Journal of Mechatronics, Electrical Power, and Vehicular Technology
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Analisis Rugi-Rugi Panas pada Tangki Penyimpan Panas dalam Sistem Pembangkit Listrik Tenaga Matahari
Analysis of heat loss on heat storage tank in solar power generation system is intended to determine the heat loss value during storage. Selection of insulation material, insulation thickness, time of storage and heat storage fluid affects the heat losses. The research was initiated by determining the dimension of the tank and its insulation material, and determining the heat storage time in the tank. Fluid and operating temperature is determined to get the fluid specification to be used as data analysis. The analysis begins with the calculation of storage capacities, followed by making of thermal nets to get the thermal resistance equation which is then used to calculate the heat loss in the tank. The result shows that the heat storage tank with 0.4 m diameter and 0.45 m height and uses ceramic fiber wool insulation with 0.1m thickness gives the value of heat loss of 63.43 W.
Study of Biogas for Power Generation at Pesantren Saung Balong Al-Barokah, Majalengka, West Java
Utilization of biogas from cow manure as a fuel alternative for power plants is done through an anaerobic process. A pilot plant with biogas production of 7 m3/day has been installed at Pesantren Saung Balong. Biogas is used for everyday purposes such as cooking and lighting, and used as pure biogas with 2.500 Watt scale generator. Biogas produced with the rate of 0.080 m3/hr. Biogas produced during the measurement (450 minutes) is 0.604 m3. With these data it is predicted that within a day (24 hours) biogas which can be generated is equal to 1.92 m3. Meanwhile, consumption of biogas to the generator with 1.047 W load is 0.019 m3/minutes, the generator will operate for approximately 101.05 minutes or 1.68 hours. Thus electricity that can be saved is 1.759 kWh per day or 52.77 kWh per month and electricity cost that can be saved that is equal to Rp.40.896/month.
Experiment and Analysis of Car Alternator for Wind Turbine Application
This paper discusses experiment and analysis to find out the feasibility of a car alternator to be used as a generator for wind turbine. The experiment was conducted twice. The first experiment was to characterize the alternator to determine the mechanical transmission ratio. In this experiment the alternator was driven by a lathe machine and its output power was supplied to charge a battery. In the second experiment the alternator was integrated with the turbine blades and they were tested as a unit system. In both experiments, the electric generation of alternator was executed with fixed excitation current method. The correlation between the alternator characteristic and the tip speed ratio gives the mechanical transmission ratio of 1 : 3. The experiment results show that the efficiency of alternator is around 50% and cut-in wind speed (after correction) is 6.35 m/s indicating that alternator is not feasible for wind turbine system application.
DC Brushless Motor Control Design and Preliminary Testing for Independent 4-Wheel Drive Rev-11 Robotic Platform
This paper discusses the design of control system for brushless DC motor using microcontroller ATMega 16 that will be applied to an independent 4-wheel drive Mobile Robot LIPI version 2 (REV-11). The control system consists of two parts which are brushless DC motor control module and supervisory control module that coordinates the desired command to the motor control module. To control the REV-11 platform, supervisory control transmit the reference data of speed and direction of motor to control the speed and direction of each actuator on the platform REV-11. From the test results it is concluded that the designed control system work properly to coordinate and control the speed and direction of motion of the actuator motor REV-11 platform.
Pengembangan Sistem Kontrol Traksi Mobil Elektrik Berbasis Rekonstruksi Keadaan Kecepatan Model Roda
In this paper the development of electric vehicle traction control based on state of speed reconstruction of vehicle model that has the same acceleration condition between tire and chassis is studied. Vehicle is accelerated if the friction force takes place between tire and road. However, the traction force decreases even tends to zero on slippery road and torque input produces a large slip. Evidently, tire slip can be reduced by decreasing the applied torque to the tire. So the basic principle of the proposed method here compares the real vehicle tire speed condition with the model to determine the torque in order to reduce the slip. Tire speed is controlled in order to follow the reference value that is calculated from the model. Tire torque input then can be controlled by applying the feedback that is obtained from the difference value of speed between model and real tire. Implementation of this method on a real vehicle shows that the control method effectively controls the tire speed of vehicle to follow the reference and reducing the slip. From the experiment the control system performance in reducing slip has the result of 9.8% for maximum overshoot, 3.1 second for rise time, and 8 second for settling time.
Modelling and Identification of Oxygen Excess Ratio of Self-Humidified PEM Fuel Cell System
One essential parameter in fuel cell operation is oxygen excess ratio which describes comparison between reacted and supplied oxygen number in cathode. Oxygen excess ratio relates to fuel cell safety and lifetime. This paper explains development of air feed model and oxygen excess ratio calculation in commercial self-humidified PEM fuel cell system with 1 kW output power. This modelling was developed from measured data which was limited in open loop system. It was carried out to get relationship between oxygen excess ratio with stack output current and fan motor voltage. It generated fourth-order 56.26% best fit ARX linear polynomial model estimation (loss function = 0.0159, FPE = 0.0159) and second-order ARX nonlinear model estimation with 75 units of wavenet estimator with 84.95% best fit (loss function = 0.0139). The second-order ARX model linearization yielded 78.18% best fit (loss function = 0.0009, FPE = 0.0009)