Optimization of Anaerobic Co-Digestion of Canna Indica Rhizome and Cow Manure

This study investigates the potential of Canna indica rhizome as a promising substrate for biogas production through anaerobic co-digestion with cow manure. Experimental results demonstrate that a 50:50 mixture of Canna indica rhizome and cow manure optimizes biogas yield, achieving a methane content of 64.48%. This synergistic effect is attributed to the complementary chemical composition of the substrates.To provide an initial estimate of biogas production, an existing mathematical model was adapted without significant modifications. Despite its original design for different substrates, the model exhibited satisfactory performance in predicting biogas production trends, highlighting the general applicability of its underlying principles to this specific co-digestion system.

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Publication Details

Journal
International Journal of Progressive Sciences and Technologies
Published
2024-09-30
DOI
https://doi.org/10.52155/ijpsat.v46.2.6594
Primary Topic
Biofuel production and bioconversion
Type
article
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article

Optimization of Anaerobic Co-Digestion of Canna Indica Rhizome and Cow Manure

Zely Arivelo Randriamanantany, Eulalie Odilette Rafanjanirina, Danni Fernando ROVANIAINA
International Journal of Progressive Sciences and Technologies
Biofuel production and bioconversion
article

Optimization of Anaerobic Co-Digestion of Canna Indica Rhizome and Cow Manure

Zely Arivelo Randriamanantany, Eulalie Odilette Rafanjanirina, Danni Fernando ROVANIAINA
article en

Abstract

This study investigates the potential of Canna indica rhizome as a promising substrate for biogas production through anaerobic co-digestion with cow manure. Experimental results demonstrate that a 50:50 mixture of Canna indica rhizome and cow manure optimizes biogas yield, achieving a methane content of 64.48%. This synergistic effect is attributed to the complementary chemical composition of the substrates.To provide an initial estimate of biogas production, an existing mathematical model was adapted without significant modifications. Despite its original design for different substrates, the model exhibited satisfactory performance in predicting biogas production trends, highlighting the general applicability of its underlying principles to this specific co-digestion system.

International Journal of Progressive Sciences and TechnologiesVol. 46(2)
University of Antananarivo (MG)
Openalex Percentile: Top 79%
Biofuel production and bioconversion
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