MATLAB tool for predicting the global solar radiation in UAE

Author

Assi, Ali H. ; Shamisi, M.H.A. ; Hejase, Hassan A. N.

Author_Institution

Dept. of Electr. & Electron. Eng., Lebanese Int. Univ., Beirut, Lebanon

fYear

2012

fDate

28-29 Nov. 2012

Firstpage

1

Lastpage

8

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.

Keywords

graphical user interfaces; neural nets; photovoltaic power systems; power engineering computing; solar heating; solar radiation; MATLAB tool; UAE; United Arab Emirates; architectural scientists; artificial neural network; concentrating collectors; flat plates; geographical location; global solar radiation prediction; graphical user interface; photovoltaic systems; solar energy engineers; solar energy planners; solar energy storage devices; solar heaters; Artificial neural networks; Data models; Graphical user interfaces; Neurons; Predictive models; Solar radiation; Training; Artificial Neural Network; Global Solar Radiation; Graphical User Interface (GUI); MATLAB; prediction;

fLanguage

English

Publisher

ieee

Conference_Titel

Renewable Energies for Developing Countries (REDEC), 2012 International Conference on

Conference_Location

Beirut

Print_ISBN

978-1-4673-2440-3

Type

conf

DOI

10.1109/REDEC.2012.6416698

Filename

6416698