Articles
<![CDATA[Cooling on Photovoltaic Panel Using Forced Air Convection Induced by DC Fan ]]>
<![CDATA[A.R. Amelia]]>;
<![CDATA[Y.M. Irwan]]>;
<![CDATA[M. Irwanto]]>;
<![CDATA[W.Z. Leow]]>;
<![CDATA[N. Gomesh]]>;
<![CDATA[I. Safwati]]>;
<![CDATA[M.A.M. Anuar]]>
<![CDATA[ International Journal of Electrical and Computer Engineering (IJECE) Vol 6, No 2: April 2016 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijece.v6i2.pp526-534
<![CDATA[Photovoltaic (PV) panel is the heart of solar system generally has a low energy conversion efficiency available in the market. PV panel temperature control is the main key to keeping the PV panel operate efficiently. This paper presented the great influenced of the cooling system in reduced PV panel temperature. A cooling system has been developed based on forced convection induced by DC fan as cooling mechanism. DC fan was attached at the back side of PV panel will extract the heat energy distributed and cool down the PV panel. The working operation of DC fan controlled by PIC18F4550 microcontroller which depending on the average value of PV panel temperature. Experiments were performed with and without cooling mechanism attached at the backside PV panel. The whole PV system was subsequently evaluated in outdoor weather conditions. As a result, it is concluded that there is an optimum number of DC fans required as cooling mechanism in producing efficient electrical output from a PV panel. The study clearly shows how cooling mechanism improves the performance of PV panel at the hot climatic weather. In short, the reduction of PV panel temperature is very important to keep its performance operated efficiently.]]>
<![CDATA[Analysis Air Cooling Mechanism for Photovoltaic Panel by Solar Simulator ]]>
<![CDATA[Mohd. Irwan Yusoff]]>;
<![CDATA[Leow Wai Zhe]]>;
<![CDATA[Muhammad Irwanto Misrun]]>;
<![CDATA[Mohd Fareq Abd. Malek]]>;
<![CDATA[Amelia Abdul Razak]]>;
<![CDATA[Gomesh Nair A/L Shasidharan]]>;
<![CDATA[Safwati Ibrahim]]>
<![CDATA[ International Journal of Electrical and Computer Engineering (IJECE) Vol 5, No 4: August 2015 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijece.v5i4.pp636-643
<![CDATA[Measurement the outdoor efficiency of photovoltaic (PV) panels is essential, but it is not likely an exceptional circumstance at any given moment is always repeating itself. A solar simulator was designed and fabricated for the purpose of analyzing the performance of PV panel with and without an air cooling mechanism in indoor test. Twenty units of 500 W halogen lamps with build-in reflector support by the steel structure holder act as a natural sunlight. The uniformity of the solar radiation was measured in the test area. Two units of PV panel with same characteristics were experimental in three sets of uniformity of solar radiation, which are 620, 821 and 1016 W/m². The operating temperature of PV panel with an air cooling mechanism can be decreased 2-3 ˚C compared to PV panel reference. The PV panel with an air cooling mechanism can be increased in 3-7 % of maximum power output based on solar radiation. An overall method and procedure of the measurement by the solar simulator are discussed and proposed.]]>
<![CDATA[Analysis of wind speed characteristics using different distribution models in Medan City, Indonesia ]]>
<![CDATA[Suwarno Suwarno]]>;
<![CDATA[Ismail Yusuf]]>;
<![CDATA[M. Irwanto]]>;
<![CDATA[Ayong Hiendro]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 12, No 2: June 2021 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v12.i2.pp1102-1113
<![CDATA[Estimating wind speed characteristics plays an essential role in designing a wind power plant at a selected location. In this study, the Weibull, gamma, and exponential distribution models were proposed to estimate and analyze the wind speed parameters and distribution functions. Real measured data were collected from Medan City, Indonesia. The scale and shape factors of wind distribution for three years data were calculated. The observed cumulative probability of the three models was compared to predicted wind characteristics. The probability density function (PDF) and the cumulative density function (CDF) of wind speed were also analyzed. The results showed that the Weibull model was the best model to determine PDF, while the exponential model was the best model to determine CDF for the Medan City wind site.]]>
<![CDATA[Solar energy density estimation using ANFIS based on daily maximum and minimum temperature ]]>
<![CDATA[M. Irwanto]]>;
<![CDATA[H. Alam]]>;
<![CDATA[M. Masri]]>;
<![CDATA[B. Ismail]]>;
<![CDATA[W. Z. Leow]]>;
<![CDATA[Y. M. Irwan]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 10, No 4: December 2019 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v10.i4.pp2206-2213
