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Assessing long-term incentive programs for implementing wind power in Brazil using GIS rule-based methods

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  • Dutra, Ricardo
  • Szklo, Alexandre

Abstract

Brazil's wind power potential is impressive. The incentive policies that have being implemented in the country, since the last decade, promoted the implementation of some projects, mainly through the Alternative Energy Sources Incentive Program (PROINFA), which started in 2002. After the first phase of PROINFA, the wind power sector in Brazil is still waiting for a new long-term program. By applying a GIS model to the available wind database, this paper evaluates three long-term incentive programs to wind power in Brazil, according to specific targets and criterion. The first target was to reduce the emissions of greenhouse gases from the electricity generation, through the replacement of fossil fuels fired-thermal plants. In this case, an incentive program based on quotes and permits would install a wind capacity hovering between 18.7 and 28.9GW. For the target of optimizing the operation of Brazil's hydropower reservoirs, a program based on feed-in tariffs would result in the installed capacity of 15.5–65.4GW, depending on the criterion for selecting the projects. Finally, considering only the target of fostering a domestic wind technology industry, the installed capacity would vary between 29.1 and 217.1, depending on the criterion for selecting the projects.

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  • 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.
    • Handle: RePEc:eee:renene:v:33:y:2008:i:12:p:2507-2515
    DOI: 10.1016/j.renene.2008.02.017
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    2. Shafiullah, Md & Rahman, Syed Masiur & Mortoja, Md. Golam & Al-Ramadan, Baqer, 2016. "Role of spatial analysis technology in power system industry: An overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 584-595.
    3. Gomes, Gabriel Lourenço & Szklo, Alexandre & Schaeffer, Roberto, 2009. "The impact of CO2 taxation on the configuration of new refineries: An application to Brazil," Energy Policy, Elsevier, vol. 37(12), pages 5519-5529, December.
    4. Jane Ebinger & Walter Vergara, 2011. "Climate Impacts on Energy Systems : Key Issues for Energy Sector Adaptation," World Bank Publications - Books, The World Bank Group, number 2271.
    5. Hsu, Chiung-Wen & Ho, Shu-Ping, 2016. "Assessing feed-in tariffs on wind power installation and industry development in Taiwan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 548-557.
    6. Miranda, Raul & Simoes, Sofia & Szklo, Alexandre & Schaeffer, Roberto, 2019. "Adding detailed transmission constraints to a long-term integrated assessment model – A case study for Brazil using the TIMES model," Energy, Elsevier, vol. 167(C), pages 791-803.
    7. Celiktas, Melih Soner & Kocar, Gunnur, 2009. "A quadratic helix approach to evaluate the Turkish renewable energies," Energy Policy, Elsevier, vol. 37(11), pages 4959-4965, November.
    8. Schaeffer, Roberto & Szklo, Alexandre Salem & Pereira de Lucena, André Frossard & Moreira Cesar Borba, Bruno Soares & Pupo Nogueira, Larissa Pinheiro & Fleming, Fernanda Pereira & Troccoli, Alberto & , 2012. "Energy sector vulnerability to climate change: A review," Energy, Elsevier, vol. 38(1), pages 1-12.
    9. Juárez, Alberto Aquino & Araújo, Alex Maurício & Rohatgi, Janardan Singh & de Oliveira Filho, Oyama Douglas Queiroz, 2014. "Development of the wind power in Brazil: Political, social and technical issues," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 828-834.
    10. Arnette, Andrew N. & Zobel, Christopher W., 2011. "Spatial analysis of renewable energy potential in the greater southern Appalachian mountains," Renewable Energy, Elsevier, vol. 36(11), pages 2785-2798.
    11. Alishahi, E. & Moghaddam, M. Parsa & Sheikh-El-Eslami, M.K., 2012. "A system dynamics approach for investigating impacts of incentive mechanisms on wind power investment," Renewable Energy, Elsevier, vol. 37(1), pages 310-317.
    12. 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.
    13. Soares M.C. Borba, Bruno & Szklo, Alexandre & Schaeffer, Roberto, 2012. "Plug-in hybrid electric vehicles as a way to maximize the integration of variable renewable energy in power systems: The case of wind generation in northeastern Brazil," Energy, Elsevier, vol. 37(1), pages 469-481.
    14. Mekonnen, Addisu D. & Gorsevski, Pece V., 2015. "A web-based participatory GIS (PGIS) for offshore wind farm suitability within Lake Erie, Ohio," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 162-177.
    15. Pereira de Lucena, André Frossard & Szklo, Alexandre Salem & Schaeffer, Roberto & Dutra, Ricardo Marques, 2010. "The vulnerability of wind power to climate change in Brazil," Renewable Energy, Elsevier, vol. 35(5), pages 904-912.
    16. Grassi, Stefano & Junghans, Sven & Raubal, Martin, 2014. "Assessment of the wake effect on the energy production of onshore wind farms using GIS," Applied Energy, Elsevier, vol. 136(C), pages 827-837.

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