Title
Methods for the characterization of the variability of solar and wind resource
DOI
https://doi.org/10.1007/978-3-030-53021-1_23
Document Type
Conference Proceeding
Publication Date
1-1-2021
Publication Title
Lecture Notes in Electrical Engineering
Abstract
In this paper, we propose the estimation of the electrical power that is possible generate using as primary source the energy from solar and wind resources, considering their variability. We use models from the specialized bibliography with the purpose of presenting a comparative study, and the data base is obtained from a meteorological station locate in Bogota, Colombia. For the solar variation, we consider especially two models, the linear regression by Angstrom-Prescott and the analysis of Bird and Hulstrom. In the estimation of wind energy, we used the Weibull model and the distribution of Rayleigh. Finally we present some results for each case using real data.
Volume
685 LNEE
First Page
224
Last Page
233
ISSN
18761100
ISBN
9783030530204
Recommended Citation
Ojeda Avila, C.; Salamanca Forero, S.; and Bueno-López, Maximiliano, "Methods for the characterization of the variability of solar and wind resource" (2021). Scopus Unisalle. 25.
https://ciencia.lasalle.edu.co/scopus_unisalle/25
Identifier
SCOPUS_ID:85089717296