<![CDATA[The data of solar energy density in one area is very important when the area will constructed photovoltaic (PV) system. The data is as preliminary study to decide what the area is suitable or not to be constructed the PV application system. But, sometime the available data is missing because the limitation of weather equipment. An alternative technique for the available data of solar energy density should be done for the continuity of PV application system decision. An estimation technique of solar energy density is one part of good alternative to solve this problem. This paper presents the estimation of solar energy density using Adaptive Neuron Fuzzy Inference System (ANFIS). The ANFIS system has two input data of the measured daily minimum, maximum temperature and difference between maximum and minimum temperature. The measured solar energy density is as target data of ANFIS system. The data is recorded from Medan meteorological station through the web site of world weather online for the year of 2018. The result shows that the average estimated solar energy density is classified in the very high solar energy density and based on the percentage error shows that the estimated solar energy density is acceptable.]]>
<![CDATA[Influences of Hybrid Cooling Mechanism through PV System under Solar Simulator Testing ]]>
<![CDATA[Y.M. Irwan]]>;
<![CDATA[A.R. Amelia]]>;
<![CDATA[M. Irwanto]]>;
<![CDATA[W.Z. Leow]]>;
<![CDATA[Z. Syafiqah]]>;
<![CDATA[I. Safwati]]>
<![CDATA[ International Journal of Advances in Applied Sciences Vol 6, No 3: September 2017 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijaas.v6.i3.pp213-220
<![CDATA[An increasing efficiency of the solar system can be improved by using hybrid cooling mechanism. This paper presents the impact of hybrid cooling mechanism on PV panel under indoor testing with varying solar intensity. Thus, the fabrication of a solar simulator for indoor testing reacts as the space solar radiation is described. The performance of PV panel which attached to a hybrid cooling mechanism compared with PV panel without cooling mechanism under variation of average solar radiation. Experimental tests were carried out for various average solar radiations by varying the number of lamps and/or the lamp-to-area distance. Without altering the spectral distribution, the characteristic of current-voltage of PV panel was analysed under average solar radiation which varied from 202 W/m2 to 1003 W/m2. As the result, the PV panel with hybrid cooling system explored to generate more power output with decreasing in PV panel temperature. About 15.79 % increment of power output generated by PV panel with cooling at maximum average solar radiation. Furthermore, the PV panel temperature also can be decreased about 10.28 % respectively. The combination of DC fan and water pump as cooling mechanism plays an important role in generating efficient power output from PV panel.]]>
<![CDATA[Wireless Power Transfer by Using Solar Energy ]]>
<![CDATA[M. Fareq]]>;
<![CDATA[M. Fitra]]>;
<![CDATA[M. Irwanto]]>;
<![CDATA[Syafruddin HS]]>;
<![CDATA[N. Gomesh]]>;
<![CDATA[M. Rozailan]]>;
<![CDATA[M. Arinal]]>;
<![CDATA[Y.M. Irwan]]>;
<![CDATA[J. Zarinatul]]>
<![CDATA[ TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 12, No 3: September 2014 ]]>
Publisher : <![CDATA[Universitas Ahmad Dahlan ]]>
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DOI: 10.12928/telkomnika.v12i3.93
<![CDATA[This project is based on how to transmit electrical power without wires, using solar energy as source. The power is transferred wirelessly through an inductive coupling method. With this new discovery, we no longer need complicated with the cable passing around us, with Power without Wires (Wireless Electricity) we can use our electronic equipment such as TV, MP3 Player, HiFi Headset; everything works without the use of batteries or electrical wiring. In fact, mobile devices such as laptop batteries, mobile phone, or digital camera filled automatically, so once you enter the house, of course without having to plug in the cable. The project is offer to study and fabricate wireless power transfer by using inductive coupling. Experiments have been conducted and the wireless power transfer using inductive coupling can be transfer energy up to 10 cm.]]>
<![CDATA[Potential of Wind Speed for Wind Power Generation In Perlis, Northern Malaysia ]]>
<![CDATA[I. Daut I. Daut]]>;
<![CDATA[M. Irwanto M. Irwanto]]>;
<![CDATA[Suwarno Suwarno]]>;
<![CDATA[Y.M. Irwan Y.M. Irwan]]>;
<![CDATA[N. Gomesh N. Gomesh]]>;
<![CDATA[N. S. Ahmad N. S. Ahmad]]>
<![CDATA[ TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 9, No 3: December 2011 ]]>
Publisher : <![CDATA[Universitas Ahmad Dahlan ]]>
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DOI: 10.12928/telkomnika.v9i3.750
