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All Journal World Chemical Engineering Journal
Syaichurrozi, Iqbal
Department of Chemical Engineering, Universitas Sultan Ageng Tirtayasa
Chemical Engineering, Chemistry & Bioengineering

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Journal : World Chemical Engineering Journal

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Review: Biogas Production from Rice Husks Astria, Windi; Putri, Ratih Ramadhani; Fattah, Hanif Al; Suhendi, Endang; Syaichurrozi, Iqbal
World Chemical Engineering Journal VOLUME 8 NO. 2 DECEMBER 2024
Publisher : Chemical Engineering Department, Engineering Faculty, Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/wcej.v8i2.29811

Abstract

For Indonesians, rice is a basic diet. Rice husks, a waste product of the milling process used to turn paddy into rice, have a great potential for conversion into raw materials for biogas. Several factors that affect the rate of biogas production are the initial treatment (pre-treatment), temperature, acidity (pH), total solid content (TS), and C/N ratio, this is done to help the degradation process of lignin and cellulose can run quickly which has an impact on increasing biogas production. The development of biogas from rice husk waste has significant promise for Indonesia since it can help reduce the country's rice husk waste stockpile and could eventually become one of the country's primary alternative energy sources.
Kinetic Analysis of Biogas Production from Poultry Manure Waste using Gompertz, Transference, and Logistic Models Ibrahim, Achmad Faizal; Najiyah, Elisa Restu Dian; Abigail, Mohamad Farrel; Satria, Muhamad Ariel; Syaichurrozi, Iqbal
World Chemical Engineering Journal VOLUME 9 NO. 1 JUNE 2025
Publisher : Chemical Engineering Department, Engineering Faculty, Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/wcej.v9i1.33624

Abstract

Biogas production through anaerobic fermentation is a promising renewable energy alternative that continues to gain attention. To improve the accuracy and efficiency of production predictions, kinetic modeling approaches that describe the underlying biological processes are essential. This study compares three kinetic models Gompertz, Logistic, and Transference in predicting biogas production under varying pH conditions, with the aim of identifying the model that best represents the experimental data. The models were evaluated based on parameters including maximum production capacity (Ym), maximum production rate (U), lag time (λ), and prediction errors quantified by the sum of squared errors (SSE), root mean square error (RMSE), and coefficient of determination (R²). The results demonstrate that the Transference model consistently outperforms the other models. At neutral pH (pH 7), the Transference model predicted a maximum biogas production of 2127.11 cm³, a maximum daily production rate of 158.23 cm³/day, a short lag phase of 0.947 days, a low SSE value of 3223.45, and an R² value of 1.000, indicating an excellent fit to the experimental data. Compared to the Gompertz and Logistic models, the Transference model exhibited greater stability, accuracy, and realism in representing the biogas production process. These findings indicate that the Transference model is a reliable predictive tool for the design and optimization of biogas production systems, particularly under optimal pH conditions.
Kinetic Analysis of the Effect of pH on Biogas Production from Cow Manure Waste through Anaerobic Processes Priyatna, Aufa Irsyad; Firdaus, Alzena Nasywa; Sa'diyah, Siti Halimatu; Syaichurrozi, Iqbal
World Chemical Engineering Journal VOLUME 9 NO. 1 JUNE 2025
Publisher : Chemical Engineering Department, Engineering Faculty, Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/wcej.v9i1.33625

Abstract

Biogas is the decomposition of organic waste by bacteria through an anaerobic fermentation process that can be managed to produce biogas in the form of methane gas (CH4). This study aims to analyze the effect of pH variation on biogas production through anaerobic digestion using a kinetic modeling approach. Using secondary data from previous studies, three kinetic models Gompertz, First Order, and Logistic were applied to predict biogas volume at acidic pH 4.52, neutral (6.80), and alkaline (8.52). Alkaline pH (8.52) resulted in the highest biogas production at 2850 mL. At pH 8.52, Gompertz parameters such as production potential (4,231.24 mL), maximum rate (163.19 mL/day), and shortest lag phase (3.92 days) indicated the highest efficiency.
Co-Authors Abigail, Mohamad Farrel Astria, Windi Fattah, Hanif Al Firdaus, Alzena Nasywa Ibrahim, Achmad Faizal Najiyah, Elisa Restu Dian Priyatna, Aufa Irsyad Putri, Ratih Ramadhani Sa'diyah, Siti Halimatu Satria, Muhamad Ariel Suhendi, Endang