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Technical Briefs

Estimation of Global Solar Radiation Using Artificial Neural Networks in Abu Dhabi City, United Arab Emirates

[+] Author and Article Information
Maitha Al-Shamisi, Hassan Hejase

Department of Electrical Engineering,
UAE University,
P. O. Box 15551,
Al-Ain, United Arab Emirates

Ali Assi

Department of Electrical and Electronic Engineering,
Lebanese International University,
P. O. Box 146404,
Mazraa, Beirut, Lebanon
e-mail: ali.assi@liu.edu.lb

Contributed by the Solar Energy Division of ASME for publication in the JOURNAL OF SOLAR ENERGY ENGINEERING. Manuscript received April 12, 2012; final manuscript received October 20, 2013; published online November 26, 2013. Assoc. Editor: Philippe Blanc.

J. Sol. Energy Eng 136(2), 024502 (Nov 26, 2013) (5 pages) Paper No: SOL-12-1097; doi: 10.1115/1.4025826 History: Received April 12, 2012; Revised October 20, 2013

The geographical location (Latitude: 24 deg 28′ N and Longitude: 54 deg 22′ E) of Abu Dhabi city in the United Arab Emirates (UAE) favors the development and utilization of solar energy. This paper presents an artificial neural network (ANN) approach for the estimation of monthly mean global solar radiation (GSR) on a horizontal surface in Abu Dhabi. The ANN models are presented and implemented on a 16-yr measured meteorological data set for Abu Dhabi comprising the maximum daily temperature, mean daily wind speed, mean daily sunshine hours, and mean daily relative humidity between 1993 and 2008. The meteorological data between 1993 and 2003 are used for training the ANN and data between 2004 and 2008 are used for testing the estimated values. Multilayer perceptron (MLP) and radial basis function (RBF) are used as ANN learning algorithms. The results attest to the capability of ANN techniques and their ability to produce accurate estimation models.

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Figures

Grahic Jump Location
Fig. 1

Geographical location of Abu Dhabi, UAE (north of UAE at latitude: 24 deg 28′ N and longitude: 54 deg 22′ E)

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Fig. 2

Comparison between measured data and estimated MLP ANN models (1–11)

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Fig. 3

Comparison between measured data and estimated RBF ANN models (1–11)

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Fig. 4

Comparison of monthly mean daily GSR data from the optimal ANN and linear regression models with measured data in Abu Dhabi, UAE for years 2004–2008

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