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All Journal Indonesian Journal of Energy Jurnal Nasional Teknik Elektro dan Teknologi Informasi
Luthfansyah Mohammad
Institut Teknologi Sepuluh Nopember
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Pengembangan Sistem Hidroponik Otomatis-Modern Berbasis Panel Surya dan Baterai Luthfansyah Mohammad; Suyanto; Muhammad Khamim Asy’ari; Asma’ul Husna; Sarinah Pakpahan
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 10 No 1: Februari 2021
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1742.901 KB) | DOI: 10.22146/jnteti.v10i1.727

Abstract

The flexibility and the easiness of farming using modern hydroponic method have increased the installation requirements. The various types of plants can be applied to modern hydroponic systems, so this method has potential to be applied in various regions. However, not all regions have access to electricity networks. In fact, to operate modern hydroponic systems, an adequate supply of electrical power is required. In addition, a proper design becomes crucial part which has function to maintain the quality of inorganic substances as needed, accurately and automatically measured. Moreover, the system could be set in off-grid mode. Therefore, a further research of automatic hydroponics was conducted to solve various problems. The experimental data shows that the system is working accurately. The percentage of error sensor is not more than 10.75% and the accuracy of actuator performance is 100%. The system is also capable of working for a full day through a solar panel system of 100 WP and a battery of 27 Ah. In conclusion, the design of the automatic hydroponic system is capable of self-maintaining nutritional and pH value, solving artificial irradiation time problem, while simultaneously operating in various areas in a portable manner.
Performance Enhancement of Solar Panels Using Adaptive Velocity-Particle Swarm Optimization (AVPSO) Algorithm for Charging Station as an Effort for Energy Security Luthfansyah Mohammad; Muhammad K. Asy’ari; Mokhammad F. Izdiharrudin; Suyanto
Indonesian Journal of Energy Vol. 3 No. 2 (2020): Indonesian Journal of Energy
Publisher : Purnomo Yusgiantoro Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33116/ije.v3i2.91

Abstract

The growth of public awareness of the environment is directly proportional to the development of the use of electric cars. Electric cars operate by consuming electrical energy from battery storage, which must be recharged periodically at the charging station. Solar panels are one source of energy that is environmentally friendly and has the potential to be applied to charging stations. The use of solar panels causes the charging station to no longer depend on conventional electricity networks, which the majority of it still use fossil fuel power plants. Solar panels have a problem that is not optimal electrical power output so that it has the potential to affect the charging parameters of the battery charging station. Adaptive Velocity-Particle Swarm Optimization (AV-PSO) is an artificial intelligence type MPPT optimization algorithm that can solve the problem of solar panel power optimization. This study also uses the Coulomb Counting method as a battery capacity estimator. The results showed that the average sensor accuracy is more than 91% with a DC-DC SEPIC converter which has an efficiency of 69.54%. In general, the proposed charging station system has been proven capable to enhance the energy security by optimizing the output power of solar panels up to 22.30% more than using conventional systems.
Co-Authors Asma’ul Husna Mokhammad F. Izdiharrudin Muhammad K. Asy’ari Muhammad Khamim Asy’ari Sarinah Pakpahan Suyanto, Suyanto