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Effects of turbine technology and land use on wind power resource potential

Author

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  • Erkka Rinne

    (Smart Energy and Transport Solutions)

  • Hannele Holttinen

    (Smart Energy and Transport Solutions)

  • Juha Kiviluoma

    (Smart Energy and Transport Solutions)

  • Simo Rissanen

    (Smart Energy and Transport Solutions)

Abstract

Estimates of wind power potential are relevant for decision-making in energy policy and business. Such estimates are affected by several uncertain assumptions, most significantly related to wind turbine technology and land use. Here, we calculate the technical and economic onshore wind power potentials with the aim to evaluate the impact of such assumptions using the case-study area of Finland as an example. We show that the assumptions regarding turbine technology and land use policy are highly significant for the potential estimate. Modern turbines with lower specific ratings and greater hub heights improve the wind power potential considerably, even though it was assumed that the larger rotors decrease the installation density and increase the turbine investment costs. New technology also decreases the impact of strict land use policies. Uncertainty in estimating the cost of wind power technology limits the accuracy of assessing economic wind power potential.

Suggested Citation

  • Erkka Rinne & Hannele Holttinen & Juha Kiviluoma & Simo Rissanen, 2018. "Effects of turbine technology and land use on wind power resource potential," Nature Energy, Nature, vol. 3(6), pages 494-500, June.
    • Handle: RePEc:nat:natene:v:3:y:2018:i:6:d:10.1038_s41560-018-0137-9
    DOI: 10.1038/s41560-018-0137-9
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    Cited by:

    1. Mai, Trieu & Lopez, Anthony & Mowers, Matthew & Lantz, Eric, 2021. "Interactions of wind energy project siting, wind resource potential, and the evolution of the U.S. power system," Energy, Elsevier, vol. 223(C).
    2. Langer, Jannis & Zaaijer, Michiel & Quist, Jaco & Blok, Kornelis, 2023. "Introducing site selection flexibility to technical and economic onshore wind potential assessments: New method with application to Indonesia," Renewable Energy, Elsevier, vol. 202(C), pages 320-335.
    3. Christopher Jung & Dirk Schindler, 2023. "Reasons for the Recent Onshore Wind Capacity Factor Increase," Energies, MDPI, vol. 16(14), pages 1-17, July.
    4. McKenna, Russell & Pfenninger, Stefan & Heinrichs, Heidi & Schmidt, Johannes & Staffell, Iain & Bauer, Christian & Gruber, Katharina & Hahmann, Andrea N. & Jansen, Malte & Klingler, Michael & Landwehr, 2022. "High-resolution large-scale onshore wind energy assessments: A review of potential definitions, methodologies and future research needs," Renewable Energy, Elsevier, vol. 182(C), pages 659-684.
    5. McKenna, Russell & Weinand, Jann Michael & Mulalic, Ismir & Petrovic, Stefan & Mainzer, Kai & Preis, Tobias & Moat, Helen Susannah, 2020. "Improving renewable energy resource assessments by quantifying landscape beauty," Working Paper Series in Production and Energy 43, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
    6. Sebestyén, Viktor, 2021. "Renewable and Sustainable Energy Reviews: Environmental impact networks of renewable energy power plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    7. Giani, Paolo & Tagle, Felipe & Genton, Marc G. & Castruccio, Stefano & Crippa, Paola, 2020. "Closing the gap between wind energy targets and implementation for emerging countries," Applied Energy, Elsevier, vol. 269(C).
    8. Anne A. Gharaibeh & Deema A. Al-Shboul & Abdulla M. Al-Rawabdeh & Rasheed A. Jaradat, 2021. "Establishing Regional Power Sustainability and Feasibility Using Wind Farm Land-Use Optimization," Land, MDPI, vol. 10(5), pages 1-32, April.
    9. Dylan Harrison-Atlas & Galen Maclaurin & Eric Lantz, 2021. "Spatially-Explicit Prediction of Capacity Density Advances Geographic Characterization of Wind Power Technical Potential," Energies, MDPI, vol. 14(12), pages 1-28, June.
    10. Liu, Fa & Sun, Fubao & Wang, Xunming, 2023. "Impact of turbine technology on wind energy potential and CO2 emission reduction under different wind resource conditions in China," Applied Energy, Elsevier, vol. 348(C).
    11. Bompard, Ettore & Ciocia, Alessandro & Grosso, Daniele & Huang, Tao & Spertino, Filippo & Jafari, Mehdi & Botterud, Audun, 2022. "Assessing the role of fluctuating renewables in energy transition: Methodologies and tools," Applied Energy, Elsevier, vol. 314(C).
    12. Negrete, Moira & Fuentes, Marcelo & Kraslawski, Andrzej & Irarrazaval, Felipe & Herrera-León, Sebastián, 2024. "Socio-environmental implications of the decarbonization of copper and lithium mining and mineral processing," Resources Policy, Elsevier, vol. 95(C).
    13. Lopez, Anthony & Mai, Trieu & Lantz, Eric & Harrison-Atlas, Dylan & Williams, Travis & Maclaurin, Galen, 2021. "Land use and turbine technology influences on wind potential in the United States," Energy, Elsevier, vol. 223(C).
    14. Russell McKenna & Stefan Pfenninger & Heidi Heinrichs & Johannes Schmidt & Iain Staffell & Katharina Gruber & Andrea N. Hahmann & Malte Jansen & Michael Klingler & Natascha Landwehr & Xiaoli Guo Lars', 2021. "Reviewing methods and assumptions for high-resolution large-scale onshore wind energy potential assessments," Papers 2103.09781, arXiv.org.
    15. Hoen, Ben & Darlow, Ryan & Haac, Ryan & Rand, Joseph & Kaliski, Ken, 2023. "Effects of land-based wind turbine upsizing on community sound levels and power and energy density," Applied Energy, Elsevier, vol. 338(C).
    16. Pryor, Sara C. & Barthelmie, Rebecca J., 2024. "Wind shadows impact planning of large offshore wind farms," Applied Energy, Elsevier, vol. 359(C).
    17. Wehrle, Sebastian & Regner, Peter & Morawetz, Ulrich B. & Schmidt, Johannes, 2024. "Inferring local social cost from renewable zoning decisions. Evidence from Lower Austria’s wind power zoning," Energy Economics, Elsevier, vol. 139(C).
    18. Ji, Ling & Li, Jiahui & Sun, Lijian & Wang, Shuai & Guo, Junhong & Xie, Yulei & Wang, Xander, 2024. "China's onshore wind energy potential in the context of climate change," Renewable and Sustainable Energy Reviews, Elsevier, vol. 203(C).
    19. Wang, Ni & Verzijlbergh, Remco A. & Heijnen, Petra W. & Herder, Paulien M., 2020. "A spatially explicit planning approach for power systems with a high share of renewable energy sources," Applied Energy, Elsevier, vol. 260(C).
    20. 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.
    21. Hua, Ershi & Sun, Ruyi & Feng, Ping & Song, Lili & Han, Mengyao, 2024. "Optimizing onshore wind power installation within China via geographical multi-objective decision-making," Energy, Elsevier, vol. 307(C).
    22. Niina Helistö & Juha Kiviluoma & Hannele Holttinen & Jose Daniel Lara & Bri‐Mathias Hodge, 2019. "Including operational aspects in the planning of power systems with large amounts of variable generation: A review of modeling approaches," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 8(5), September.
    23. Yijing Wang & Rong Wang & Katsumasa Tanaka & Philippe Ciais & Josep Penuelas & Yves Balkanski & Jordi Sardans & Didier Hauglustaine & Junji Cao & Jianmin Chen & Lin Wang & Xu Tang & Renhe Zhang, 2025. "Global spatiotemporal optimization of photovoltaic and wind power to achieve the Paris Agreement targets," Nature Communications, Nature, vol. 16(1), pages 1-19, December.
    24. Nurullah Yildiz & Hassan Hemida & Charalampos Baniotopoulos, 2024. "Operation, Maintenance, and Decommissioning Cost in Life-Cycle Cost Analysis of Floating Wind Turbines," Energies, MDPI, vol. 17(6), pages 1-18, March.

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