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JMECS (Journal of Measurements, Electronics, Communications, and Systems)
Published by Universitas Telkom
ISSN : 24777994     EISSN : 24777986     DOI : https://doi.org/10.25124/jmecs.v6i1
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Materials Science & Nanotechnology
Journal of Measurements, Electronics, Communications, and Systems (JMECS) is a scientific open access journal featuring original works on communication, electronics, instrumentation, measurement, robotics, and security networking. The journal is managed by the School of Electrical Engineering and published by Telkom University. The target audience of JMECS are scientists and engineers engaged in research and development in the above-mentioned fields. JMECS publishes full papers and letters bi-annually in June and December with a high standard double blind review process. Review cycles are typically finished within twelve weeks by application of modern electronic communication facilities. All published articles are checked using ithenticate plagiarism checker software. The scopes include: ELECTRONICS (ELEC) Theory and Design of Circuits Biomedics COMMUNICATION SYSTEMS (COMS) Information Theory Source Coding Channel Coding Optical Communications Wireless Communications SIGNAL PROCESSING (SIGN) Signal and System Image Processing AUTOMATION AND ROBOTICS (AUTO) Industrial Automation Control Theory Control Systems INSTRUMENT AND MEASUREMENT (INST) Power systems Renewable energy Smart Building Sensors Acoustics MATERIAL AND DEVICES (MATE) Material for Electronics Nanomaterials Photonics NETWORKING AND SECURITY (NETW) Network Theory Communication Protocols Switching Internet of Things, ANTENNA AND MICROWAVE (ANTE) Antennas Propagations Nanosatellite Radar Remote Sensing Navigation ARTIFICIAL INTELLIGENCES (ARTI) Machine Learning Intelligent Transportation Systems
Arjuna Subject : Teknik (semua kategori) - Teknik Kontrol dan Sistem
Articles 82 Documents
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Simulation of Updraft and Downdraft Gasification Using Computational Fluid Dynamics (CFD) for Production of Syngas from Chicken Manure Waste Utami, Amaliyah Rohsari Indah; Anindya Nabila Salma; Daffa Rayhan Betha Muchtar; Neni Sintawardani; Suwandi
JMECS (Journal of Measurements, Electronics, Communications, and Systems) In Press Papers
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jmecs.v12i2.8099

Abstract

The rapid industrialization of the poultry sector has led to significant environmental challenges, including nutrient pollution, odor, and greenhouse gas emissions from improper manure management. This study explores the potential of chicken manure waste gasification as a sustainable solution for renewable energy production while addressing waste disposal issues. Utilizing Computational Fluid Dynamics (CFD) simulations in ANSYS Fluent software, the research investigates updraft and downdraft gasification processes under varying operational conditions, including air flow velocity and temperature. The simulation model demonstrated high accuracy in predicting syngas composition, with average errors of 0.1657% at 580°C and 0.0969% at 680°C, validating its reliability. The optimal dimensions for updraft (30 cm diameter, 40 cm height) and downdraft (16.5 cm diameter, 60 cm height) gasifiers were determined to align with industry standards. Results revealed that air flow velocity significantly influenced syngas composition; moderate increases enhanced CO production in updraft configurations, while excessive airflow in downdraft setups reduced CO concentration due to over-oxidation. Temperature optimization further improved syngas quality, with higher temperatures (800°C) increasing CO and H₂ concentrations. The H₂/CO ratio remained stable under updraft conditions but exhibited more significant variability in downdraft setups due to differences in reaction kinetics and flow dynamics. These findings highlight the importance of precise control over operational parameters to optimize syngas yield and composition for energy applications. Future work should focus on refining simulation models, exploring diverse feedstocks, and enhancing process efficiency to advance sustainable waste-to-energy technologies.
Adaptive Control Optimization for Solar Energy Storage Systems Using Fuzzy Logic, Genetic Algorithms, and State of Charge Estimation Wirasapta, Andicho Haryus; Pamungkas, Tiara Deta
JMECS (Journal of Measurements, Electronics, Communications, and Systems) In Press Papers
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jmecs.v12i2.10090

Abstract

The intermittent nature of solar energy results in a generation versus load curve, thus becoming a significant challenge for reliable utilization. The use of a battery energy storage system, on the other hand, plays a vital role in uninterrupted power supply; however, it requires advanced control techniques for smooth functionality. The use of conventional techniques, such as a classical Maximum Power Point Tracking scheme based on Constant Current/Constant Voltage, becomes inefficient for dealing with nonlinear dynamics associated with system functionality, thereby reducing battery life. The proposed composite approach incorporates fuzzy logic decision-making, Genetic Algorithm optimization, and adaptive Extended Kalman Filter estimation for quantifying real-time battery state. A comprehensive PV-BESS model has been developed in the environment of a MATLAB/Simulink toolbox, using actual load as well as actual solar irradiance. The results based on the proposed approach indicate improvement in energy efficiency of 20% along with 5% accuracy in battery state estimation while extending battery life to 18-25% compared to conventional battery energy storage systems. The proposed approach provides a robust, optimizing, as well as a viable solution set for the PV-BESS system, thereby paving the way for future micro-grid development.

Page 9 of 9 | Total Record : 82

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