Prediction system based on domotic weather sensors for the energy production of solar power plants

Authors

  • Domingo Benítez Author
  • Carlos González-Muñoz Author
  • José F. Medina Author

DOI:

https://doi.org/10.24084/repqj09.633

Abstract

The  prediction  of  the  electrical  energy  generated  by  a  photo-voltaic  system  is  useful  for  estimating the  profitability  analysis  of  a  project,  without  the  need  of  expensive  photovoltaic  proto-types. Prediction  systems  are  usually based  on  simulating  the  physical  process  of a  photovoltaic  module,  under  standard  or  average  local  weather  conditions.  These predictions  introduce  some errors caused by the use of a theoretical model or average climate data.In  our  investigations,  we  noted  that  the  energy  generated  by  a  photovoltaic system is  proportional  to  the  cumulative  measure-ment of the sun illuminance that is provided by a low-cost domo-tic  weather  station.  From  this  experimental  observation,  this  paper  proposes  a  hardware/software  system  for  predicting  the  electrical  energy  generated  by  a  photovoltaic  system,  such  as  those  existing  in  buildings.  The  hardware  consists  of  a  domotic  installation  for  monitoring  both  electric  energy  and  climate  parameters. The  software  consists  of  a  calibration  procedure, which  provides  a  proportional  factor  between sun  illuminance  and the energy production per unit of surface area of the photo-voltaic  modules.  Once  the  calibration  procedure  is  completed,  the  photovoltaic  energy  production is  predicted  by  factoring  the  sun illuminance provided by the weather station and the propor-tional  factor  provided  by  the  calibration  process.  This  method  has  been  tested  under  real  conditions  and  the  accuracy  reached  up to 99.7% with an average value of 96.3%.

Author Biographies

  • Domingo Benítez

    Universidad de Las Palmas de Gran Canaria

    SIANI University Institute

    Campus of Tafira, 35017 Las Palmas de Gran Canaria (Spain)

    Phone/Fax number:+0034 928 458711, e-mail: dbenitez@siani.es

  • Carlos González-Muñoz

    Universidad de Las Palmas de Gran Canaria

    SIANI University Institute

    Campus of Tafira, 35017 Las Palmas de Gran Canaria (Spain)

    Phone/Fax number:+0034 928 458711, e-mail: cgonzalez@dis.ulpgc.es

  • José F. Medina

    Universidad de Las Palmas de Gran Canaria

    SIANI University Institute

    Campus of Tafira, 35017 Las Palmas de Gran Canaria (Spain)

    Phone/Fax number:+0034 928 458711, e-mail: jmedina@die.ulpgc.es

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Published

2024-01-17

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Section

Articles