IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v115y2014icp103-115.html
   My bibliography  Save this article

Cost-potential curves for onshore wind energy: A high-resolution analysis for Germany

Author

Listed:
  • McKenna, R.
  • Hollnaicher, S.
  • Fichtner, W.

Abstract

Germany has set itself some very ambitious targets for energy supply from renewable sources, including 80% of electricity by 2050. The favourable economic political framework for renewable technologies has led to the rapid expansion of onshore wind and other renewables in the past years. Motivated by the lack of recent studies dealing with this issue, this paper determines the current potentials and costs for onshore wind in Germany. The developed methodology allocates a wind turbine to a specific location based on the prevailing wind conditions and the surface roughness, compared to previous studies, which assume that one or two turbines is/are installed overall. Cost-potential curves for wind energy are thus generated on a highly disaggregated level (at least 1km2) based on various discount rates. The technical potential is around 860TWh/a and the associated generation costs lie in the range from 5 to 15€ct/kWh, depending upon the degree of risk-adversity and cost of capital. This implies a currently economic potential of 400–800TWh/a. The main uncertainties lie in the effect of small areas on the total potential. Further work should therefore focus on developing a clustering method for these small areas, considering the exact location of installed turbines and attempting to account for social barriers (and therefore social costs) to the development of wind energy.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:appene:v:115:y:2014:i:c:p:103-115
    DOI: 10.1016/j.apenergy.2013.10.030
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261913008507
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2013.10.030?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. Blanco, María Isabel, 2009. "The economics of wind energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(6-7), pages 1372-1382, August.
    5. Ladenburg, Jacob & Dahlgaard, Jens-Olav, 2012. "Attitudes, threshold levels and cumulative effects of the daily wind-turbine encounters," Applied Energy, Elsevier, vol. 98(C), pages 40-46.
    6. Wang, Zhongying & Qin, Haiyan & Lewis, Joanna I., 2012. "China's wind power industry: Policy support, technological achievements, and emerging challenges," Energy Policy, Elsevier, vol. 51(C), pages 80-88.
    7. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. 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).
    3. McKenna, R. & Ostman v.d. Leye, P. & Fichtner, W., 2016. "Key challenges and prospects for large wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1212-1221.
    4. 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.
    5. 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.
    6. Gardt Manuel & Broekel Tom & Gareis Philipp & Litmeyer Marie-Louise, 2018. "Einfluss von Windenergieanlagen auf die Entwicklung des Tourismus in Hessen," ZFW – Advances in Economic Geography, De Gruyter, vol. 62(1), pages 46-64, March.
    7. Silva Herran, Diego & Dai, Hancheng & Fujimori, Shinichiro & Masui, Toshihiko, 2016. "Global assessment of onshore wind power resources considering the distance to urban areas," Energy Policy, Elsevier, vol. 91(C), pages 75-86.
    8. 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.
    9. Jung, Christopher & Schindler, Dirk, 2022. "On the influence of wind speed model resolution on the global technical wind energy potential," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    10. Zerrahn, Alexander, 2017. "Wind Power and Externalities," Ecological Economics, Elsevier, vol. 141(C), pages 245-260.
    11. 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.
    12. 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.
    13. Bhutto, Abdul Waheed & Bazmi, Aqeel Ahmed & Zahedi, Gholamreza, 2013. "Greener energy: Issues and challenges for Pakistan—wind power prospective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 519-538.
    14. Gass, V. & Strauss, F. & Schmidt, J. & Schmid, E., 2011. "Assessing the effect of wind power uncertainty on profitability," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 2677-2683, August.
    15. Astrid Buchmayr & Luc Van Ootegem & Jo Dewulf & Elsy Verhofstadt, 2021. "Understanding Attitudes towards Renewable Energy Technologies and the Effect of Local Experiences," Energies, MDPI, vol. 14(22), pages 1-23, November.
    16. Broekel, Tom & Alfken, Christoph, 2015. "Gone with the wind? The impact of wind turbines on tourism demand," Energy Policy, Elsevier, vol. 86(C), pages 506-519.
    17. Betakova, Vendula & Vojar, Jiri & Sklenicka, Petr, 2015. "Wind turbines location: How many and how far?," Applied Energy, Elsevier, vol. 151(C), pages 23-31.
    18. Joselin Herbert, G.M. & Iniyan, S. & Amutha, D., 2014. "A review of technical issues on the development of wind farms," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 619-641.
    19. Schallenberg-Rodriguez, Julieta, 2013. "A methodological review to estimate techno-economical wind energy production," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 272-287.
    20. Ladenburg, Jacob & Lutzeyer, Sanja, 2012. "The economics of visual disamenity reductions of offshore wind farms—Review and suggestions from an emerging field," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(9), pages 6793-6802.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:115:y:2014:i:c:p:103-115. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.