Portable Pico-hydro Power Plant with Archimedes Screw Turbine in Pelangi Reservoir of Universitas Islam Indonesia

Indonesia has a lot of potential to build hydroelectric power plants because of its size and abundance of water. As in the Islamic University of Indonesia, there is a Pelangi Reservoir which has the potential to develop a pico-hydro power plant. A portable pico hydro system is needed to generate electricity properly. In this study, the pico hydro generator system was designed starting from the turbine, pulley, generator, controller, battery to the load. In the process, the voltage and current generated by this portable pico hydro generator system will be observed. By using a screw turbine, the team designed the system to optimally utilize Pelangi Reservoir water flow. The DC generator was chosen as a converter of kinetic energy into electrical energy because with low rotation, and a stable DC generator produces direct electricity. Several changes from design to reality were made so that the system could work according to field conditions and not damage the ecosystem around Pelangi reservoir. According to the test results, the current pico-hydro system at Pelangi Reservoir UII can generate a maximum power of 8.544 watts and an average discharge of 7.1532 L/second. The power can increase if the water flow has a larger discharge. If the large discharge flow is balanced by the robustness of the turbine and system. At low conditions, the system can charge a battery with a capacity of 12 volts 4 Ah with a water flow rate of 4.807 L/second, which is 9.9 volts to 12.2 volts in 36 minutes. The efficiency of hydroelectric power generation (Pico-hydro) then increases to 16.71%. The system can generate 86.49 watts of electricity at 1500 rpm on the generator

EM-IOT: IoT-Based Battery Monitoring System and Location Tracking on Electric Vehicles

As the community increasingly embraces electric vehicles over time, there is a growing necessity for electric vehicle users to determine the real-time status of their batteries and their locations. This enables them to estimate when and where their electric vehicle batteries will need to be recharged. The battery condition can be used to estimate the remaining distance that the electric vehicle can travel while monitoring and observing the location of the electric vehicle is required for security and can also be used as a suggestion for electric vehicle users to carry out charging by adding information on the location of the nearest charging station. The EM-IOT system is designed to be accessible via an Android smartphone with an easy-to-understand and attractive user interface. The wireless system is designed with the ES12E module and the Thingspeak platform. Testing is done to ensure the system can work properly. The test results of battery monitoring and location tracking on the EM-IOT application have been able to display data with an average error not exceeding 5%. The data on the application is updated every 15 seconds. The EM-IOT system can function properly to monitor battery voltage, battery percentage, remaining distance, and the current location of the system vehicle

Effect of different core materials in very low voltage induction motors for electric vehicle

The use of squirrel cage induction motor for electric vehicle (EV) has been increasingly popular than permanent magnet and brushless motors due to their independence on rare materials. However, its performance is significantly affected by the core materials. In this research, induction motors performance with various core materials (M19_24G, Arnon7, and nickel steel carpenter) are studied in very low voltage. Three phases, 50 Hz, 5 HP, 48 V induction motor were used as the propulsion force testbed applied for a golf cart EV. The aims are to identify loss distribution according to core materials and compare power density and cost. The design process firstly determines the motor specifications, then calculates the dimensions, windings, stator, and rotor slots using MATLAB. The parameters obtained are used as inputs to ANSYS Maxwell to calculate induction motor performance. Finally, the design simulations are carried out on RMxprt and 2D transient software to determine the loss characteristics of core materials. It is found that the stator winding dominates the loss distribution. Winding losses have accounted for 52-55 % of the total loss, followed by rotor winding losses around 25-27 % and losses in the core around 1-7 %. Based on the three materials tested, nickel steel carpenter and M19_24G attain the highest efficiency with 83.27 % and 83.10 %, respectively, while M19_24G and Arnon7 possess the highest power density with 0.37 kW/kg and 0.38 kW/kg whereas, in term of production cost, the Arnon7 is the lowest