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Formal Analysis of Solar Power and Weather Data
Indexado
Scopus SCOPUS_ID:85123985468
DOI 10.1007/978-3-030-88817-6_10
Año 2022
Tipo

Citas Totales

Autores Afiliación Chile

Instituciones Chile

% Participación
Internacional

Autores
Afiliación Extranjera

Instituciones
Extranjeras


Abstract



Nowadays, the use of renewable energy is a priority for governments around the world since it gives rise to energy saving and environmental sustainability. In the case of photovoltaic systems, it is fundamental, to know how much energy can be generated and how much energy is needed in order to maintain a suitable balance between supply and demand. In this paper, a formal analysis of solar power and weather data is performed in order to study how the energy generated by solar panels depends on sunny days and weather conditions. In particular, a software architecture is proposed which is formed by three modules. The first and second ones allow us to transform open data files to formal contexts. In the third module, two important processes are performed: (i) a characterization of the states of the sky and (ii) an analysis of the weather conditions under which the energy production is optimal.

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Disciplinas de Investigación



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Scopus
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SciELO
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Publicaciones WoS (Ediciones: ISSHP, ISTP, AHCI, SSCI, SCI), Scopus, SciELO Chile.

Colaboración Institucional



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Autores - Afiliación



Ord. Autor Género Institución - País
1 CORNEJO-PINERO, MARIA EUGENIA Mujer Universidad de Cádiz - España
2 Medina, Jesús Hombre Universidad de Cádiz - España
3 Rubio-Manzano, Clemente Hombre Universidad de Cádiz - España
Universidad del Bío Bío - Chile

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Financiamiento



Fuente
Universidad del Bío-Bío
European Regional Development Fund
Agencia Estatal de Investigación
State Research Agency
University of B?o
Grupo Energético de Puerto Real

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Agradecimientos



Agradecimiento
The authors acknowledge Dr. Enrique Daneri V?as and Ms. Ver?nica Carrasco Bernal, from Grupo Energ?tico de Puerto Real, C?diz, Spain, their valuable collaboration in the preparation of this paper. This paper has been partially supported by the State Research Agency (AEI) and the European Regional Development Fund (FEDER) project TIN2016-76653-P, and Grupo Energ?tico de Puerto Real (GEN). Furthermore, this work has been performed in collaboration with the research group SOMOS (SOftware-MOdelling-Science) funded by the University of B?o-B?o.
The authors acknowledge Dr. Enrique Daneri V?as and Ms. Ver?nica Carrasco Bernal, from Grupo Energ?tico de Puerto Real, C?diz, Spain, their valuable collaboration in the preparation of this paper. This paper has been partially supported by the State Research Agency (AEI) and the European Regional Development Fund (FEDER) project TIN2016-76653-P, and Grupo Energ?tico de Puerto Real (GEN). Furthermore, this work has been performed in collaboration with the research group SOMOS (SOftware-MOdelling-Science) funded by the University of B?o-B?o.

Muestra la fuente de financiamiento declarada en la publicación.