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Solar Energy Potential Estimation in Perak Using Clearness Index and Artificial Neural Network

Khalaji Assadi , Morteza and Habib, Khairul (2014) Solar Energy Potential Estimation in Perak Using Clearness Index and Artificial Neural Network. MATEC Web of Conferences, 3 .

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Abstract

In this paper solar energy potential has been estimated by two methods which are clearness index and artificial network (ANN) methods. The selected region is Seri Iskandar, Perak (4°24´latitude, 100°58´E longitude, 24 m altitude). Experimental data (monthly average daily radiation on horizontal surface) was obtained from UTP solar research site in UTP campus. The data include the period of 2010 to 2012 and were used for testing the artificial neural network model and also for determination of clearness index. Also the experimental data of the three meteorological, Ipoh, Bayan Lepas & KLIA were used in calculating the clearness index and for training the neural network. Result shows that clearness index for Seri Iskandar is 0.52, the highest radiation is on February (20.45 MJ/m2/day), annual average is 18.25 MJ/m2/day and clearness index is more accurate than ANN when there is limited data supply. In general, Perak states show strong potential for solar energy application.

Item Type:Article
Uncontrolled Keywords:solar energy potential, artificial network
Subjects:T Technology > TJ Mechanical engineering and machinery
Academic Subject One:solar energy
Departments / MOR / COE:Mission Oriented Research > Energy
ID Code:11655
Deposited By: Dr Morteza Khalaji Assadi
Deposited On:19 May 2015 03:39
Last Modified:19 May 2015 03:39

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