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Journal : Journal Electrical and Computer Experiences

Design and Construction of a Solar Power Plant (PLTS) in the 3T rea Tourist Houses of Gangga Murmas Trees Lombok Utara Falah, Moh. Zainul; Wahyu Tri Handoko; Ryan Kurniawan
Journal Electrical and Computer Experiences Vol. 1 No. 2 (2023): July-December
Publisher : Tinta Emas Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59535/jece.v1i2.182

Abstract

Indonesia has great potential for the development of Solar Power Plants (PLTS) thanks to its geographical condition which is located in a tropical area with sunshine all year round Average Daily Irradiation: Around 5-6 kWh/m² per day. This research aims to design and build an Off Grid Solar Power Plant (PLTS) that can meet electrical energy needs in underdeveloped, frontier and outermost areas (3T) in the Gangga Murmas Tree House tourist area, Lombok Utara. This area is known to have limited access to electricity from the main network, so the implementation of an Off Grid PLTS system is considered an effective and sustainable solution. The research method involves field surveys to identify environmental characteristics, energy needs, and electricity consumption patterns in the area. Next, an Off Grid PLTS system design analysis was carried out which included the selection of main components such as solar panels, energy storage batteries and charging controllers. System testing and evaluation is carried out to ensure optimal performance under local environmental conditions. It is hoped that the results of this research can make a significant contribution to the development of renewable energy in the 3T area, increase electricity accessibility, and support the sustainability of the Gangga Murmas Tree House tourist area. This PLTS is designed to meet electricity needs related to lighting at night in this tourist area, where currently there is no lighting at night. The power generated is 600 Wph with an electricity requirement of 120 Wh for 12 hours.
Solar Panel Analysis for Forecasting Solar Irradiation Using Fuzzy Time Series and ANN Methods Falah, Moh. Zainul; Wahyu Tri Handoko; Sujito; Abdullah Iskandar Syah; Muladi; Arif Nur Afandi
Journal Electrical and Computer Experiences Vol. 1 No. 2 (2023): July-December
Publisher : Tinta Emas Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59535/jece.v1i2.183

Abstract

Solar energy is very important because it is a renewable and environmentally friendly source of energy. The demand for solar energy is increasing every year because people are increasingly aware of the importance of using clean and sustainable energy sources. This study aims to analyze the performance of solar panels using a solar irradiation forecasting model developed by the Fuzzy Time Series and Artificial Neural Network (ANN) methods. Solar irradiation data obtained from measurement of solar irradiation by means of IoT is used as input in the forecasting model. The forecasting model is then tested to see its accuracy in predicting solar panel performance. The test results show that the developed forecasting model has high accuracy in predicting solar panel performance. Therefore, the Fuzzy Time Series and ANN methods can be used as an effective tool in analyzing the performance of solar panels by taking into account environmental factors that have an impact on electricity production from solar panels. This research can be a reference for solar panel developers to improve solar panel performance by utilizing solar irradiation forecasting information.