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

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/m 2 and a daily energy inflow of 6.76 kWh/m 2 /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 km 2 or 15.6% of acceptable land, are predominantly in the southern region. Thus, these solar PV potentials offer the possibility to significantly reduce CO 2 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.

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Publication Details

Journal
Renewable Energy
Published
2024-12-03
DOI
https://doi.org/10.1016/j.renene.2024.122084
Citations
15
Primary Topic
Solar Radiation and Photovoltaics
Type
article
Field-Weighted Citation Impact
5.21
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article

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

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article

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

Jae-Soon Jeong, Manuel Alejandro Soto Calvo, Han Soo Lee, Sylvester William Chisale, Jonathan Salar Cabrera, Morhaf Aljber, Zachary Williams
article en
15 citations

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/m 2 and a daily energy inflow of 6.76 kWh/m 2 /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 km 2 or 15.6% of acceptable land, are predominantly in the southern region. Thus, these solar PV potentials offer the possibility to significantly reduce CO 2 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.

Renewable EnergyVol. 239
Hiroshima University (JP), Davao Oriental State University (PH), Malawi University of Science and Technology (MW)
Affordable and clean energy
Openalex Percentile: Top 4%
Solar Radiation and Photovoltaics
5.21
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