Welcome To UTPedia

We would like to introduce you, the new knowledge repository product called UTPedia. The UTP Electronic and Digital Intellectual Asset. It stores digitized version of thesis, final year project reports and past year examination questions.

Browse content of UTPedia using Year, Subject, Department and Author and Search for required document using Searching facilities included in UTPedia. UTPedia with full text are accessible for all registered users, whereas only the physical information and metadata can be retrieved by public users. UTPedia collaborating and connecting peoples with university’s intellectual works from anywhere.

Disclaimer - Universiti Teknologi PETRONAS shall not be liable for any loss or damage caused by the usage of any information obtained from this web site.Best viewed using Mozilla Firefox 3 or IE 7 with resolution 1024 x 768.

Development of a Model to Predict the Global Solar Radiation Using Statistical Techniques

Mohammad Rabeek, Mohamed Tawfeek (2016) Development of a Model to Predict the Global Solar Radiation Using Statistical Techniques. IRC, Universiti Teknologi PETRONAS. (Submitted)

[img] PDF
Restricted to Registered users only

Download (956Kb)


An precise information of solar radiation distribution at a actual geographical place is of vital importance for the advance of many solar energy devices. In this study, global solar radiation received on horizontal surfaces and sunshine duration for the city of Bandar Seri Iskandar, Tronoh Perak northern region of west coast peninsular Malaysia was analyzed. For areas where no real measured values are obtainable, a common exercise is to estimate mean daily global solar radiation using appropriate empirical correlations based on the measured relevant information at those sites. In this study, three sunshine-based models which is first, second and third order polynomial was used to develop the new model. In order to assess for the performance and validation, statistical significance of the models which is mean bias error (MBE), root mean square error (RMSE), mean percentage error (MPE) and mean bias error (MABE) were conducted to determine the accuracy and precise of the models. This research involves in a comprehensive statistical investigation and directly related to engineering scope.

Item Type: Final Year Project
Academic Subject : Academic Department - Mechanical Engineering - Materials - Engineering materials - Metals alloys - Fabrication
Subject: T Technology > TJ Mechanical engineering and machinery
Divisions: Engineering > Mechanical
Depositing User: Ahmad Suhairi Mohamed Lazim
Date Deposited: 01 Mar 2017 15:38
Last Modified: 01 Mar 2017 16:23
URI: http://utpedia.utp.edu.my/id/eprint/17223

Actions (login required)

View Item View Item

Document Downloads

More statistics for this item...