Artículo
Spatial irradiance estimation in a thermosolar power plant by a mobile robot sensor network
Autor/es | García Martín, Javier
Maestre Torreblanca, José María Camacho, Eduardo F. |
Departamento | Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática |
Fecha de publicación | 2021 |
Fecha de depósito | 2021-05-12 |
Publicado en |
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Resumen | An algorithm for mapping Direct Normal Irradiance (DNI) in thermosolar power plants using a Mobile Robotic Sensor Network (RSN) is presented. The algorithm selects measurement spots and allocates the RSN accordingly to ... An algorithm for mapping Direct Normal Irradiance (DNI) in thermosolar power plants using a Mobile Robotic Sensor Network (RSN) is presented. The algorithm selects measurement spots and allocates the RSN accordingly to carry out the dynamic estimation of DNI. A generic thermosolar power plant with a fleet of vehicles is used as a simulated case study to assess the performance of the algorithm. The results show that the proposed method allows us to obtain a spatial estimation of the DNI that could improve the performance of the plant, and that outperforms estimations based on a single pyrheliometer. |
Identificador del proyecto | 789051 |
Cita | García Martín, J., Maestre Torreblanca, J.M. y Fernández Camacho, E. (2021). Spatial irradiance estimation in a thermosolar power plant by a mobile robot sensor network. Solar Energy, 15, 735-744. |
Ficheros | Tamaño | Formato | Ver | Descripción |
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46_Spatial Irradiance.pdf | 2.753Mb | [PDF] | Ver/ | |