A solar altitude angle model for efficient solar energy predictions

Sergio Herrería-Alonso, Andrés Suárez-González, Miguel Rodríguez-Pérez, Raúl F. Rodríguez-Rubio, Cándido López-García

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish
Article number1391
JournalSensors (Switzerland)
Volume20
Issue number5
DOIs
StatePublished - 1 Mar 2020
Externally publishedYes

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Keywords

  • Energy harvesting
  • Energy management
  • Energy prediction
  • Solar energy

Cite this

Herrería-Alonso, S., Suárez-González, A., Rodríguez-Pérez, M., Rodríguez-Rubio, R. F., & López-García, C. (2020). A solar altitude angle model for efficient solar energy predictions. Sensors (Switzerland), 20(5), [1391]. https://doi.org/10.3390/s20051391