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Solar resource assessment study for Pakistan

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  • Stökler, Steffen
  • Schillings, Christoph
  • Kraas, Birk

Abstract

Solar resource assessment becomes a very important factor for planners of Photovoltaic (PV) and Concentrated Solar Power (CSP) systems. Choice between nearby locations can make a difference if a plant is profitable or not, especially in a climatic region with complex topography as can be found in Pakistan. Nevertheless, Pakistan’s geographic location and climate offers a very high potential for solar energy applications. The solar resource assessment study presented in this article describes the approach and set-up required by the World Bank’s Energy Sector Management Assistance Program (ESMAP).11Further details are available at https://www.esmap.org/ and http://www.esmap.org/RE_Mapping (02/2015). The project aims to create a validated solar atlas for Pakistan based on a combination of satellite data and ground measurements to support country-driven efforts to improve renewable energy resource awareness and exploitation. There are several country-specific, ESMAP-funded projects conducted by the World Bank Group (WBG) that cover comprehensive mapping and geospatial planning, including ground-based data collection. The solar resource estimation of Pakistan was one of the first projects to be approved within the program.The final and validated dataset ultimately will be published in the International Renewable Energy Agencies’ (IRENA) global atlas for renewable energy.22Further details are available at https://www.irena.org/ and http://www.irena.org/globalatlas/ (02/2015).

Suggested Citation

  • Stökler, Steffen & Schillings, Christoph & Kraas, Birk, 2016. "Solar resource assessment study for Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1184-1188.
    • Handle: RePEc:eee:rensus:v:58:y:2016:i:c:p:1184-1188
    DOI: 10.1016/j.rser.2015.12.298
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    1. Aized, Tauseef & Shahid, Muhammad & Bhatti, Amanat Ali & Saleem, Muhammad & Anandarajah, Gabrial, 2018. "Energy security and renewable energy policy analysis of Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 84(C), pages 155-169.
    2. Mehmood, Faiza & Ghani, Muhammad Usman & Asim, Muhammad Nabeel & Shahzadi, Rehab & Mehmood, Aamir & Mahmood, Waqar, 2021. "MPF-Net: A computational multi-regional solar power forecasting framework," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    3. José Miguel Paredes-Parra & Antonio Mateo-Aroca & Guillermo Silvente-Niñirola & María C. Bueso & Ángel Molina-García, 2018. "PV Module Monitoring System Based on Low-Cost Solutions: Wireless Raspberry Application and Assessment," Energies, MDPI, vol. 11(11), pages 1-20, November.
    4. Syed Ahsan Ali Shah & Gordhan Das Valasai & Asif Ali Memon & Abdul Nasir Laghari & Nabi Bux Jalbani & Jody L. Strait, 2018. "Techno-Economic Analysis of Solar PV Electricity Supply to Rural Areas of Balochistan, Pakistan," Energies, MDPI, vol. 11(7), pages 1-19, July.
    5. Qazi, Usama & Jahanzaib, Mirza & Ahmad, Wasim & Hussain, Salman, 2017. "An institutional framework for the development of sustainable and competitive power market in Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 83-95.
    6. Huaping Sun & Rehmat Ullah Awan & Muhammad Atif Nawaz & Muhammad Mohsin & Abdul Khaliq Rasheed & Nadeem Iqbal, 2021. "Assessing the socio-economic viability of solar commercialization and electrification in south Asian countries," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(7), pages 9875-9897, July.
    7. Abbasi, H.N. & Zeeshan, Muhammad, 2023. "An integrated Geographic Information System and Analytical Hierarchy process based approach for site suitability analysis of on-grid hybrid concentrated solar-biomass powerplant," Renewable and Sustainable Energy Reviews, Elsevier, vol. 187(C).
    8. Martín-Pomares, Luis & Martínez, Diego & Polo, Jesús & Perez-Astudillo, Daniel & Bachour, Dunia & Sanfilippo, Antonio, 2017. "Analysis of the long-term solar potential for electricity generation in Qatar," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 1231-1246.
    9. Ashfaq, Asad & Ianakiev, Anton, 2018. "Features of fully integrated renewable energy atlas for Pakistan; wind, solar and cooling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 97(C), pages 14-27.
    10. Bessafi, Miloud & Oree, Vishwamitra & Khoodaruth, Abdel & Jumaux, Guillaume & Bonnardot, François & Jeanty, Patrick & Delsaut, Mathieu & Chabriat, Jean-Pierre & Dauhoo, Muhammad Zaid, 2018. "Downscaling solar irradiance using DEM-based model in young volcanic islands with rugged topography," Renewable Energy, Elsevier, vol. 126(C), pages 584-593.
    11. Kamran, Muhammad & Fazal, Muhammad Rayyan & Mudassar, Muhammad, 2020. "Towards empowerment of the renewable energy sector in Pakistan for sustainable energy evolution: SWOT analysis," Renewable Energy, Elsevier, vol. 146(C), pages 543-558.
    12. Nematollahi, Omid & Kim, Kyung Chun, 2017. "A feasibility study of solar energy in South Korea," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 566-579.
    13. Iqbal, Jamshed & Khan, Zeashan Hameed, 2017. "The potential role of renewable energy sources in robot's power system: A case study of Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 106-122.
    14. Tahir, Z.R. & Asim, Muhammad, 2018. "Surface measured solar radiation data and solar energy resource assessment of Pakistan: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2839-2861.
    15. Amjad, Fahd & Shah, Liaqat Ali, 2020. "Identification and assessment of sites for solar farms development using GIS and density based clustering technique- A case of Pakistan," Renewable Energy, Elsevier, vol. 155(C), pages 761-769.
    16. Younes Noorollahi & Mohammad Mohammadi & Hossein Yousefi & Amjad Anvari-Moghaddam, 2020. "A Spatial-Based Integration Model for Regional Scale Solar Energy Technical Potential," Sustainability, MDPI, vol. 12(5), pages 1-19, March.
    17. Haider, Syed Altan & Sajid, Muhammad & Sajid, Hassan & Uddin, Emad & Ayaz, Yasar, 2022. "Deep learning and statistical methods for short- and long-term solar irradiance forecasting for Islamabad," Renewable Energy, Elsevier, vol. 198(C), pages 51-60.

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