Rooftop and floating PV potential for sustainable energy in Pakistan: A national-scale assessment

Rooftop and Floating Photovoltaics (RPV and FPV) are critical renewable energy technologies for achieving net-zero societies. Understanding the exact photovoltaic potential and determining the percentage of rooftop space required to achieve solar sufficiency at a national scale are vital yet underexplored areas of research. This study evaluates the photovoltaic potential of building rooftops and inland water bodies in Pakistan, focusing on their contribution to national solar sufficiency. The research encompasses the estimation of annual rooftop solar energy potential, analysis of electricity consumption patterns, determination of the required rooftop area to achieve solar sufficiency, multicriteria decision analysis for floating PV systems , and an assessment of carbon mitigation benefits. While achieving complete self-sufficiency through rooftop PV alone may be challenging, this study provides critical data to assess its feasibility and contribution to Pakistan's energy mix. Utilizing machine learning regression and geospatial techniques, the study evaluated electricity consumption, total rooftop PV potential, the required rooftop area for solar sufficiency, and the associated carbon reduction potential at a 1 km 2 grid resolution. Additionally, the FPV potential was assessed at a 30-m pixel resolution. Among the evaluated models, Random Forest demonstrated the highest predictive accuracy, achieving an R-squared value of 0.92. The results reveal that Pakistan's annual electricity consumption is 132.6 TWh, while its maximum RPV and FPV potentials are 310.1 TWh and 59.23 TWh, respectively. These potentials could reduce emissions by 192.3 MtCO₂e and 36.7 MtCO₂e annually. This study further evaluates the Levelized Cost of Electricity (LCOE) for rooftop solar PV systems (1–100 kW) in Pakistan, demonstrating their economic viability. This study offers valuable insights for policymakers, investors, and researchers working to advance sustainable energy development in Pakistan. • Assesses Pakistan's RPV (70 M rooftops) & FPV (1,085 sqkm) potential: 310.1 TWh (RPV) & 59.23 TWh (FPV) annual generation. • ML (Random Forest, R²=0.92) & geospatial analysis at 1km² (RPV) & 30m (FPV) resolution for precise estimates. • Pakistan's annual electricity use (132.6 TWh) & carbon reduction (192.3 MtCO₂e RPV, 36.7 MtCO₂e FPV) revealed. • Roof area for solar sufficiency determined; LCOE highlights solar PV systems' cost-effectiveness. • Actionable insights for policymakers, investors, researchers to advance Pakistan's sustainable energy & net-zero goals.

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Publication Details

Journal
Energy Sustainable Development/Energy for sustainable development
Published
2025-05-16
DOI
https://doi.org/10.1016/j.esd.2025.101748
Citations
4
Primary Topic
Energy and Environment Impacts
Type
article
Field-Weighted Citation Impact
2.01

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article

Rooftop and floating PV potential for sustainable energy in Pakistan: A national-scale assessment

Yumin Tan, Shahid Naeem, Agus Suprijanto, Muhammad Kamran Lodhi et al.
4 citations
Energy Sustainable Development/Energy for sustainable development
Energy and Environment Impacts
2.01
article

Rooftop and floating PV potential for sustainable energy in Pakistan: A national-scale assessment

Yumin Tan, Shahid Naeem, Agus Suprijanto, Muhammad Kamran Lodhi, Isiaka Lukman Alage
article en
4 citations

Abstract

Rooftop and Floating Photovoltaics (RPV and FPV) are critical renewable energy technologies for achieving net-zero societies. Understanding the exact photovoltaic potential and determining the percentage of rooftop space required to achieve solar sufficiency at a national scale are vital yet underexplored areas of research. This study evaluates the photovoltaic potential of building rooftops and inland water bodies in Pakistan, focusing on their contribution to national solar sufficiency. The research encompasses the estimation of annual rooftop solar energy potential, analysis of electricity consumption patterns, determination of the required rooftop area to achieve solar sufficiency, multicriteria decision analysis for floating PV systems , and an assessment of carbon mitigation benefits. While achieving complete self-sufficiency through rooftop PV alone may be challenging, this study provides critical data to assess its feasibility and contribution to Pakistan's energy mix. Utilizing machine learning regression and geospatial techniques, the study evaluated electricity consumption, total rooftop PV potential, the required rooftop area for solar sufficiency, and the associated carbon reduction potential at a 1 km 2 grid resolution. Additionally, the FPV potential was assessed at a 30-m pixel resolution. Among the evaluated models, Random Forest demonstrated the highest predictive accuracy, achieving an R-squared value of 0.92. The results reveal that Pakistan's annual electricity consumption is 132.6 TWh, while its maximum RPV and FPV potentials are 310.1 TWh and 59.23 TWh, respectively. These potentials could reduce emissions by 192.3 MtCO₂e and 36.7 MtCO₂e annually. This study further evaluates the Levelized Cost of Electricity (LCOE) for rooftop solar PV systems (1–100 kW) in Pakistan, demonstrating their economic viability. This study offers valuable insights for policymakers, investors, and researchers working to advance sustainable energy development in Pakistan. • Assesses Pakistan's RPV (70 M rooftops) & FPV (1,085 sqkm) potential: 310.1 TWh (RPV) & 59.23 TWh (FPV) annual generation. • ML (Random Forest, R²=0.92) & geospatial analysis at 1km² (RPV) & 30m (FPV) resolution for precise estimates. • Pakistan's annual electricity use (132.6 TWh) & carbon reduction (192.3 MtCO₂e RPV, 36.7 MtCO₂e FPV) revealed. • Roof area for solar sufficiency determined; LCOE highlights solar PV systems' cost-effectiveness. • Actionable insights for policymakers, investors, researchers to advance Pakistan's sustainable energy & net-zero goals.

Energy Sustainable Development/Energy for sustainable developmentVol. 87
Beihang University
Openalex Percentile: Top 14%
Energy and Environment Impacts
2.01
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