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Assessing the cost of onshore wind development scenarios: Modelling of spatial and temporal distribution of wind power for the case of Poland

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  • Sliz-Szkliniarz, B.
  • Eberbach, J.
  • Hoffmann, B.
  • Fortin, M.

Abstract

Wind energy plays a key role in the transition to a low-carbon European energy system. The implementation of European and national targets for wind energy expansion is, however, challenged by technical, environmental, economic and social acceptance aspects. Further research on wind power expansion is compelled due to dynamic aspects such as land-use fluctuations, evolution of wind turbine technology, associated cost, and other factors. For that reason, a systematic approach for exploring future scenarios of onshore wind power development under techno-economic aspects and quantitative aspects of social acceptance (distributive justice and regulatory framework) was developed. The model was developed in Python, PostgreSQL and SQliteDB and encompasses a high-resolution GIS-based assessment of potential locations for wind turbines. Homogenous input data allows for analysing the wind power potential across Europe. Poland was chosen as a case study to examine the impact of the distance regulation introduced in 2016 and its subsequent amendments, which are relevant for onshore wind power development foreseen in the EU reference scenario 2016 for 2030. The findings show that Poland can reach the target of 10.3 GW set by the EU scenario at Levelized Cost of Electricity below €60/MWh. The transparent modelling framework and findings can support the decision making process on wind energy expansion, which is in the hands of policy makers, private investors and local citizens.

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  • Sliz-Szkliniarz, B. & Eberbach, J. & Hoffmann, B. & Fortin, M., 2019. "Assessing the cost of onshore wind development scenarios: Modelling of spatial and temporal distribution of wind power for the case of Poland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 514-531.
  • Handle: RePEc:eee:rensus:v:109:y:2019:i:c:p:514-531
    DOI: 10.1016/j.rser.2019.04.039
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    1. McKenna, R. & Hollnaicher, S. & Fichtner, W., 2014. "Cost-potential curves for onshore wind energy: A high-resolution analysis for Germany," Applied Energy, Elsevier, vol. 115(C), pages 103-115.
    2. van der Horst, Dan, 2007. "NIMBY or not? Exploring the relevance of location and the politics of voiced opinions in renewable energy siting controversies," Energy Policy, Elsevier, vol. 35(5), pages 2705-2714, May.
    3. Jäger, Tobias & McKenna, Russell & Fichtner, Wolf, 2016. "The feasible onshore wind energy potential in Baden-Württemberg: A bottom-up methodology considering socio-economic constraints," Renewable Energy, Elsevier, vol. 96(PA), pages 662-675.
    4. Masurowski, Frank & Drechsler, Martin & Frank, Karin, 2016. "A spatially explicit assessment of the wind energy potential in response to an increased distance between wind turbines and settlements in Germany," Energy Policy, Elsevier, vol. 97(C), pages 343-350.
    5. Hirth, Lion & Ueckerdt, Falko & Edenhofer, Ottmar, 2015. "Integration costs revisited – An economic framework for wind and solar variability," Renewable Energy, Elsevier, vol. 74(C), pages 925-939.
    6. van Haaren, Rob & Fthenakis, Vasilis, 2011. "GIS-based wind farm site selection using spatial multi-criteria analysis (SMCA): Evaluating the case for New York State," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(7), pages 3332-3340, September.
    7. Wolsink, Maarten, 2007. "Wind power implementation: The nature of public attitudes: Equity and fairness instead of 'backyard motives'," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(6), pages 1188-1207, August.
    8. Zoellner, Jan & Schweizer-Ries, Petra & Wemheuer, Christin, 2008. "Public acceptance of renewable energies: Results from case studies in Germany," Energy Policy, Elsevier, vol. 36(11), pages 4136-4141, November.
    9. Conroy, Niamh & Deane, J.P. & Ó Gallachóir, Brian P., 2011. "Wind turbine availability: Should it be time or energy based? – A case study in Ireland," Renewable Energy, Elsevier, vol. 36(11), pages 2967-2971.
    10. Sovacool, Benjamin K. & Lakshmi Ratan, Pushkala, 2012. "Conceptualizing the acceptance of wind and solar electricity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 5268-5279.
    11. McKenna, R. & Hollnaicher, S. & Ostman v. d. Leye, P. & Fichtner, W., 2015. "Cost-potentials for large onshore wind turbines in Europe," Energy, Elsevier, vol. 83(C), pages 217-229.
    12. Liebe, Ulf & Bartczak, Anna & Meyerhoff, Jürgen, 2017. "A turbine is not only a turbine: The role of social context and fairness characteristics for the local acceptance of wind power," Energy Policy, Elsevier, vol. 107(C), pages 300-308.
    13. Hoogwijk, Monique & de Vries, Bert & Turkenburg, Wim, 2004. "Assessment of the global and regional geographical, technical and economic potential of onshore wind energy," Energy Economics, Elsevier, vol. 26(5), pages 889-919, September.
    14. González-Longatt, F. & Wall, P. & Terzija, V., 2012. "Wake effect in wind farm performance: Steady-state and dynamic behavior," Renewable Energy, Elsevier, vol. 39(1), pages 329-338.
    15. Lee, Amy H.I. & Chen, Hsing Hung & Kang, He-Yau, 2009. "Multi-criteria decision making on strategic selection of wind farms," Renewable Energy, Elsevier, vol. 34(1), pages 120-126.
    16. Sliz-Szkliniarz, Beata & Vogt, Joachim, 2011. "GIS-based approach for the evaluation of wind energy potential: A case study for the Kujawsko-Pomorskie Voivodeship," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(3), pages 1696-1707, April.
    17. Staffell, Iain & Green, Richard, 2014. "How does wind farm performance decline with age?," Renewable Energy, Elsevier, vol. 66(C), pages 775-786.
    18. Alhamwi, Alaa & Medjroubi, Wided & Vogt, Thomas & Agert, Carsten, 2017. "GIS-based urban energy systems models and tools: Introducing a model for the optimisation of flexibilisation technologies in urban areas," Applied Energy, Elsevier, vol. 191(C), pages 1-9.
    19. Höltinger, Stefan & Salak, Boris & Schauppenlehner, Thomas & Scherhaufer, Patrick & Schmidt, Johannes, 2016. "Austria's wind energy potential – A participatory modeling approach to assess socio-political and market acceptance," Energy Policy, Elsevier, vol. 98(C), pages 49-61.
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