Kinetic Analysis of Anaerobic Digestion of Rice Husk for Prediction of Methane Yield

Analisis Kinetika Pencernaan Anaerobik Sekam Padi untuk Prediksi Hasil Metana

Authors

  • Lukhi Mulia Shitophyta Universitas Ahmad Dahlan http://orcid.org/0000-0003-3434-1893
  • Nidha Amalia Nurillah Department of Chemical Engineering, Faculty of Industrial Technology, Universitas Ahmad Dahlan, Yogyakarta, Indonesia
  • Evi Agustina Department of Chemical Engineering, Faculty of Industrial Technology, Universitas Ahmad Dahlan, Yogyakarta, Indonesia
  • Siwi Purwanti Department of Primary School Teacher Education, Faculty of Teacher Training and Education, Universitas Ahmad Dahlan, Yogyakarta, Indonesia
  • Meilya Suzan Triyastuti Department of Fishery Product Processing Techniques, Politeknik Kelautan dan Perikanan Bitung, Bitung, Indonesia

DOI:

https://doi.org/10.21776/ub.rbaet.2023.007.02.05

Keywords:

anaerobic digestion, kinetic, methane, rice husk

Abstract

A study of three kinetic models for predicting methane yield was performed. The selected models for predicting methane yield were first-order, modified Gompertz and Monod models. Anaerobic digestion of rice husk was simulated using the selected models.  A comparative evaluation of the models was undertaken to determine the best-fit model. All models obtained an accuracy of predicted methane yield of over 0.9. The prediction of methane yield on rice husk has the most accurate model being the modified Gompertz with the least deviation of 7.37% and the least accurate model being the Monod model with the highest deviation of 20.39%. 

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Published

2023-10-31

How to Cite

Shitophyta, L. M., Nurillah, N. A., Agustina, E., Purwanti, S., & Triyastuti, M. S. (2023). Kinetic Analysis of Anaerobic Digestion of Rice Husk for Prediction of Methane Yield: Analisis Kinetika Pencernaan Anaerobik Sekam Padi untuk Prediksi Hasil Metana. Jurnal Rekayasa Bahan Alam Dan Energi Berkelanjutan, 7(2), 33–38. https://doi.org/10.21776/ub.rbaet.2023.007.02.05

Issue

Vol. 7 No. 2 (2023)

Section

Articles

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