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The Approach to Finding Locations for Wind Farms Using GIS and MCDA: Case Study Based on Podlaskie Voivodeship, Poland

Author

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  • Artur Amsharuk

    (Faculty of Civil Engineering and Environmental Sciences, Białystok University of Technology, Wiejska 45E, 15-351 Białystok, Poland)

  • Grażyna Łaska

    (Faculty of Civil Engineering and Environmental Sciences, Białystok University of Technology, Wiejska 45E, 15-351 Białystok, Poland)

Abstract

This article presents an approach to locating wind farms based on open-source data, GIS software (QGiS v.3.32 Lima), and multicriteria decision-making methods such as AHP, TOPSIS and Borda. The article aims to check the availability of the most suitable sites for wind farms in Podlaskie Voivodeship, Poland. After the site-selection process, 704 plots were selected after three stages of exclusion (technical–natural, social, and economic). These plots cover a total area of 32.50 km 2 , about 0.16% of the region’s area. The results show that Podlaskie Voivodeship has the most considerable clustering of suitable sites for wind farm construction in three districts, with a total area of 21.53 km 2 . The first district is in the southwestern part of the region, with an area of 14.84 km 2 ; the second district is in the southeastern part of the region, with an area of 5.59 km 2 ; and the third district is in the northern part of the region, with an area of 1.1 km 2 . A selected area of 32.50 km 2 for wind farms and single turbines could increase the power capacity by 62% with 131.5 MW. The GIS and multicriteria decision analysis (MCDA) methodology is repeatable and can be used for further research in other voivodeships in Poland and other countries. International and Polish investors and renewable energy sources (RESs) developers can use the research results to select new locations for investments that fit their strategy in the local market.

Suggested Citation

  • Artur Amsharuk & Grażyna Łaska, 2023. "The Approach to Finding Locations for Wind Farms Using GIS and MCDA: Case Study Based on Podlaskie Voivodeship, Poland," Energies, MDPI, vol. 16(20), pages 1-24, October.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:20:p:7107-:d:1260711
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    References listed on IDEAS

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    1. Enevoldsen, Peter & Sovacool, Benjamin K., 2016. "Examining the social acceptance of wind energy: Practical guidelines for onshore wind project development in France," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 178-184.
    2. Hugo Díaz & Carlos Guedes Soares, 2021. "A Multi-Criteria Approach to Evaluate Floating Offshore Wind Farms Siting in the Canary Islands (Spain)," Energies, MDPI, vol. 14(4), pages 1-18, February.
    3. Artur Amsharuk & Grażyna Łaska, 2022. "A Review: Existing Methods for Solving Spatial Planning Problems for Wind Turbines in Poland," Energies, MDPI, vol. 15(23), pages 1-20, November.
    4. Sotiropoulou, Kalliopi F. & Vavatsikos, Athanasios P., 2021. "Onshore wind farms GIS-Assisted suitability analysis using PROMETHEE II," Energy Policy, Elsevier, vol. 158(C).
    5. Aras, Haydar & Erdoğmuş, Şenol & Koç, Eylem, 2004. "Multi-criteria selection for a wind observation station location using analytic hierarchy process," Renewable Energy, Elsevier, vol. 29(8), pages 1383-1392.
    6. Richard J. Vyn & Ryan M. McCullough, 2014. "The Effects of Wind Turbines on Property Values in Ontario: Does Public Perception Match Empirical Evidence?," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 62(3), pages 365-392, September.
    7. Murcia, Juan Pablo & Koivisto, Matti Juhani & Luzia, Graziela & Olsen, Bjarke T. & Hahmann, Andrea N. & Sørensen, Poul Ejnar & Als, Magnus, 2022. "Validation of European-scale simulated wind speed and wind generation time series," Applied Energy, Elsevier, vol. 305(C).
    8. Mirosława Witkowska-Dabrowska & Natalia Świdyńska & Agnieszka Napiórkowska-Baryła, 2021. "Attitudes of Communities in Rural Areas towards the Development of Wind Energy," Energies, MDPI, vol. 14(23), pages 1-24, December.
    9. Bora Erdamar & José Luis Garcia-Lapresta & David Pérez-Roman & Remzi Sanver, 2012. "Measuring consensus in a preference-approval context," Working Papers hal-00681297, HAL.
    10. Izabela Horzela & Sławomir Gromadzki & Jarosław Gryz & Tomasz Kownacki & Aneta Nowakowska-Krystman & Marzena Piotrowska-Trybull & Radosław Wisniewski, 2021. "Energy Portfolio of the Eastern Poland Macroregion in the European Union," Energies, MDPI, vol. 14(24), pages 1-28, December.
    11. Waldemar Kuczyński & Katarzyna Wolniewicz & Henryk Charun, 2021. "Analysis of the Wind Turbine Selection for the Given Wind Conditions," Energies, MDPI, vol. 14(22), pages 1-16, November.
    12. Latinopoulos, D. & Kechagia, K., 2015. "A GIS-based multi-criteria evaluation for wind farm site selection. A regional scale application in Greece," Renewable Energy, Elsevier, vol. 78(C), pages 550-560.
    13. Marta Resak & Barbara Rogosz & Jacek Szczepiński & Mariusz Dziamara, 2022. "Legal Conditions for Investments in Renewable Energy in the Overburden Disposal Areas in Poland," Sustainability, MDPI, vol. 14(3), pages 1-24, January.
    14. 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.
    15. Katarzyna Wolniewicz & Adam Zagubień & Mirosław Wesołowski, 2021. "Energy and Acoustic Environmental Effective Approach for a Wind Farm Location," Energies, MDPI, vol. 14(21), pages 1-17, November.
    16. Santos-Alamillos, F.J. & Pozo-Vázquez, D. & Ruiz-Arias, J.A. & Lara-Fanego, V. & Tovar-Pescador, J., 2014. "A methodology for evaluating the spatial variability of wind energy resources: Application to assess the potential contribution of wind energy to baseload power," Renewable Energy, Elsevier, vol. 69(C), pages 147-156.
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