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Wind energy potential in southern Sweden—Example of planning methodology

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  • Hillring, Bengt
  • Krieg, Roland

Abstract

This study presents a planning model for Swedish activities in the field of wind power. Models and results of calculations of the land-based wind energy potential with the Wind Atlas Analysis and Application Programme, WAsP, are described and analysed in a geographical information systems (GIS) called the ArcView® GIS system. One county in southern Sweden was chosen as a case study to present the methods used. The results from that case study indicate a great wind energy potential but there are nevertheless many factors limiting that potential. The study calls for a further development of planning tools in the field. Important areas for the future are the development of knowledge in market issues, wind power technology, environmental issues, and public opinion on constructing wind turbines.

Suggested Citation

  • Hillring, Bengt & Krieg, Roland, 1998. "Wind energy potential in southern Sweden—Example of planning methodology," Renewable Energy, Elsevier, vol. 13(4), pages 471-479.
    • Handle: RePEc:eee:renene:v:13:y:1998:i:4:p:471-479
    DOI: 10.1016/S0960-1481(98)00027-5
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    1. Lejeune, P. & Feltz, C., 2008. "Development of a decision support system for setting up a wind energy policy across the Walloon Region (southern Belgium)," Renewable Energy, Elsevier, vol. 33(11), pages 2416-2422.
    2. Hossain, Jami & Sinha, Vinay & Kishore, V.V.N., 2011. "A GIS based assessment of potential for windfarms in India," Renewable Energy, Elsevier, vol. 36(12), pages 3257-3267.
    3. Birgir Freyr Ragnarsson & Gudmundur V. Oddsson & Runar Unnthorsson & Birgir Hrafnkelsson, 2015. "Levelized Cost of Energy Analysis of a Wind Power Generation System at Búrfell in Iceland," Energies, MDPI, vol. 8(9), pages 1-22, September.
    4. Ming-Hong Chen & Yan-Ting Lin & Pao-Hsiung Chiu & Ching-Chang Cho & Huei Chu Weng, 2020. "Wind Resources Assessment and Development of Grid Connected Wind Farm—A Case Study," Sustainability, MDPI, vol. 12(21), pages 1-15, October.
    5. Montes, German Martinez & Martin, Enrique Prados & Bayo, Javier Alegre & Garcia, Javier Ordoñez, 2011. "The applicability of computer simulation using Monte Carlo techniques in windfarm profitability analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4746-4755.
    6. Mari, Riccardo & Bottai, Lorenzo & Busillo, Caterina & Calastrini, Francesca & Gozzini, Bernardo & Gualtieri, Giovanni, 2011. "A GIS-based interactive web decision support system for planning wind farms in Tuscany (Italy)," Renewable Energy, Elsevier, vol. 36(2), pages 754-763.

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