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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.
Open-Circuit Voltage Characteristics of Cu–Zn Soil Batteries in Humus, Peat, and Sand: Experimental Comparison and Empirical Regression suwandi, suwandi; Utami, Amaliyah Rohsari Indah; Fitriyanti, Nurwulan; Davianti, Ajeng Faradilla Putri; Ghassani, Deika Saffanah Nisyyah; Arfandi, Rizky Nurfadillah
Jurnal Ilmiah Pendidikan Fisika Al-Biruni Vol 14 No 2 (2025): Jurnal Ilmiah Pendidikan Fisika Al-Biruni
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/jipfalbiruni.v14i2.28494

Abstract

The development of low-cost, sustainable power sources is critical to supporting distributed environmental sensing, agricultural monitoring, and physics education in regions with limited or unreliable access to the grid. This study investigates the open-circuit voltage (OCV) characteristics of Cu–Zn soil batteries embedded in three representative Indonesian soils, humus, peat, and sand, using a 26-cell series–parallel stack under controlled laboratory conditions, along with an empirical logarithmic regression model for electrode sizing. A total of 26 Cu–Zn cells were installed in each soil type, with three independent containers per soil (n = 3) at 25 ± 1 °C; stack OCV was recorded every 5 minutes over 30 minutes, and baseline soil physicochemical properties (moisture, pH, organic C, total N, C/N ratio, and exchangeable Ca, K, and Fe) were characterized to aid interpretation. The results show that humus produced the highest and most stable average stack voltage (9.92 V; range 9.55–10.08 V), followed by peat (8.70 V; 8.50–8.90 V) and sand (6.17 V; 5.99–6.27 V), a ranking consistent with differences in organic matter, acidity, and exchangeable cations rather than directly measured soil electrical conductivity. An empirical logarithmic model linking electrode surface area to OCV, adapted from previous studies and recalibrated for the present configuration, yielded average relative errors of approximately 4–5% within the tested electrode-area range, indicating good agreement between predicted and measured voltages while remaining well below theoretical electrochemical potentials. Within the limitations of short-term, open-circuit measurements without current–voltage or aging tests, these findings identify humus as the most favorable medium among the tested soils for achieving relatively high and stable OCV, and provide an empirically validated framework to support the design and upscaling of Cu–Zn soil battery arrays for sustainable low-power applications in agriculture and physics education.