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 km2 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.
| Original language | English |
|---|---|
| Article number | 101748 |
| Journal | Energy for Sustainable Development |
| Volume | 87 |
| DOIs | |
| State | Published - Aug 2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 7 Affordable and Clean Energy
-
SDG 15 Life on Land
Keywords
- Carbon mitigation
- Floating Photovoltaic
- Machine learning
- Renewable energy
- Rooftop Photovoltaic
Fingerprint
Dive into the research topics of 'Rooftop and floating PV potential for sustainable energy in Pakistan: A national-scale assessment'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver