An Improved Mathematical Model for Computing Power Output of Solar Photovoltaic Modules

Abdul Qayoom, Jakhrani and Saleem, Raza Samo and Shakeel Ahmed, Kamboh and Jane, Labadin and Andrew Ragai Henry, Rigit (2014) An Improved Mathematical Model for Computing Power Output of Solar Photovoltaic Modules. International Journal of Photoenergy, 2014. pp. 1-9. ISSN 1110662X.

Full text not available from this repository.

Abstract

It is difficult to determine the input parameters values for equivalent circuit models of photovoltaic modules through analytical methods.Thus, the previous researchers preferred to use numerical methods. Since, the numerical methods are time consuming and need long term time series data which is not available in most developing countries, an improved mathematical model was formulated by combination of analytical and numerical methods to overcome the limitations of existing methods. The values of required model input parameters were computed analytically. The expression for output current of photovoltaic module was determined explicitly by Lambert W function and voltage was determined numerically by Newton-Raphson method. Moreover, the algebraic equations were derived for the shape factor which involves the ideality factor and the series resistance of a single diode photovoltaic module power output model.The formulated model results were validated with rated power output of a photovoltaic module provided by manufacturers using local meteorological data, which gave ±2% error. It was found that the proposed model is more practical in terms of precise estimations of photovoltaic module power output for any required location and number of variables used.

Item Type: Article
Uncontrolled Keywords: Mathematical Model, Computing Power Output, Solar hotovoltaic Modules, Environment Engineering, research, Universiti Malaysia Sarawak, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education
Subjects: T Technology > TD Environmental technology. Sanitary engineering
Divisions: Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Depositing User: Karen Kornalius
Date Deposited: 04 Aug 2015 01:23
Last Modified: 01 Mar 2017 01:18
URI: http://ir.unimas.my/id/eprint/8466

Actions (For repository members only: login required)

View Item View Item