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Combing windpower and hydropower to decrease seasonal and inter-annual availability of renewable energy sources in Brazil

Author

Listed:
  • Schmidt, Johannes
  • Cancella, Rafael
  • Junior, Amaro Olímpio Pereira
Abstract
A high share of Brazilian power production comes from hydropower sources. A further expansion of power generation is necessary due to high growth rates in electricity demand. As an alternative to carbon intensive thermal power production and the expansion of hydropower in the ecologically and socially sensitive North of Brazil, windpower production could help to cover increasing levels of demand. Variability of wind is however often considered a major obstacle for further expansion. We assess the variability of potential windpower production in the four most important windpower producing states Ceará (CE), Rio Grande do Norte (RN), Bahia (BA) and Rio Grande do Sul (RS). Instead of focusing on hourly or sub-hourly variability, we assess the seasonality and inter-annual variability. This is important as hydropower production shows strong seasonality in Brazil and as inter-annual variation of hydropower production is high. We generate and validate time series of windpower production from wind speeds derived from measurements and two global climate models (NCAR reanalysis and ECMWF reanalysis). Our results show that seasonal variability of windpower generation in the North-Eastern states is anticyclical to hydrological seasonality in the South-East, North-East, and North of Brazil. Inter-annual variability is lower for windpower production than for hydro inflows. No consistent inter-annual relationship between the two sources of renewable energy can be found with the exemption of the state of Ceará which shows low positive correlation with hydro inflows. This indicates that although integrating windpower into the system may cause electrical problems due to very short term variability, seasonal and inter-annual variability is considerably decreased if windpower expansion is favoured instead of hydropower. Our results also show that ECMWF data may be the best source of long-term wind timeseries as it is better able to reproduce ground measurements than NCAR.

Suggested Citation

  • Schmidt, Johannes & Cancella, Rafael & Junior, Amaro Olímpio Pereira, 2014. "Combing windpower and hydropower to decrease seasonal and inter-annual availability of renewable energy sources in Brazil," Discussion Papers DP-56-2014, University of Natural Resources and Life Sciences, Vienna, Department of Economics and Social Sciences, Institute for Sustainable Economic Development.
    • Handle: RePEc:zbw:inwedp:dp562014
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    References listed on IDEAS

    as
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    7. Schmidt, J. & Lehecka, G. & Gass, V. & Schmid, E., 2013. "Where the wind blows: Assessing the effect of fixed and premium based feed-in tariffs on the spatial diversification of wind turbines," Energy Economics, Elsevier, vol. 40(C), pages 269-276.
    8. Purvins, Arturs & Zubaryeva, Alyona & Llorente, Maria & Tzimas, Evangelos & Mercier, Arnaud, 2011. "Challenges and options for a large wind power uptake by the European electricity system," Applied Energy, Elsevier, vol. 88(5), pages 1461-1469, May.
    9. Chade Ricosti, Juliana F. & Sauer, Ildo L., 2013. "An assessment of wind power prospects in the Brazilian hydrothermal system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 742-753.
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    Cited by:

    1. Karadöl, İsrafil & Yıldız, Ceyhun & Şekkeli, Mustafa, 2021. "Determining optimal spatial and temporal complementarity between wind and hydropower," Energy, Elsevier, vol. 230(C).
    2. Schmidt, Johannes & Cancella, Rafael & Junior, Amaro Olímpio Pereira, 2014. "An optimal mix of solar PV, wind and hydro power for a low-carbon electricity supply in Brazil," Discussion Papers DP-57-2014, University of Natural Resources and Life Sciences, Vienna, Department of Economics and Social Sciences, Institute for Sustainable Economic Development.
    3. Ricardo J. Bessa & Corinna Möhrlen & Vanessa Fundel & Malte Siefert & Jethro Browell & Sebastian Haglund El Gaidi & Bri-Mathias Hodge & Umit Cali & George Kariniotakis, 2017. "Towards Improved Understanding of the Applicability of Uncertainty Forecasts in the Electric Power Industry," Energies, MDPI, vol. 10(9), pages 1-48, September.
    4. Schmidt, Johannes & Cancella, Rafael & Pereira, Amaro O., 2016. "An optimal mix of solar PV, wind and hydro power for a low-carbon electricity supply in Brazil," Renewable Energy, Elsevier, vol. 85(C), pages 137-147.
    5. repec:zbw:inwedp:572014 is not listed on IDEAS
    6. Cantão, Mauricio P. & Bessa, Marcelo R. & Bettega, Renê & Detzel, Daniel H.M. & Lima, João M., 2017. "Evaluation of hydro-wind complementarity in the Brazilian territory by means of correlation maps," Renewable Energy, Elsevier, vol. 101(C), pages 1215-1225.

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    More about this item

    Keywords

    Windpower; Brazil; Seasonality; Inter-annual variability;
    All these keywords.

    JEL classification:

    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources

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