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Journal : Jurnal Media Computer Science

Matlab-Based Control Simulation For Increasing The Power Capacity Of Geothermal Power Plants Siagian, Parlin; Alam, Hermansyah; Putra, Randi Rian; Tanjung, Munawar Sajali
Jurnal Media Computer Science Vol 4 No 1 (2025): Januari
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v4i1.8564

Abstract

Geothermal Power Plant (PLTP) is a renewable energy source that has great potential to meet electricity needs in a sustainable manner with low carbon emissions. This research aims to develop mathematical models and Matlab-based control systems to increase the power capacity of geothermal power plants. The system model includes reservoir dynamics, production wells, turbines, and generators with control using the PID (Proportional-Integral-Derivative) method. Simulations were conducted to test the system response to variations in electrical load, reservoir temperature, and operational disturbances. The simulation results show that the PID control successfully maintains the electrical power output to be close to the reference value with a fast response despite the presence of overshoot and initial oscillation. Adjustment of PID parameters is recommended to reduce overshoot and accelerate stabilisation of power output. This research contributes to the optimisation of geothermal power plant operation so as to improve efficiency and national energy security based on geothermal energy.
Optimalisation Strategy For Light Intensity In Solar Cells To Improve Energy Efficiency Siagian, Parlin; Alam, Hermansyah; Fahreza, Muhammad; Frasasti, Ridho Anggu
Jurnal Media Computer Science Vol 4 No 1 (2025): Januari
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v4i1.8576

Abstract

This study explores the optimisation of light intensity on solar cells to improve their energy efficiency. With the increasing global demand for energy and environmental issues due to dependence on fossil fuels, renewable energy sources, particularly solar energy, have become important. However, the efficiency of solar cells remains a challenge, with typical commercial efficiency ranging from 15% to 22%. This research investigates the impact of light intensity on solar cell performance and identifies strategies to optimise it. Factors such as semiconductor material quality, panel angle and orientation, and external conditions like weather and pollution are considered. The study shows that optimising light intensity can significantly enhance the energy conversion efficiency of solar cells. Methods such as using mirrors to concentrate sunlight and adjusting panel positions are explored to maximise light intensity. These findings contribute to the development of more efficient solar cell technology, aiding the broader adoption of clean energy solutions.