Mohd Irwan Yusoff
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Preferred name
Mohd Irwan Yusoff
Official Name
Mohd Irwan , Yusoff
Alternative Name
Irwan, Y. M.
Irwan, M. A.M.
Yusoff, Y. M.
Irwan, Mohd
Main Affiliation
Scopus Author ID
57216317186
Researcher ID
GKB-6081-2022

Research Output

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  • Publication
    Development A Portable Solar Energy Measurement System
    ( 2021-07-26)
    Atika Z.
    ;
    Leow Wai Zhe
    ;
    Iszaidy I.
    ;
    Mohd Irwan Yusoff
    ;
    Safwati Ibrahim
    ;
    Muhammad Irwanto Misrun
    ;
    Wafi N.M.
    ;
    Saw S.X.
    This project presents the design and development a portable measurement device for measure and monitor solar panel parameters by using Internet of Things (IoT) concept. Solar energy measurement plays a very important role in the measurement of parameter reading for the determination of output generated, but the challenge is only performed manually at the work site using a clamp meter or a multimeter. Furthermore, it was very difficult to get the value at that time, and the data recovery error occurred. There are three specific objectives have been used for the project. Firstly, the relevant circuits for this project are design and built the circuit by using software. The output of the measurement solar irradiance, ambient temperature, solar panel temperature, current and voltage value were displayed on LCD. Next, IoT concept is used for solar panel measurement and monitoring. The value of the measurement and monitoring is used ThingSpeak cloud and ThingView application on the smartphone. It can be collected the portable solar for the energy measurement system can monitor on site, anywhere and anytime using IoT platform.
      37  1
  • Publication
    Performance power evaluation of DC fan cooling system for PV panel by using ANSYS CFX
    ( 2017-09-26)
    Nur Syafiqah Zhubir
    ;
    Nasrul Amri Mohd Amin
    ;
    Mohd Irwan Yusoff
    ;
    Muhammad Irwanto Misrun
    ;
    Leow Wai Zhe
    ;
    Amelia A.R.
    A research has been conducted to find the optimum combination for DC fan air cooling system of photovoltaic (PV) panel. During normal operation of PV panel, it is estimated that only 15 % of solar radiation is converted into electrical energy. Meanwhile, the rest of the solar radiation is converted into heat energy which affects the performance of the PV panel. Therefore, the aim of this research is to investigate the performance power evaluation of DC fan cooling system for PV panel by using ANSYS CFX. The effect of airflow configuration of DC fan has been investigated. This is to analyze whether the airflow circulation of DC fan cause a change towards the maximum temperature of PV panel. Besides, the impact of varying number of DC fans attached at the back of PV panel is evaluated. The result of airflow circulation of DC fan has been discussed. Meanwhile, with the increment number of DC fans, the PV panel temperature drops significantly. As a conclusion, the optimum number of DC fans is two with the combination of inlet airflow.
      1  36
  • Publication
    A review of detecting outlier in a circular regression model
    ( 2020-03-20)
    Ramlee, Intan Mastura
    ;
    Safwati Ibrahim
    ;
    Leow Wai Zhe
    ;
    Mohd Irwan Yusoff
    Circular data is very relevant and important application technique in many fields such as physical science, medical science and others. During the last few years, writers have shown a deep interest of outlier detection in the circular regression model. In this case, authors have a tendency to study and explore in detail about the outlier detection in circular regression model. This paper aims to review the outlier detection methods in circular regression model. Here, we concentrate the attention on the methods of identifying outlier in this model. These survey of circular regression models in which many interesting properties and is good enough to detect the occurrence of outlier. Through the survey may highlight the significant of methods to detect outliers in circular regressions model and provide guideline for future work to look into the research gap.
      2  29
  • 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.
      33  1
  • 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.
