Unlocking Solar Potential: Geospatial Mapping of Building-Level Photovoltaic Opportunities in Northern Khyber Pakhtunkhwa’s Tourism Districts, Pakistan

This study evaluates the rooftop solar photovoltaic (PV) potential at the building level in the tourism-rich districts of Northern Khyber Pakhtunkhwa (KPK), Pakistan, using advanced geospatial analysis to support renewable energy planning. By combining the Area Solar Radiation tool with detailed building footprint data, the study identified solar energy potential and prioritized areas for PV system installations. Results show that approximately 35% of the 1.29 million buildings analyzed are suitable for solar panels, with energy generation capacity varying by building size and district. Spatial analysis further highlighted Union Councils (UCs) where over 50% of buildings are solar-suitable, enabling precise targeting of renewable energy initiatives. The study underscores the importance of integrating local geographical and socio-economic data to enhance the feasibility and scalability of solar energy solutions in rural and urban settings and can be used to guide policy prioritization and funding decisions. This research demonstrates how geospatial analysis and open data can drive localized clean energy adoption, directly contributing to Sustainable Development Goal 7 by advancing affordable and sustainable energy solutions.

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Publication Details

Journal
Geomatics
Published
2026-04-06
DOI
https://doi.org/10.3390/geomatics6020036
Primary Topic
Solar Radiation and Photovoltaics
Type
article
Field-Weighted Citation Impact
0.00
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article

Unlocking Solar Potential: Geospatial Mapping of Building-Level Photovoltaic Opportunities in Northern Khyber Pakhtunkhwa’s Tourism Districts, Pakistan

Tayyab Shah, Rizwan Shahid, Aseer Ul Haq, Abdul Sattar Sheikh et al.
Geomatics
Solar Radiation and Photovoltaics
article

Unlocking Solar Potential: Geospatial Mapping of Building-Level Photovoltaic Opportunities in Northern Khyber Pakhtunkhwa’s Tourism Districts, Pakistan

Tayyab Shah, Rizwan Shahid, Aseer Ul Haq, Abdul Sattar Sheikh, Abdullah Shah
article en

Abstract

This study evaluates the rooftop solar photovoltaic (PV) potential at the building level in the tourism-rich districts of Northern Khyber Pakhtunkhwa (KPK), Pakistan, using advanced geospatial analysis to support renewable energy planning. By combining the Area Solar Radiation tool with detailed building footprint data, the study identified solar energy potential and prioritized areas for PV system installations. Results show that approximately 35% of the 1.29 million buildings analyzed are suitable for solar panels, with energy generation capacity varying by building size and district. Spatial analysis further highlighted Union Councils (UCs) where over 50% of buildings are solar-suitable, enabling precise targeting of renewable energy initiatives. The study underscores the importance of integrating local geographical and socio-economic data to enhance the feasibility and scalability of solar energy solutions in rural and urban settings and can be used to guide policy prioritization and funding decisions. This research demonstrates how geospatial analysis and open data can drive localized clean energy adoption, directly contributing to Sustainable Development Goal 7 by advancing affordable and sustainable energy solutions.

GeomaticsVol. 6(2)
University of Calgary (CA), Institute of Space Technology (PK), University of Saskatchewan (CA)
Openalex Percentile: Top 30%
Solar Radiation and Photovoltaics
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