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Large scale technical and economical assessment of wind energy potential with a GIS tool: Case study Iowa

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  • Grassi, Stefano
  • Chokani, Ndaona
  • Abhari, Reza S.

Abstract

The development of new wind energy projects requires a thorough analysis of land use issues and constraints. At ETH Zurich, an analytical approach has been developed using a Geographic Information System (GIS) to define the location of suitable sites for wind projects and to predict their economic exploitable energy production. The purpose is to estimate the average Annual Energy Production (AEP), with a GIS customized tool, based on physical factors (environmental and anthropological constraints), the wind resource distribution and the technical specifications of the large-scale wind turbines currently present in the US market. Economics data and regulatory parameters are also included. The wind energy potential of the state of Iowa has been estimated: the resulting average AEP of Iowa is 914TWh and the potential total installed capacity is 302GW. A sensitivity analysis of the influence of the Power Purchase Agreement (PPA) shows that a PPA of 6.5c$/kWh would enable to exploit the 85% of the buildable land with an IRR greater than 15%. This approach is applicable to both larger and more limited regions in order to support energy planners and wind farm developers to set energy strategies and to scout new profitable lands.

Suggested Citation

  • Grassi, Stefano & Chokani, Ndaona & Abhari, Reza S., 2012. "Large scale technical and economical assessment of wind energy potential with a GIS tool: Case study Iowa," Energy Policy, Elsevier, vol. 45(C), pages 73-85.
    • Handle: RePEc:eee:enepol:v:45:y:2012:i:c:p:73-85
    DOI: 10.1016/j.enpol.2012.01.061
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    1. Jobert, Arthur & Laborgne, Pia & Mimler, Solveig, 2007. "Local acceptance of wind energy: Factors of success identified in French and German case studies," Energy Policy, Elsevier, vol. 35(5), pages 2751-2760, May.
    2. Janke, Jason R., 2010. "Multicriteria GIS modeling of wind and solar farms in Colorado," Renewable Energy, Elsevier, vol. 35(10), pages 2228-2234.
    3. Yue, Cheng-Dar & Yang, Grant Gwo-Liang, 2007. "Decision support system for exploiting local renewable energy sources: A case study of the Chigu area of southwestern Taiwan," Energy Policy, Elsevier, vol. 35(1), pages 383-394, January.
    4. Farrugia, R.N., 2003. "The wind shear exponent in a Mediterranean island climate," Renewable Energy, Elsevier, vol. 28(4), pages 647-653.
    5. Wolsink, Maarten, 2007. "Wind power implementation: The nature of public attitudes: Equity and fairness instead of 'backyard motives'," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(6), pages 1188-1207, August.
    6. Wiser, Ryan & Namovicz, Christopher & Gielecki, Mark & Smith, Robert, 2007. "The Experience with Renewable Portfolio Standards in the United States," The Electricity Journal, Elsevier, vol. 20(4), pages 8-20, May.
    7. Sliz-Szkliniarz, Beata & Vogt, Joachim, 2011. "GIS-based approach for the evaluation of wind energy potential: A case study for the Kujawsko-Pomorskie Voivodeship," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(3), pages 1696-1707, April.
    8. 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.
    9. Bishop, Ian D. & Stock, Christian, 2010. "Using collaborative virtual environments to plan wind energy installations," Renewable Energy, Elsevier, vol. 35(10), pages 2348-2355.
    10. Gamboa, Gonzalo & Munda, Giuseppe, 2007. "The problem of windfarm location: A social multi-criteria evaluation framework," Energy Policy, Elsevier, vol. 35(3), pages 1564-1583, March.
    11. Dutra, Ricardo & Szklo, Alexandre, 2008. "Assessing long-term incentive programs for implementing wind power in Brazil using GIS rule-based methods," Renewable Energy, Elsevier, vol. 33(12), pages 2507-2515.
    12. Rodman, Laura C. & Meentemeyer, Ross K., 2006. "A geographic analysis of wind turbine placement in Northern California," Energy Policy, Elsevier, vol. 34(15), pages 2137-2149, October.
    13. Baban, Serwan M.J & Parry, Tim, 2001. "Developing and applying a GIS-assisted approach to locating wind farms in the UK," Renewable Energy, Elsevier, vol. 24(1), pages 59-71.
    14. 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.
    15. Aydin, Nazli Yonca & Kentel, Elcin & Duzgun, Sebnem, 2010. "GIS-based environmental assessment of wind energy systems for spatial planning: A case study from Western Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(1), pages 364-373, January.
    16. Jones, Christopher R. & Richard Eiser, J., 2010. "Understanding 'local' opposition to wind development in the UK: How big is a backyard?," Energy Policy, Elsevier, vol. 38(6), pages 3106-3117, June.
    17. Voivontas, D. & Assimacopoulos, D. & Mourelatos, A. & Corominas, J., 1998. "Evaluation of Renewable Energy potential using a GIS decision support system," Renewable Energy, Elsevier, vol. 13(3), pages 333-344.
    18. Clarke, J.A. & Grant, A.D., 1996. "Planning support tools for the integration of renewable energy at the regional level," Renewable Energy, Elsevier, vol. 9(1), pages 1090-1093.
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