Sylvester William & Lee, Han Soo & Soto Calvo, Manuel Alejandro & Jeong, Jae-Soon & Aljber, Morhaf & Williams, Zachary & Cabrera, Jonathan Salar, 2025. "Advanced solar energy potential assessment in Malawi: Utilizing high-resolution WRF model and GIS to identify optimal sites for solar PV generation," Renewable Energy, Elsevier, vol. 239(C).
  • Handle: RePEc:eee:renene:v:239:y:2025:i:c:s0960148124021529
    DOI: 10.1016/j.renene.2024.122084
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148124021529
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2024.122084?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:renene:v:239:y:2025:i:c:s0960148124021529. 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/renewable-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.