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Solar and wind energy potential assessment at provincial level in Nepal: Geospatial and economic analysis

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  • Neupane, Deependra
  • Kafle, Sagar
  • Karki, Kaji Ram
  • Kim, Dae Hyun
  • Pradhan, Prajal

Abstract

Renewable energies, such as solar and wind energy, play a critical role in achieving rapid decarbonization to limit global warming by replacing fossil energy. However, lack of knowledge on renewable energy potentials in developing countries is a barrier in making adequate policies to promote these energies. Thus, we have carried out a spatial and economic analysis of solar and wind energy potential at the provincial level for the first time in Nepal. Our analysis is built upon the spatial energy modeling based on technical, geographical, and economic suitability criteria, utilizing open-source geographical information system platforms. A significant amount of renewable energy could be harnessed in Nepal, i.e., up to about 47,628 MW and 1,686 MW from solar and wind energy, respectively. Similarly, Nepal has a co-location potential of about 890 and 267 MW of solar and wind energy. Karnali and Gandaki provinces have the highest solar and wind energy potential due to a large share of suitable locations with good resource quality. We estimate the 10th percentile of Levelized cost of electricity generation of 91 USD/MWh for solar and 46 USD/MWh for wind. Our findings are helpful for the formulation of resource-specific policies of Nepal at a sub-national level.

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  • Neupane, Deependra & Kafle, Sagar & Karki, Kaji Ram & Kim, Dae Hyun & Pradhan, Prajal, 2022. "Solar and wind energy potential assessment at provincial level in Nepal: Geospatial and economic analysis," Renewable Energy, Elsevier, vol. 181(C), pages 278-291.
    • Handle: RePEc:eee:renene:v:181:y:2022:i:c:p:278-291
    DOI: 10.1016/j.renene.2021.09.027
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    as
    1. Janke, Jason R., 2010. "Multicriteria GIS modeling of wind and solar farms in Colorado," Renewable Energy, Elsevier, vol. 35(10), pages 2228-2234.
    2. Paul L. Joskow, 2011. "Comparing the Costs of Intermittent and Dispatchable Electricity Generating Technologies," American Economic Review, American Economic Association, vol. 101(3), pages 238-241, May.
    3. Jerry Lebo & Dieter Schelling, 2001. "Design and Appraisal of Rural Transport Infrastructure : Ensuring Basic Access for Rural Communities," World Bank Publications - Books, The World Bank Group, number 13911.
    4. Bhandari, Ramchandra & Stadler, Ingo, 2011. "Electrification using solar photovoltaic systems in Nepal," Applied Energy, Elsevier, vol. 88(2), pages 458-465, February.
    5. Shiraishi, Kenji & Shirley, Rebekah G. & Kammen, Daniel M., 2019. "Geospatial multi-criteria analysis for identifying high priority clean energy investment opportunities: A case study on land-use conflict in Bangladesh," Applied Energy, Elsevier, vol. 235(C), pages 1457-1467.
    6. Prajal Pradhan, 2019. "Antagonists to meeting the 2030 Agenda," Nature Sustainability, Nature, vol. 2(3), pages 171-172, March.
    7. Baban, Serwan M.J & Parry, Tim, 2001. "Developing and applying a GIS-assisted approach to locating wind farms in the UK," Renewable Energy, Elsevier, vol. 24(1), pages 59-71.
    8. Deshmukh, Ranjit & Wu, Grace C. & Callaway, Duncan S. & Phadke, Amol, 2019. "Geospatial and techno-economic analysis of wind and solar resources in India," Renewable Energy, Elsevier, vol. 134(C), pages 947-960.
    9. Channing Arndt & Doug Arent & Faaiqa Hartley & Bruno Merven & Alam Hossain Mondal, 2019. "Faster Than You Think: Renewable Energy and Developing Countries," Annual Review of Resource Economics, Annual Reviews, vol. 11(1), pages 149-168, October.
    10. Mentis, Dimitrios & Hermann, Sebastian & Howells, Mark & Welsch, Manuel & Siyal, Shahid Hussain, 2015. "Assessing the technical wind energy potential in Africa a GIS-based approach," Renewable Energy, Elsevier, vol. 83(C), pages 110-125.
    11. Gyanwali, Khem & Komiyama, Ryoichi & Fujii, Yasumasa, 2020. "Representing hydropower in the dynamic power sector model and assessing clean energy deployment in the power generation mix of Nepal," Energy, Elsevier, vol. 202(C).
    12. Dincer, Ibrahim, 1999. "Environmental impacts of energy," Energy Policy, Elsevier, vol. 27(14), pages 845-854, December.
    13. Sengupta, Manajit & Xie, Yu & Lopez, Anthony & Habte, Aron & Maclaurin, Galen & Shelby, James, 2018. "The National Solar Radiation Data Base (NSRDB)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 89(C), pages 51-60.
    14. K.C., Surendra & Khanal, Samir Kumar & Shrestha, Prachand & Lamsal, Buddhi, 2011. "Current status of renewable energy in Nepal: Opportunities and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(8), pages 4107-4117.
    15. Aly, Ahmed & Jensen, Steen Solvang & Pedersen, Anders Branth, 2017. "Solar power potential of Tanzania: Identifying CSP and PV hot spots through a GIS multicriteria decision making analysis," Renewable Energy, Elsevier, vol. 113(C), pages 159-175.
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