Predicting Photovoltaic Electrical Power Generation Using Computational Method

Authors

  • Siti Diyanah Shamsuddin
  • Ahmad Fateh Mohamad Nor Department of Electrical Power Engineering, Faculty of Electrical & Electronic Engineering, Universiti Tun Hussein Onn Malaysia (UTHM). http://orcid.org/0000-0001-8979-4123

Keywords:

Renewable energy, Photovoltaic (PV), Solar irradiance

Abstract

One of the most popular kinds of renewable energy in the generation of electric power is the photovoltaic (PV) system. One of the disadvantages of the PV system however is the incompatibility of the performance of PV panels because of the changing climate. Therefore, the optimum power output of the PV system is important to predict. This study will cover the implementation of PV system behind the Faculty Electrical and Electronic Engineering Block QA Building, University Tun Hussein Onn Malaysia. Then, the PV power output is predicted with manual calculation. Temperature and solar irradiance are the important input parameters that need to be taken into the calculation. The result shows that February and March have the highest total power output which 7155203.97 kWh and 7395327.66 kWh than any other month in year 2020.

Author Biography

  • Ahmad Fateh Mohamad Nor, Department of Electrical Power Engineering, Faculty of Electrical & Electronic Engineering, Universiti Tun Hussein Onn Malaysia (UTHM).

    Lecturer,

    Department of Electrical Power Engineering,

    Faculty of Electrical & Electronic Engineering,

    Universiti Tun Hussein Onn Malaysia (UTHM).

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Published

03-07-2022

Issue

Vol. 3 No. 1 (2022)

Section

Articles

How to Cite

Shamsuddin, S. D. ., & Nor, A. F. M. (2022). Predicting Photovoltaic Electrical Power Generation Using Computational Method. Journal of Quranic Sciences and Research, 3(1), 9-12. https://publisher.uthm.edu.my/ojs/index.php/jqsr/article/view/9827