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International Journal of Mechanics, Energy Engineering and Applied Science (IJMEAS)
Published by Yayasan Ghalih Pelopor Pendidikan
ISSN : 30266815     EISSN : 30265673     DOI : https://doi.org/10.53893/ijmeas.v2i1
Core Subject : Engineering,
Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Electrical & Electronics Engineering Industrial & Manufacturing Engineering
The International Journal of Mechanics, Energy Engineering and Applied Science (IJMEAS) is a double-blind peer-reviewed journal. This journal provides full open access to its content on the principle that making research freely and independently available to the science community and the public supports a greater global exchange of knowledge and the further development of expertise in the field of engineering. IJMEAS is since the beginning independent from any non-scientific third-party funding. The establishment of the journal was supported between 2023 with grants from the Yayasan Ghalih Pelopor Pendidikan (Ghalih Foundation). All members of IJMEAS work on an honorary basis. The journal is hosted by Ghalih Publishing, the publishing house of the Ghalih Academic and University Library.
Arjuna Subject : Energi (semua kategori) - Energi (Lain-Lain)
Articles 4 Documents
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Search results for , issue "Vol. 3 No. 2 (2025): IJMEAS - May" : 4 Documents clear
Using Finite Element Method to Calculate Strain Energy Release Rate, Stress Intensity Factor and Crack Propagation of an FGM Plate Based on Energy Methods Nguyen, Dien
International Journal of Mechanics, Energy Engineering and Applied Science (IJMEAS) Vol. 3 No. 2 (2025): IJMEAS - May
Publisher : Yayasan Ghalih Pelopor Pendidikan (Ghalih Foundation)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53893/ijmeas.v3i2.395

Abstract

In the field of crack mechanics, predicting the direction of the crack when the propagation crack occurs is important because this will evaluate the crack when it propagates whether it penetrates into important areas, the danger of the structure or not. This paper will refer to three theories that predict the propagation direction of cracks: the theory of maximum tangential normal stress, the theory of maximum energy release and the theory of minimum strain energy density. At the same time, the finite element method (FEM)- ANSYS program will be used to calculate stress intensity factors (SIFs), strain energy release rate- J-integral, simulate stress field, displacement near a crack tip, and crack propagation phenomenon based on the above theories. The calculated results were compared with the results in other scientific papers and experimental results. This research used ANSYS program, an Experimental method combined with FEM based on the above energy theories to simulate J-integral, the SIFs and crack propagation. The errors of SIFs of a functionally-graded material (FGM)rectangular plate has a Internal Crack of 0.33% for , 0.43% for , the J-integral of 1.62% and crack propagation angle of 0.15%. The FEM gave good errors compared to Experimental and Exactly methods.
OPTIMIZING THE PERFORMANCE OF WIND TURBINES USING EXHAUST GAS AT THE BORANG GAS POWER PLANT Fitrianza; Arifin, Fatahul; RS, Carlos
International Journal of Mechanics, Energy Engineering and Applied Science (IJMEAS) Vol. 3 No. 2 (2025): IJMEAS - May
Publisher : Yayasan Ghalih Pelopor Pendidikan (Ghalih Foundation)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53893/ijmeas.v3i2.405

Abstract

As a renewable energy source, wind energy is one of the promising energies to be developed using wind turbines. The wind source to drive wind turbines comes from natural wind sources and exhaust wind from equipment. Palembang is one of the provinces in Indonesia with relatively low wind energy potential, with an average wind speed ranging from 1.5 to 3 m/s. However, at the PLTG Sematang Borang power plant owned by PT PLN, there is equipment that produces exhaust wind with a speed of 5 m/s. This study will compare the performance of Horizontal Axis Wind Turbines (HAWTs) and Savonius Vertical Axis Wind Turbines (VAWTs) to design wind turbines that can meet power generation needs and reduce operational power consumption.
SYNERGY OF GREEN ENERGY AND SMART TECHNOLOGY: APPLICATION OF RECURRENT NEURAL NETWORKS IN SOLAR-POWERED AGRICULTURE Maulidina, Elfira; Dewi, Tresna; Kusumanto, Raden
International Journal of Mechanics, Energy Engineering and Applied Science (IJMEAS) Vol. 3 No. 2 (2025): IJMEAS - May
Publisher : Yayasan Ghalih Pelopor Pendidikan (Ghalih Foundation)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53893/ijmeas.v3i2.406

Abstract

In an effort to improve energy efficiency and sustainability in the agricultural sector, smart technology has been integrated into the greenhouse system. The research utilizes the Recurrent Neural Network (RNN) algorithm to forecast values of irradiance on a time principal. The RNN algorithm is chosen for its ability to handle time-series data and predict patterns based on historical data. By using the RNN algorithm, the system can predict real-time needs and then use this information to optimally distribute power from solar power plants. Additionally, this system is equipped with Internet of Things (IoT)-based monitoring capabilities, allowing remote monitoring and control of the research object. Connected IoT sensors collect real-time environmental data and send it to the data server for analysis. The data is also used to update the model of RNN, making supply prediction more accurate over time. The implementation results show increased energy efficiency and reduced operational costs in Green House management. By leveraging AI and IoT technology, model evaluation is conducted using RMSE, MSE, MAE, and R-squared (R²) metrics as important indicators of model accuracy. The evaluation results indicate that this model can provide accurate predictions of irradiance patterns, with low RMSE and MAE values and R² approaching one, signifying excellent implementation in capturing data dynamics.
Performance Evaluation of a Hybrid Solar Panel and Thermoelectric Generator (TEG) System with Copper Plate Enhancement on the Hot Side Bayusari, Ike; Ronting, Virgie Claudia; Soraya, Ayu; Caroline; Hermawati; Rahmawati
International Journal of Mechanics, Energy Engineering and Applied Science (IJMEAS) Vol. 3 No. 2 (2025): IJMEAS - May
Publisher : Yayasan Ghalih Pelopor Pendidikan (Ghalih Foundation)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53893/ijmeas.v3i2.409

Abstract

The utilization of solar energy is commonly achieved through solar panels; however, heat dissipation from the panels often reduces their overall efficiency. A hybrid system combining solar panels and thermoelectric generators (TEGs) offers a potential solution to this issue. To enhance the temperature difference (∆T) across the TEG, a metal plate can be added to the hot side, while a heatsink is applied to the cold side. This study investigates the performance of three prototype configurations: a 2.4 Wp monocrystalline solar panel integrated with a TEG module, with variations in the addition of a copper plate, an aluminum plate, and no plate on the TEG hot side. Experimental results demonstrate that the prototype with a copper plate yielded the highest average values, with a ∆T of 8.63 °C, voltage of 11.57 V, current of 0.17 A, and power output of 2.02 W. In comparison, the aluminum plate prototype achieved a ∆T of 6.11 °C, voltage of 11.57 V, current of 0.16 A, and power output of 1.71 W, while the prototype without any plate produced a ∆T of 5.80 °C, voltage of 10.79 V, current of 0.15 A, and power output of 1.63 W. Among all tested configurations, the copper plate prototype exhibited superior performance, attributed to the high thermal conductivity of copper, which significantly enhances the ∆T across the TEG, thereby increasing electrical output.

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