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Onshore wind energy in Baden-Württemberg: a bottom-up economic assessment of the socio-technical potential

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  • Jäger, Tobias
  • McKenna, Russell
  • Fichtner, Wolf

Abstract

Detailed information about the potentials and costs of renewable energies is an important input factor for energy system models, as well as commercial and political decision-making processes. With its increasing locally installed capacity and hub height, wind energy plays an important role when it comes to meeting climate targets and optimizing electricity networks. Recently however, wind energy has faced more and more social barriers and land use constraints which can negatively impact both political goals and investment decisions. Therefore this work presents a bottom-up methodology based on graph-theoretical considerations to account for social barriers to estimate the socio-technical potential and the associated costs on a wind farm level. Calculations are conducted for the German federal state of Baden-Württemberg as a case study and are based on high resolution land use and wind speed data, using an algorithm to place wind parks by considering further constraints relating to land use planning. The socio-technical potential is found to be less than half that of previous studies that neglect these constraints, i.e. between 11.8 and 29.4 TWh, with costs between 7 and 14 €ct/kWh. A sensitivity analysis reveals a strong dependency of the overall socio-technical potential as well as its distribution across the federal state. In order to test the quality of the algorithm, already existing and planned wind parks were compared to modeled wind park locations and a very good correlation could be observed. The focus in future work should lie on the development of an economic criterion, which unlike the LCOE is able to account for the system costs of a widespread wind energy development, including network expansion, balancing power and reserve energy costs.

Suggested Citation

  • 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).
    • Handle: RePEc:zbw:kitiip:7
    DOI: 10.5445/IR/1000047348
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    References listed on IDEAS

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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. 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.
    3. Ueckerdt, Falko & Hirth, Lion & Luderer, Gunnar & Edenhofer, Ottmar, 2013. "System LCOE: What are the costs of variable renewables?," Energy, Elsevier, vol. 63(C), pages 61-75.
    4. Fueyo, Norberto & Sanz, Yosune & Rodrigues, Marcos & Montañés, Carlos & Dopazo, César, 2011. "The use of cost-generation curves for the analysis of wind electricity costs in Spain," Applied Energy, Elsevier, vol. 88(3), pages 733-740, March.
    5. Nguyen, Khanh Q., 2007. "Wind energy in Vietnam: Resource assessment, development status and future implications," Energy Policy, Elsevier, vol. 35(2), pages 1405-1413, February.
    6. 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.
    7. Molnarova, Kristina & Sklenicka, Petr & Stiborek, Jiri & Svobodova, Kamila & Salek, Miroslav & Brabec, Elizabeth, 2012. "Visual preferences for wind turbines: Location, numbers and respondent characteristics," Applied Energy, Elsevier, vol. 92(C), pages 269-278.
    8. Grothe, Oliver & Müsgens, Felix, 2013. "The influence of spatial effects on wind power revenues under direct marketing rules," Energy Policy, Elsevier, vol. 58(C), pages 237-247.
    9. 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.
    10. Gass, Viktoria & Schmidt, Johannes & Strauss, Franziska & Schmid, Erwin, 2013. "Assessing the economic wind power potential in Austria," Energy Policy, Elsevier, vol. 53(C), pages 323-330.
    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. Schallenberg-Rodríguez, Julieta & Notario-del Pino, Jesús, 2014. "Evaluation of on-shore wind techno-economical potential in regions and islands," Applied Energy, Elsevier, vol. 124(C), pages 117-129.
    13. Staffell, Iain & Green, Richard, 2014. "How does wind farm performance decline with age?," Renewable Energy, Elsevier, vol. 66(C), pages 775-786.
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