abstract

• Energetic complementarity maps can be used to find sites with good potential for the combined electricity generation of two natural resources with high variability. This chapter reviews and compares the main correlation coefficients used to quantify the energetic complementarity between solar and wind resources in a specific region. The correlation metrics presented are the Pearson, Kendall, and Spearman correlation coefficients, as well as the canonical correlation analysis and the cross-correlation. These statistical metrics are applied to obtain the annual energetic complementarity map of Mexico. The results obtained using the different metrics are compared, highlighting the differences in the maps obtained, and the advantages and disadvantages of each metric. Also, in order to evaluate the accuracy of the metrics used, a comparison between the maps obtained and zones with photovoltaic and wind power plants already installed is presented. The results obtained show that it is recommended to use the Pearson correlation coefficient in this type of application because of its simplicity and precision. © 2022 Elsevier Inc. All rights reserved.

publication date

• 2022-01-01

published in

• Complementarity of Variable Renewable Energy Sources  Book

keywords

• Complementarity; Correlation coefficients; Photovoltaic solar energy; Renewable energy

Digital Object Identifier (DOI)

• 10.1016/B978-0-323-85527-3.00004-2

PubMed ID

start page

• 269

end page

• 290

volume

issue