Safwati Ibrahim
Thumbnail Image
Preferred name
Safwati Ibrahim
Official Name
Safwati, Ibrahim
Alternative Name
Ibrahim, Safwati
Safwati, Ibrahim
Safwati, I.
Ibrahim, S.
Main Affiliation
Scopus Author ID
57191950629
Researcher ID
GDL-1857-2022

Research Output

Filters

3
3
3
Reset filters

Settings
Now showing 1 - 3 of 3
Thumbnail Image
Publication

Simulation study on photovoltaic panel temperature under different solar radiation using computational fluid dynamic method

2020-01-07 , Leow W.Z. , Mohd Irwan Yusoff , Safwati Ibrahim , Muhammad Irwanto Misrun , Amelia A.R. , Syafiqah Z. , Muhammad Izuan Fahmi Romli , Norfadilah Rosle

The electrical production is the primary performance of any solar photovoltaic (PV) system. The PV panel operating temperature is inversely proportional to the electrical production of the PV panel. The operating temperature of PV panel is influenced by solar radiation absorbed and the ambient temperature. In the present work, Computational Fluid Dynamics (CFD) method is used to investigate a three-dimensional (3-D) model of a PV panel. It is also essential to estimate the thermal behaviour of the PV panel under various environmental conditions. The primary purpose of this current work is to analyse temperature distribution from the PV panel under given operating conditions. The model geometry is built by using CATIA design software. ANSYS software was simulated the different intensity of solar radiation that applied to the PV panel in order to observe the temperature distribution on each layers of the PV panel. The ambient temperature of the simulation is fixed 35C according to the maximum ambient temperature captured in Malaysia. The simulation results show that an increase in solar radiation intensity along with the PV panel operating temperature increase.

View
Thumbnail Image
Publication

Technologies of solar tracking systems: A review

2020-03-20 , Amelia A.R. , Mohd Irwan Yusoff , Safwati Ibrahim , Leow Wai Zhe , Mohd Hafizuddin Mat , Mohamad Shukor Abdul Rahim

Solar energy is abundantly in nature and sustainable energy resources around the world. The main challenge with the solar field is less amount of sun energy captured by using photovoltaic (PV) systems. The great performance of the PV systems can be achieved if the panel is kept perpendicular to the direction of the radiations of sun. Hence, solar tracker system is the method to keep the optimum position of the PV panel for always perpendicular to the solar radiation. This paper aims to review on various technologies of solar tracking to determine the best PV panel orientation. The various types of technologies of solar tracking system have been discussed which includes passive solar tracker, active solar tracker and chronological tracker system. The movement degrees of solar tracking system also have been addressed which consisting single-axis solar tracking system and dual-axis solar tracking system. This paper is also overviews the tracking techniques performance, construction, performance, advantages, and disadvantages of existing solar tracking system. The limitations of solar tracking systems are also highlighted for future action improvement. Through this research studies, the most favorable solar tracking system was identified as active solar tracker with the dual axis rotation.

View
Thumbnail Image
Publication

Comparative Study of Three Methods for Determining Weibull Parameters in Pauh Putra, Perlis

2021-06-11 , Thiraphorn B.L. , Leow Wai Zhe , Mohd Irwan Yusoff , Safwati Ibrahim , Muhammad Irwanto Misrun , Kumuthawathe Ananda-Rao , Amelia A.R.

This paper studied about analysis characteristics of wind speed at Pauh Putra, Perlis, where nearest to Chuping station, Perlis, Malaysia. The wind speed characteristics consist of monthly and annual wind speed in Perlis, Malaysia. By using Weibull distribution, three different methods to calculate the potential of wind power generation and analysis the characteristics of wind speed at Pauh Putra, Perlis. The results present the means wind speed is 1.0790 m/s and 1.1321 m/s for 2018 and 2019, respectively. The highest monthly mean wind speed occurred in February for both years, 2018 and 2019. Besides, the lowest monthly wind speed for 2018 in May and for 2019 in October. The Weibull distribution summarized the highest probability density is 120% in the wind speed, 1.1 m/s using the Maximum Likelihood Method (MLM) method for these two years. Furthermore, this research found that the Energy Pattern Factor (EPF) Method is stretched to the right, and its height decreased from other methods for both years based on the graph of the wind speed of probability density function. The Maximum Likelihood Method (MLM) for these two years is higher because its shape parameters are relatively higher based on the graph of the wind speed of probability density function.

View