Mohammad Faridun Naim Tajuddin
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Preferred name
Mohammad Faridun Naim Tajuddin
Official Name
Mohammad Faridun Naim , Tajuddin
Alternative Name
Tajuddin, Mohd Faridun Naim
Tajuddin, Mohd
Tajuddin, Mohammad Faridun Naim
Tajuddin, M. F.N.
Main Affiliation
Scopus Author ID
35590716200
Researcher ID
GSD-2139-2022

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Publication

Fundamental study on the impacts of water-cooling and accumulated dust on photovoltaic module performance

2022-12-01 , Alwesabi F.A.A. , Aziz A.S. , Mohamad Shukor Abdul Rahim , Mohammad Faridun Naim Tajuddin , Mohd Fayzul Mohammed , Azralmukmin Azmi , Satterlee C. , Ayob S.M. , Sutikno T.

Photovoltaic (PV) modules have been becoming well-spread recently as alternative clean energy sources to traditional energy sources due to their efficiency and sustainability benefits. This paper applied various water temperatures and artificial dust levels to a couple of monocrystalline PV modules under outdoor conditions to observe their performance. Two different IV tracers were connected separately to each module for comparison purposes. Two temperature sensors were installed at the back of the panels to observe the cell temperatures. Besides, a temperature sensor was specified for ambient readings. Water flowed through an adjustable water-flow sensor to cool the overheated PV module using specific mass flow rates. The results indicate that the efficiency of the PV module starts to reduce when the panel temperature begins to surpass 49.1°C. It was discovered that cooling the PV module increases its efficiency from 0.97 percent at the lowest rate to 4.70 percent at the highest rate. Furthermore, accumulated dust on the PV module top surface can be reduced up to 3-fold under 110 g/m2 of dust, and up to 29.30% under 10 g/m2 of 100% of its generated energy. Improvement techniques and future work on PV module performance are also discussed.

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Review of Control Strategies for Improving the Photovoltaic Electrical Efficiency by Hybrid Active Cooling

2024-06-01 , Edaris Z.L. , Mohd Sazli Saad , Mohammad Faridun Naim Tajuddin , Ali M.H. , Mohamad Shukor Abdul Rahim

Photovoltaic (PV) cooling systems are used widely in order to increase the PV efficiency. Most review paper was published for the role, design and cooling techniques of PV applications, there is a lack of collected and organised information regarding the latest and the newest updates on control strategies for PV cooling control systems. Hence, this paper presents a comprehensive review of PV cooling control strategies discussing the latest research works during the years from 2010 to 2022. PV/T hybrid cooling types are highlighted, followed by the main focus of this paper an extensive review of the control schemes for diverse types of PV cooling systems that have been carried out. This paper summarises most of the related work and also pays a special focus on research trends regarding the control of PV cooling systems that have been previously published in the literature. This review paper will be helpful to new researchers when identifying research directions for this particular area of interest.

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Modeling, experimental investigation and real-time control of active water cooling system for photovoltaic module

2024-01-01 , Mohamad Shukor Abdul Rahim , Mohammad Faridun Naim Tajuddin , Mohd Sazli Saad , Hasanuzzaman M. , Azralmukmin Azmi , Mohd Fayzul Mohammed

Photovoltaic (PV) cells are integral in harnessing solar energy, yet their performance is hindered by excessive heat generation, impacting efficiency and sustainability. Addressing the challenge of efficiency loss in photovoltaic (PV) cells due to overheating, this study focuses on optimizing active water cooling control for PV modules. The aim is to develop a dynamic, sustainable model and integrate a PID controller tuned by Sine Cosine Algorithm (SCA), targeting optimal operating temperatures. This study introduces a dynamic model and a closed-loop control system to manage PV cell temperature, investigating the correlation between water flow and temperature regulation. Experimental data is gathered using a pseudo-random binary sequence (PRBS) as an excitation signal, forming the foundation of an Auto Regressive eXogenous (ARX) model. The closed-loop system incorporates a PID controller and tuned using the Sine Cosine Algorithm (SCA) to optimize performance. The resulting model is rigorously validated through experimental investigation, demonstrating its precision in capturing the system’s dynamics. Moreover, the implementation of a controller-based cooling system substantiates the model’s practical efficacy. The research demonstrates significant improvements when implementing a controller-based water-cooling system for photovoltaic (PV) modules. Compared to the baseline scenario without cooling, the system achieves a 34.5% reduction in average PV temperature (from 59.2°C to 38.9°C) and a 9.46% increase in average power output (from 196.7W to 215.3W). Moreover, this system utilizes only 248.8 liters of water, marking a substantial 64% decrease in water consumption compared to traditional free-flow cooling methods, which use 790.9 liters. The research demonstrates that the controller-based cooling approach is a sustainable option, delivering power output comparable to the free-flow method, yet significantly lowering water consumption. This research signifies a turning point for sustainability, offering an efficient and water-conscious approach for enhancing PV system performance, a crucial step toward a greener and more environmentally responsible energy future.

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