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A Solar Altitude Angle Model for Efficient Solar Energy Predictions

Department of Telematics Engineering, University of Vigo, 36310 Vigo, Spain
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Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Sensors 2020, 20(5), 1391; https://doi.org/10.3390/s20051391
Received: 10 February 2020 / Revised: 28 February 2020 / Accepted: 2 March 2020 / Published: 4 March 2020
(This article belongs to the Section Sensor Networks)
Sunlight is one of the most frequently used ambient energy sources for energy harvesting in wireless sensor networks. Although virtually unlimited, solar radiation experiences significant variations depending on the weather, the season, and the time of day, so solar-powered nodes commonly employ solar prediction models to effectively adapt their energy demands to harvesting dynamics. We present in this paper a novel energy prediction model that makes use of the altitude angle of the sun at different times of day to predict future solar energy availability. Unlike most of the state-of-the-art predictors that use past energy observations to make predictions, our model does not require one to maintain local energy harvesting patterns of past days. Performance evaluation shows that our scheme is able to provide accurate predictions for arbitrary forecasting horizons by performing just a few low complexity operations. Moreover, our proposal is extremely simple to set up since it does not require any particular tuning for each different scenario or location. View Full-Text
Keywords: energy harvesting; solar energy; energy management; energy prediction energy harvesting; solar energy; energy management; energy prediction
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MDPI and ACS Style

Herrería-Alonso, S.; Suárez-González, A.; Rodríguez-Pérez, M.; Rodríguez-Rubio, R.F.; López-García, C. A Solar Altitude Angle Model for Efficient Solar Energy Predictions. Sensors 2020, 20, 1391. https://doi.org/10.3390/s20051391

AMA Style

Herrería-Alonso S, Suárez-González A, Rodríguez-Pérez M, Rodríguez-Rubio RF, López-García C. A Solar Altitude Angle Model for Efficient Solar Energy Predictions. Sensors. 2020; 20(5):1391. https://doi.org/10.3390/s20051391

Chicago/Turabian Style

Herrería-Alonso, Sergio, Andrés Suárez-González, Miguel Rodríguez-Pérez, Raúl F. Rodríguez-Rubio, and Cándido López-García. 2020. "A Solar Altitude Angle Model for Efficient Solar Energy Predictions" Sensors 20, no. 5: 1391. https://doi.org/10.3390/s20051391

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