      35  4
  • Publication
    Assessment of wind power potential in the North region of Malaysia, Chuping Perlis
    ( 2023)
    Thiraphorn Bun Leew
    ;
    Leow Wai Zhe
    ;
    Mohd Irwan Yusoff
    ;
    Safwati Ibrahim
    ;
    Tan Xiao Jian
    ;
    Muhammad Irwanto Misrun
    ;
    Kumuthawathe Ananda-Rao
    The wind turbines is a main device that convert the kinetic energy from blades to electrical energy. Before installing wind turbines, the Weibull probability distribution must be calculated to determine the certain wind speed probability. Many problems will come if there no analysis the characteristics of wind in selected location, such as wind speed that not suitable for building wind farm to supply the population in that area. Shape and scale factors, which be controlled in a variety of ways, influence the Weibull distribution. Many studies have looked into which of the various Weibull parameter estimation methods is the most dependable. However, because the results of these investigations were inconsistent, research into more trustworthy Weibull parameter estimation methods is still ongoing. An analysis of data collected Chuping, Perlis for two years was conducted in this study (from 2018 to 2019). By using statistical analysis to evaluate the Weibull distribution method, this study used three methods to compared the Weibull parameters and identified the most reliable and effective method to obtain the Weibull probability distribution by using a three approach that compares the variances of RMSE, MSE and R2, which provides comprehensive insight into level error and volatility. Modified maximum likelihood method, graphical method, and power density method are the three methods used in this study. Therefore, the graphical method has the best accuracy in the wind speed distribution prediction, several methods such as the modified maximum likelihood method, and the power density method have the worst prediction of the wind speed distribution based on all the statistical method variances for this region.
      7  29
  • Publication
    The Development of Hybrid Cooling Photovoltaic Panel by using Active and Passive Cooling System
    ( 2024-05-01)
    Mohd Irwan Yusoff
    ;
    Jun, Swee Yi
    ;
    Mohd Hafizuddin Mat
    ;
    Muhammad Irwanto Misrun
    ;
    Leow Wai Zhe
    ;
    Safwati Ibrahim
    ;
    Wahab, Nurul Husna Abd
    Photovoltaic (PV) panel are crucial in the conversion of solar irradiance into electrical energy. However, the efficiency of PV panel is indirectly influenced by the surface temperature of the panels. According to typical PV module standards, the effect of panel temperature on efficiency is-0.47 %/°C, which indicates that a rise of 1°C reduces the PV panel's efficiency by 0.47 %. The efficiency of the PV panel achieves its maximum value when the panel temperature reaches 25 ℃, which is the standard test condition (STC). Moreover, a high working temperature can also reduce the lifetime of the PV panel. Based on the limitations that have been highlighted above, this project aims to design and develop a hybrid cooling PV panel by using active and passive cooling system with Arduino UNO R3. In this project, 100 W monocrystalline photovoltaic panel has been selected to analyze the result before and after installation of hybrid cooling system. Active cooling system is a water sprinkler system which is applied in front of the PV panel. Meanwhile, the passive cooling system is a combination of hydrogel beads and the heat-sink cooling system which will be installed behind the PV panel. In result, the average power output of PV panel without cooling was 30.59 W while the average power output of PV panel with hybrid cooling was 34.66 W. Moreover, the average power increased due to cooling was 13.31 %. In a nutshell, the proposed project has the ability to develop a hybrid cooling system to improve the performance and efficiency of the PV panel in order to increase the power output of the panel.
  • Publication
    Outlier detection method in multiple circular regression model via robust circular distance
    (AIP Publishing, 2024-08-19)
    Safwati Ibrahim
    ;
    Mohd Irwan Yusoff
    ;
    Farah Adibah Adnan
    ;
    Aishah Mohd Noor
    ;
    Leow Wai Zhe
    The method of outlier detection with regards to circular regression have been widely developed nowadays. Several diagrammatical plots, numerical presentation as well as hypothesis testing have been recommended in detecting the outliers. As we know, the presence of outliers in dataset significantly impacts the parameter estimation and inference of the statistics. The outlier detection that exists in multiple circular regression model (MCRM) also attracting the interest of statisticians and researchers to do the research in depth. This paper presents the outlier detection method in MCRM using circular distance as well as circular error. The proposed method has been investigated through simulation study and the 5% upper percentiles is considered in obtaining the cut-off point as well as the performance power. Here, the procedure successfully identifies two outliers detected in the data set.