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Thermoelectric Generator Module as An Alternative Source Of Electrical Energy in Rural Areas Arkundato, Artoto; Jatisukamto, Gaguk; Misto, Misto; Maulina, Wenny; Syah, Khalif Ardian
Rekayasa : Jurnal Penerapan Teknologi dan Pembelajaran Vol 18, No 1 (2020): July
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/rekayasa.v18i1.23691

Abstract

It has been done  a research to design a heat-to-electric converter as an alternative electrical energy source based on the thermoelectric generator devices that can convert the heat into the DC electricity. This research aims to determine the optimal operating temperature range to produce the thermoelectric generator’s output voltage as the desired conversion module. The developed conversion module uses the Seebeck effect by applying four thermoelectric generators arranged in an electrical circuit series. The electric current in thermoelectric generator occurs under the Seebeck effect due to the temperature difference between the two metal chips in the thermoelectric generator module. Candles were used as a heat source of thermoelectric generator module, while water is used for cooling. The results showed that the application of thermoelectric generator technology had produced an electrical voltage of about 5 volts. The thermoelectric generator’s operating temperature around 100 ºC, and the temperature of the water cooling medium was maintained at around 30 ºC so that there is a correlation with a temperature difference of about 70 ºC between the two sides of the thermoelectric generator chips. The electrical voltage that occurs could be used as a source of electrical energy for any purposes.
Thermoelectric Generator Module as An Alternative Source Of Electrical Energy in Rural Areas Arkundato, Artoto; Jatisukamto, Gaguk; Misto, Misto; Maulina, Wenny; Syah, Khalif Ardian
Rekayasa : Jurnal Penerapan Teknologi dan Pembelajaran Vol 18, No 1 (2020): July
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/rekayasa.v18i1.23691

Abstract

It has been done  a research to design a heat-to-electric converter as an alternative electrical energy source based on the thermoelectric generator devices that can convert the heat into the DC electricity. This research aims to determine the optimal operating temperature range to produce the thermoelectric generator’s output voltage as the desired conversion module. The developed conversion module uses the Seebeck effect by applying four thermoelectric generators arranged in an electrical circuit series. The electric current in thermoelectric generator occurs under the Seebeck effect due to the temperature difference between the two metal chips in the thermoelectric generator module. Candles were used as a heat source of thermoelectric generator module, while water is used for cooling. The results showed that the application of thermoelectric generator technology had produced an electrical voltage of about 5 volts. The thermoelectric generator’s operating temperature around 100 ºC, and the temperature of the water cooling medium was maintained at around 30 ºC so that there is a correlation with a temperature difference of about 70 ºC between the two sides of the thermoelectric generator chips. The electrical voltage that occurs could be used as a source of electrical energy for any purposes.
Hybrid DFT-ML-MD Approach for Derivation of Lennard-Jones Interatomic Potential Parameters of Al Arkundato, Artoto; Widiasih; Ratnadewi, Anak Agung Istri Ratnadewi; Syah, Khalif Ardian; Yulianti, Yanti
Journal of Energy, Material, and Instrumentation Technology Vol 6 No 2 (2025): Journal of Energy, Material, and Instrumentation Technology
Publisher : Departement of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jemit.v6i2.306

Abstract

Atomistic simulation based on computational physics of methods is used to develop accurate interatomic potentials based on DFT (density functional theory) data. The accuracy of predicting the physical properties of a material is highly dependent on the quality of the interatomic potential used. The purpose of this study is to determine the Lennard-Jones potential parameters of Al metal (epsilon and sigma) from fitting the DFT simulation output data. The use of a “robust” fitting method to reduce the influence of outliers on the potential results is very important and therefore a machine learning method is used to help find the right potential parameters. The method used is a hybrid method using DFT to generate training data, using ML (machine learning) to fit DFT data to the Lennard-Jones (LJ) potential model, and using the MD (molecular dynamics) method to validate the LJ potential parameters. Python-based programming is applied to facilitate how the three methods can be connected. The results of this study are that Al metal has an epsilon value = 0.5000 eV and sigma Al = 3.2072 Å, with a regression coefficient R2 = 0.9441 so that it can be concluded that this study can be said to be quite good and the hybrid method can be further developed to obtain the LJ potential parameter values of various other materials, especially metals.