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Biogas Production from Water Hyacinth and Cow dung

Authors: Kasulla, Srinivas; S J Malik; Gaurav Kathpal; Yadav, Anjani;

Biogas Production from Water Hyacinth and Cow dung

Abstract

In the quest for sustainable and eco-friendly energy solutions, renewable energy biogas technology stands out as a promising option, offering zero-waste energy generation. River water hyacinths, known for their rapid and abundant growth, hold great potential in this domain. Rich in cellulose, nitrogen, essential nutrients, and fermentable components, water hyacinth leaves present an ideal source for biogas fuel production. Notably, their high hemicellulose content allows for efficient biogas generation. This study focuses on harnessing the biogas potential of water hyacinths readily available in river ecosystems. The experimental setup involved employing water hyacinth, cow dung, and water at various ratios using the batch-fermentation technique. Daily monitoring of biogas production was conducted throughout the 60-day degradation process until the desired gas production levels were achieved, alongside effective degradation of the biomass. An essential factor explored in this study was the Carbon-to-Nitrogen (C/N) ratio, recognized as a critical determinant for successful biogas production. The research findings revealed that a C/N ratio of 30.75 proved to be optimal for this specific experiment. This research contributes valuable insights into the potential of renewable biogas technology, highlighting the significance of utilizing water hyacinths as a viable and sustainable energy resource, while also offering a greener approach to address environmental challenges.

https://www.ijtsrd.com/other-scientific-research-area/enviormental-science/59703/biogas-production-from-water-hyacinth-and-cow-dung/srinivas-kasulla

Keywords

River, Energy, Waste, Water hyacinth, Biogas, C/N ratio

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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