Analyzing temporal and spatial variations of direct normal, diffuse horizontal and global horizontal irradiances estimated from an artificial neural network based model

Yehia Eissa, Prashanth Marpu, Mohamed Hosni Ghedira, Taha B.M.J. Ouarda, Matteo Chiesa

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

An artificial neural network (ANN) ensemble approach has been successfully applied to estimate the direct normal irradiance (DNI) and diffuse horizontal irradiance (DHI) at the surface in the United Arab Emirates. Six thermal channels of the SEVIRI instrument, onboard Meteosat Second Generation Satellite were used to generate the model. Additional inputs are the solar zenith angle, latitude, longitude, solar time, day number and eccentricity correction. The global horizontal irradiance (GHI) is then calculated from DNI and DHI estimates. This study assesses the temporal variation of the estimated DNI, DHI and GHI through comparisons with ground measured values. For the three ground measurement stations available in the study area, the temporal assessments include data from heavy dusty, moderate dusty and clear days. The study also assesses the spatial variation through the visualization of DNI, DHI and GHI maps at specific scenes for the different weather conditions.

Original languageBritish English
Title of host publicationWorld Renewable Energy Forum, WREF 2012, Including World Renewable Energy Congress XII and Colorado Renewable Energy Society (CRES) Annual Conference
Pages1919-1926
Number of pages8
StatePublished - 2012
EventWorld Renewable Energy Forum, WREF 2012, Including World Renewable Energy Congress XII and Colorado Renewable Energy Society (CRES) Annual Conference - Denver, CO, United States
Duration: 13 May 201217 May 2012

Publication series

NameWorld Renewable Energy Forum, WREF 2012, Including World Renewable Energy Congress XII and Colorado Renewable Energy Society (CRES) Annual Conferen
Volume3

Conference

ConferenceWorld Renewable Energy Forum, WREF 2012, Including World Renewable Energy Congress XII and Colorado Renewable Energy Society (CRES) Annual Conference
Country/TerritoryUnited States
CityDenver, CO
Period13/05/1217/05/12

Keywords

  • Neural networks
  • Satellite images
  • Solar maps
  • Solar resource assessment

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