Technical Papers
Nov 10, 2022

Enhanced Biogas Production from Pine Litter Codigestion with Food Waste, Microbial Community, Kinetics, and Technoeconomic Feasibility

Publication: Journal of Environmental Engineering
Volume 149, Issue 1

Abstract

In this study, a noteworthy increase in biogas generation from pine litter was achieved by codigesting it with food waste. Within the microbial communities present, a high level of species richness as well as diversity was observed among bacterial decomposers. Bacteroides dominated the population at 32.9%, with phylum Proteobacteria being the second at 27.4%. Further, bacteria belonging to the family Comamonadaceae, whose niche as lignin degraders has recently been acknowledged, were present. The sample additionally appeared enriched with acetogens, syntrophic acetogens, and methanogens, indicating probable replacement of communities with metabolic capabilities adapted to the particular stage of decomposition. Anaerobic digestibility of the process was also studied with the help of one kinetic and three mathematical models. Technoeconomic and sensitivity analysis of the process showed the process was feasible. The process will seek the attention of stakeholders and policymakers due to profitability while transferring the technology from lab to the pilot scale.

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Data Availability Statement

Some data, models, or code generated or used during the study are available from the corresponding author by request. These include the experimental data related to the feeding, daily biogas generation, temperature, and stability; details of the four models used in the analysis; and the experimental data related to the microbial population structure.

Acknowledgments

The authors would like to thank Jaypee University of Information Technology, Waknaghat, Solan, HP for technical support. A part of the research was also supported by the National Science Foundation in the form of the BuG ReMeDEE initiative (Award No. 1736255).

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Journal of Environmental Engineering
Volume 149Issue 1January 2023

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Received: May 9, 2022
Accepted: Aug 24, 2022
Published online: Nov 10, 2022
Published in print: Jan 1, 2023
Discussion open until: Apr 10, 2023

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Assistant Professor, School of Engineering & Technology, Chitkara Univ., Himachal Pradesh 174103, India (corresponding author). ORCID: https://orcid.org/0000-0001-6202-6714. Email: [email protected]
Ashish Kumar
Professor, Dept. of Civil Engineering, Jaypee Univ. of Information Technology, Waknaghat, Solan, Himachal Pradesh 173234, India.
Sudhir Kumar
Professor, Dept. of Biotechnology and Bioinformatics, Jaypee Univ. of Information Technology, Waknaghat, Solan, Himachal Pradesh 173234, India.
Tanvi Govil
Research Scientist, Dept. of Chemical and Biological Engineering, South Dakota School of Mines and Technology, Rapid City, SD 57701.
Professor, Dept. of Chemical and Biological Engineering, South Dakota School of Mines and Technology, Rapid City, SD 57701. ORCID: https://orcid.org/0000-0002-5493-252X

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