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Evaluation of hydro-wind complementarity in the Brazilian territory by means of correlation maps

Mauricio P. Cantão, Marcelo R. Bessa, Renê Bettega, Daniel H.M. Detzel and João M. Lima

Renewable Energy, 2017, vol. 101, issue C, 1215-1225

Abstract: The present work introduces hydro-wind correlation maps of Brazil calculated with wind speed data from weather stations and the registered historical natural inflows. The building of hydro-wind correlation maps was based on Voronoi cells, associated with values of correlation coefficients between seasonally averaged wind speeds and stream flows. We carried out four different correlation analyses. From the computed hydrologic correlation, we determined the most representative hydropower plants for each Brazilian basin. The wind correlation analysis confirmed the high similarity of the wind regimes throughout the country, but showed that the space variability is higher than the time variability. Local hydro-wind correlation analysis refers to the correlation between a basin's representative stream flow and the weather stations inside the same basin. The non-local analysis involved the correlation for each different stream flow regime with wind speed data from all the weather stations. Hydro-wind correlation maps are quantitative and more intuitive than previous analyses of wind and hydropower complementarity. By their use, it is possible to discern different behaviors for hydro-wind correlation throughout the Brazilian territory, either confirming previous results or identifying new features. Two examples show that hydro-wind correlation maps can be useful for operation and the expansion strategies.

Keywords: Wind power; Hydropower; Complementarity; Correlation maps (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (30)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:101:y:2017:i:c:p:1215-1225

DOI: 10.1016/j.renene.2016.10.012

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