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PV park site selection for utility-scale solar guides combining GIS and power flow analysis: A case study on a Swedish municipality

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  • Lindberg, O.
  • Birging, A.
  • Widén, J.
  • Lingfors, D.

Abstract

Utility-scale solar photovoltaic (PV) parks have dominated the international market for the past few years. However, in some countries, like Sweden, utility-scale PV is on the verge to economic viability. Using existing infrastructure in a resource-efficient manner could be a crucial strategy for a successful implementation at scale. In this study, a new methodology for a utility-scale solar guide is developed by studying the hosting capacity in the local grid and identifying land appropriate for PV parks. The method is applied on a rural municipality in Sweden (512 km2) with a local distribution grid (5,000 customers). The impact on the grid, if connecting a PV park to a substation, was analyzed through power flow simulations and the geographical assessment was done using multi-criteria analysis with a Boolean approach. Three different sizes of PV parks, 1, 3, and 5 MWp, were analyzed. Results showed that 3.7% of the studied area is qualified for locating 1 MWp PV parks. However, if introducing a maximum distance threshold to the nearest substation that can host the PV generation from the park, the potential is further reduced (e.g., to 1% for a 750 m threshold). Furthermore, parts of the grid can host PV parks of 3 and 5 MWp, but only near urban areas, where qualified land is lacking. The results highlight that the proposed methodology can function as a tool in the dialog between utility companies, municipalities, PV companies, land-owners and other stakeholders in order to find resource- and system-efficient locations for PV parks.

Suggested Citation

  • Lindberg, O. & Birging, A. & Widén, J. & Lingfors, D., 2021. "PV park site selection for utility-scale solar guides combining GIS and power flow analysis: A case study on a Swedish municipality," Applied Energy, Elsevier, vol. 282(PA).
    • Handle: RePEc:eee:appene:v:282:y:2021:i:pa:s0306261920315129
    DOI: 10.1016/j.apenergy.2020.116086
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    8. Fakharizadehshirazi, Elham & Rösch, Christine, 2024. "A novel socio-techno-environmental GIS approach to assess the contribution of ground-mounted photovoltaics to achieve climate neutrality in Germany," Renewable Energy, Elsevier, vol. 227(C).
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    10. Hasan Eroğlu, 2022. "Development of a novel solar energy need index for identifying priority investment regions: a case study and current status in Turkey," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(6), pages 8840-8855, June.
    11. Lindberg, O. & Lingfors, D. & Arnqvist, J., 2022. "Analyzing the mechanisms behind temporal correlation between power sources using frequency separated time scales: A Swedish case study on PV and wind," Energy, Elsevier, vol. 259(C).
    12. Kocabaldır, Canan & Yücel, Mehmet Ali, 2023. "GIS-based multicriteria decision analysis for spatial planning of solar photovoltaic power plants in Çanakkale province, Turkey," Renewable Energy, Elsevier, vol. 212(C), pages 455-467.
    13. Nikolaos Nagkoulis & Eva Loukogeorgaki & Michela Ghislanzoni, 2022. "Genetic Algorithms-Based Optimum PV Site Selection Minimizing Visual Disturbance," Sustainability, MDPI, vol. 14(19), pages 1-19, October.
    14. Imad Hassan & Ibrahim Alhamrouni & Nurul Hanis Azhan, 2023. "A CRITIC–TOPSIS Multi-Criteria Decision-Making Approach for Optimum Site Selection for Solar PV Farm," Energies, MDPI, vol. 16(10), pages 1-26, May.
    15. Barbón, A. & Bayón-Cueli, C. & Bayón, L. & Carreira-Fontao, V., 2022. "A methodology for an optimal design of ground-mounted photovoltaic power plants," Applied Energy, Elsevier, vol. 314(C).
    16. Li, Xiao-Ya & Dong, Xin-Yu & Chen, Sha & Ye, Yan-Mei, 2024. "The promising future of developing large-scale PV solar farms in China: A three-stage framework for site selection," Renewable Energy, Elsevier, vol. 220(C).

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