MATLAB tool for predicting the global solar radiation in UAE

Ali H. Assi, Maitha H.Al Shamisi, Hassan A.N. Hejase

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

The prediction of the global solar radiation is of great importance for several engineering applications. Just to name few, solar radiation estimates are fundamental during the design phase of several technologies such as: flat plates and concentrating collectors, solar energy storage devices, solar heaters, and photovoltaic systems. The geographical location of the United Arab Emirates (UAE) (between 26° and 32° North Latitude and between 51° and 56° 25 East Latitude) favors the development and utilization of solar energy. A graphical user interface (GUI) was designed to assist solar energy planners, engineers, architectural scientists, and researchers to predict global solar radiation in different regions of the UAE. The predicted models are developed using Artificial Neural Network techniques.

Original languageEnglish
Title of host publication2012 International Conference on Renewable Energies for Developing Countries, REDEC 2012
DOIs
Publication statusPublished - 2012
Event2012 International Conference on Renewable Energies for Developing Countries, REDEC 2012 - Beirut, Lebanon
Duration: Nov 28 2012Nov 29 2012

Publication series

Name2012 International Conference on Renewable Energies for Developing Countries, REDEC 2012

Other

Other2012 International Conference on Renewable Energies for Developing Countries, REDEC 2012
Country/TerritoryLebanon
CityBeirut
Period11/28/1211/29/12

Keywords

  • Artificial Neural Network
  • Global Solar Radiation
  • Graphical User Interface (GUI)
  • MATLAB
  • prediction

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment

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