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dc.contributor.authorPeña Gallardo, Rafael
dc.contributor.authorOspino C., Adalberto
dc.contributor.authorMedina Ríos, Aurelio
dc.description.abstractSolar and wind energy systems, without storage, cannot satisfy variable load demands, but their combined use can help to solve the problem of the balance between generation and consumption. Energetic complementarity studies are useful to evaluate the viability of the use of two or more renewable energy sources with high variability in a specific interval of time in a determined region. In this paper, the monthly energetic complementarity study of solar and wind resources of Colombia is carried out. A novel approach to conduct the study is proposed. A dataset with the average monthly solar radiation and wind speed values is obtained from high-resolution images of renewable resources maps, using image processing algorithms. Then, the dataset is used to calculate the energetic complementarity of the sources employing the negative of the Pearson correlation coefficient. The obtained values are transformed to energetic complementarity maps, previously eliminating the protected areas. The obtained results show that there is a good energetic complementarity in the north and northeastern regions of the country throughout the year. The results indicate that projects related to the joint use of solar and wind generation systems could be developed in these
dc.description.abstractLos sistemas de energía solar y eólica, sin almacenamiento, no pueden satisfacer las demandas de carga variable, pero su uso combinado puede ayudar a resolver el problema del equilibrio entre generación y consumo. Los estudios de complementariedad energética son útiles para evaluar la viabilidad del uso de dos o más fuentes de energía renovable con alta variabilidad en un intervalo de tiempo específico en una región determinada. En este artículo, el estudio mensual de complementariedad energética de los recursos solar y eólico de Colombia se lleva a cabo. Se propone un enfoque novedoso para realizar el estudio. Un conjunto de datos con el promedio Los valores mensuales de radiación solar y velocidad del viento se obtienen a partir de imágenes de alta resolución de renovables. mapas de recursos, utilizando algoritmos de procesamiento de imágenes. Luego, el conjunto de datos se utiliza para calcular el complementariedad energética de las fuentes empleando el negativo del coeficiente de correlación de Pearson. Los valores obtenidos se transforman en mapas de complementariedad energética, eliminando previamente la áreas protegidas. Los resultados obtenidos muestran que existe una buena complementariedad energética en el regiones del norte y noreste del país durante todo el año. Los resultados indican que los proyectos relacionados con el uso conjunto de sistemas de generación solar y eólica podrían desarrollarse en estas
dc.publisherCorporación Universidad de la Costaspa
dc.rightsCC0 1.0 Universal*
dc.subjectEnergetic complementarityspa
dc.subjectImage processing algorithmsspa
dc.subjectResource mapsspa
dc.subjectSolar energyspa
dc.subjectWind energyspa
dc.subjectComplementariedad energéticaspa
dc.subjectAlgoritmos de procesamiento de imágenesspa
dc.subjectMapas de recursosspa
dc.subjectEnergía solarspa
dc.subjectEnergía eólicaspa
dc.titleAn image processing-based method to assess the monthly energetic complementarity of solar and wind energy in Colombiaspa
dc.title.alternativeUn método basado en el procesamiento de imágenes para evaluar la complementariedad energética mensual de la energía solar y eólica en Colombiaspa
dc.typeArtículo de revistaspa
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