1. Spatial irradiance estimation in a thermosolar power plant by a mobile robot sensor network
- Author
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Eduardo F. Camacho, Javier G. Martin, and José M. Maestre
- Subjects
Power station ,Renewable Energy, Sustainability and the Environment ,Computer science ,020209 energy ,Direct normal irradiance ,Real-time computing ,Irradiance ,Mobile robot ,02 engineering and technology ,021001 nanoscience & nanotechnology ,Power (physics) ,Spatial estimation ,0202 electrical engineering, electronic engineering, information engineering ,General Materials Science ,0210 nano-technology ,Pyrheliometer ,Wireless sensor network - Abstract
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.
- Published
- 2021
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