Towards the Development of a Low-Cost Irradiance Nowcasting Sky Imager.

Solar resource assessment is fundamental to reduce the risk in selecting the solar power-plants’ location; also for designing the appropriate solar-energy conversion technology and operating new sources of solar-power generation. Having a reliable methodology for solar irradiance forecasting allows...

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Detalles Bibliográficos
Autores: Luis Valentín, Manuel I. Peña Cruz, Daniela Moctezuma, César M. Peña Martínez, Carlos A. Pineda Arellano, ARTURO DIAZ PONCE
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2019
País:México
Institución:Centro de Investigación en Ciencias de Información Geoespacial
Repositorio:Repositorio Institucional Centro GEO
Idioma:inglés
OAI Identifier:oai:centrogeo.repositorioinstitucional.mx:1012/304
Acceso en línea:http://centrogeo.repositorioinstitucional.mx/jspui/handle/1012/304
Access Level:acceso abierto
Palabra clave:info:eu-repo/classification/cti/7
info:eu-repo/classification/cti/33
info:eu-repo/classification/cti/3322
info:eu-repo/classification/cti/332202
Descripción
Sumario:Solar resource assessment is fundamental to reduce the risk in selecting the solar power-plants’ location; also for designing the appropriate solar-energy conversion technology and operating new sources of solar-power generation. Having a reliable methodology for solar irradiance forecasting allows accurately identifying variations in the plant energy production and, as a consequence, determining improvements in energy supply strategies. A new trend for solar resource assessment is based on the analysis of the sky dynamics by processing a set of images of the sky dome. In this paper, a methodology for processing the sky dome images to obtain the position of the Sun is presented; this parameter is relevant to compute the solar irradiance implemented in solar resource assessment. This methodology is based on the implementation of several techniques in order to achieve a combined, fast, and robust detection system for the Sun position regardless of the conditions of the sky, which is a complex task due to the variability of the sky dynamics. Identifying the correct position of the Sun is a critical parameter to project whether, in the presence of clouds, the occlusion of the Sun is occurring, which is essential in short-term solar resource assessment, the so-called irradiance nowcasting. The experimental results confirm that the proposed methodology performs well in the detection of the position of the Sun not only in a clear-sky day, but also in a cloudy one. The proposed methodology is also a reliable tool to cover the dynamics of the sky.