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Determination of cost–potential-curves for wind energy in the German federal state of Baden-Württemberg

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  • McKenna, R.
  • Gantenbein, S.
  • Fichtner, W.

Abstract

The new federal government in the German federal state of Baden-Württemberg has set a target for 10% of gross electricity generation from wind energy by 2020. Given that currently around 0.1% of the electricity generation comes from wind energy, this paper examines the technical feasibility and economic costs associated with realising this goal. The technical potential for wind energy in Baden-Württemberg is determined, along with the costs of electricity generation, which together lead to the derivation of cost–potential-curves. The technical potential is calculated by identifying the available area with the aid of a geographical information system (GIS) and land use information. With the help of a regional wind atlas, turbine power curves and an assumed wind speed frequency distribution, the spatially distributed electricity generation potential on a district level is estimated. The costs of wind energy are investigated for the year 2010 and projected for the years 2020 and 2030 on the basis of learning curves. The result is a suitable area for wind energy of 2119km², which amounts to 5.9% of the total area of Baden-Württemberg. Depending on the wind turbine selected, a capacity of 18.5GW up to 24.5GW could be installed and depending on the hub height and the turbine, an electricity yield of 29.3TWh up to 40.7TWh could be generated. The costs of electricity, depending on the type of turbine and the average wind speed, but lie for 2010 between 3.99 and 21.42€-cents/kWh, reducing by 2030 to 3.33–17.84€-cents/kWh.

Suggested Citation

  • McKenna, R. & Gantenbein, S. & Fichtner, W., 2013. "Determination of cost–potential-curves for wind energy in the German federal state of Baden-Württemberg," Energy Policy, Elsevier, vol. 57(C), pages 194-203.
    • Handle: RePEc:eee:enepol:v:57:y:2013:i:c:p:194-203
    DOI: 10.1016/j.enpol.2013.01.043
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    References listed on IDEAS

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    1. Neij, Lena, 2008. "Cost development of future technologies for power generation--A study based on experience curves and complementary bottom-up assessments," Energy Policy, Elsevier, vol. 36(6), pages 2200-2211, June.
    2. 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.
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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. 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.
    3. Jäger, Tobias & McKenna, Russell & Fichtner, Wolf, 2015. "Onshore wind energy in Baden-Württemberg: a bottom-up economic assessment of the socio-technical potential," Working Paper Series in Production and Energy 7, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
    4. Astariz, S. & Perez-Collazo, C. & Abanades, J. & Iglesias, G., 2015. "Co-located wave-wind farms: Economic assessment as a function of layout," Renewable Energy, Elsevier, vol. 83(C), pages 837-849.
    5. 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.
    6. Nordensvärd, Johan & Urban, Frauke, 2015. "The stuttering energy transition in Germany: Wind energy policy and feed-in tariff lock-in," Energy Policy, Elsevier, vol. 82(C), pages 156-165.

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