<![CDATA[ This paper presents an analysis of the wind speed characteristics in Perlis, Northern Malaysia for the year of 2006. The characteristics consist of daily, monthly and annual mean wind speed. The Weibull distribution function is applied to analyze the wind speed characteristics and used to calculate the wind power generation potential. Potential of wind power generation is observed and analyzed during 24 hours (9th March 2011). The analysis result of monthly mean wind power and energy density show that the early (January to march) and the end (December) of year have a high wind power and energy potential, but the middle of year they are very low, it is necessary to develop a special wind power generation capable of harnessing the little wind resource available in Perlis. Observation during 24 hours (9th March 2011), for a 24 V wind power generation gives 10% of its total output voltage.]]>
<![CDATA[Effect of DC voltage source on the voltage and current of transmitter and receiver coil of 2.5 kHz wireless power transfer ]]>
<![CDATA[A. H. Butar-Butar]]>;
<![CDATA[J. H. Leong]]>;
<![CDATA[M. Irwanto]]>
<![CDATA[ Bulletin of Electrical Engineering and Informatics Vol 9, No 2: April 2020 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/eei.v9i2.2060
<![CDATA[A solenoid supplied by alternating current (AC) voltage generates electromagnetic which has a field area depends on the level of supplied voltage and current flows through the solenoid. The electromagnetic filed can be captured by the other solenoid in the field area. This concept can be applied in a wireless power transfer (WPT) as presented in this paper. The WPT has transmitter coil and receiver coil which each has form of solenoid. The transmitter coil is connected a half bridge circuit to generate AC voltage on the transmitter coil which transferred to the receiver coil. In the experimental set up, the receiver coil is supplied by DC voltage source and it is changed to observe its effect on the voltage and current on the transmitter and receiver coil of the WPT system.]]>
<![CDATA[Optimum reactive power to improve power factor in industry using genetic algortihm ]]>
<![CDATA[Ahmad Yani]]>;
<![CDATA[Junaidi Junaidi]]>;
<![CDATA[M. Irwanto]]>;
<![CDATA[A. H. Haziah]]>
<![CDATA[ Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 2: May 2019 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijeecs.v14.i2.pp751-757
<![CDATA[Capacitor bank is a collection of power tools in the form of a capacitor that serves as a tool that can reduce or improve reactive power into the power grid. The load on the electricity network in general is an inductive load. If the average power factor (cos ϴ) is less than 0.85, the State Electricity Company will provide the reactive power in KVAR fines usage charges on customers. An effort should be done to reduce the reactive power. An installation of bank capacitor is suitable to be implemented in an industry AC loads. It will reduce the reactive power and improve the power factor. In the case of 380 V, 50 Hz, 500 kW AC loads are improved the power factor from 0.7 to 0.93 using genetic algorithm, thus the AC loads current and reactive power will be decreased. It is suitable that the AC loads current is inversely proportional to the power factor, and the reactive power is proportional to the AC loads current.]]>
<![CDATA[Investigation of Solar Panel Performance Based on Different Wind Velocity Using ANSYS Software ]]>
<![CDATA[Leow Wai Zhe]]>;
<![CDATA[Mohd. Irwan Bin Yusoff]]>;
<![CDATA[Muhammad Irwanto Misrun]]>;
<![CDATA[Amelia Binti Abdul Razak]]>;
<![CDATA[Safwati Ibrahim]]>;
<![CDATA[Nur Syafiqah Binti Zhubir]]>
<![CDATA[ Indonesian Journal of Electrical Engineering and Computer Science Vol 1, No 3: March 2016 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijeecs.v1.i3.pp456-463
<![CDATA[ The low conversion energy efficiency of solar panel is affected by the several environmental issues. Solar radiation, ambient temperature, dust accumulation and wind velocity are the environmental problems. This main goal of this paper is to understanding the solar panel behavior under varying of wind velocity amounts. A three-dimension (3-D) model of solar panel is conducted in the present investigation. The solar panel model is simulated under given operating condition and different amounts of wind velocity. Four different of wind velocity value of 0 m/s, 0.43 m/s, 2.5 m/s and 6.95 m/s was selected to examine the solar panel performance. The simulation results are obtained with ANSYS simulation software. The temperature distribution of the solar panel model will be discussed in this current paper. The simulation result is showed highest wind velocity can be provided good cooling effect for the solar panel model in order to enable the solar panel can be operated to perform well at lower temperature.]]>
