Pretreatment and Multi-Feed Anaerobic Co-digestion of Agro-Industrial Residual Biomass for Improved Biomethanation and Kinetic Analysis

Batch biochemical methane potential (BMP) test of agro-industrial, agricultural, and municipal solid waste (MSW) individuals like groundnut straw, rice bran, and guar husk, mung bean husk (MBH), wheat straw (WS), and organic fraction of municipal solid waste (OFMSW), under mesophilic conditions, wer...

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Main Authors: Kishan Kumar Prajapati, Nidhi Pareek, Vivekanand Vivekanand
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-10-01
Series:Frontiers in Energy Research
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fenrg.2018.00111/full
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author Kishan Kumar Prajapati
Nidhi Pareek
Vivekanand Vivekanand
author_facet Kishan Kumar Prajapati
Nidhi Pareek
Vivekanand Vivekanand
author_sort Kishan Kumar Prajapati
collection DOAJ
description Batch biochemical methane potential (BMP) test of agro-industrial, agricultural, and municipal solid waste (MSW) individuals like groundnut straw, rice bran, and guar husk, mung bean husk (MBH), wheat straw (WS), and organic fraction of municipal solid waste (OFMSW), under mesophilic conditions, were performed to evaluate the biogas potential. BMP test for multi-feed anaerobic co-digestion (AcoD) of WS, OFMSW, and MBH at five mixing ratio was performed to evaluate the synergistic effect of multi feed-stocks of blending the feedstocks. Mixture ratio having OFMSW:WS:MBH of 25:5:70% composition resulted into 37, 20, and 4% higher methane yield up to 280 ml/g Volatile solid (VS) in comparison with mono-digestion of OFMSW, WS and MBH. Ultrasonic pretreatment was also performed and the experimental results showed that varying the sonication time have a significant improvement on substrate's biodegradation and solubilization augmenting the methane yield from OFMSW, WS, and MBH by 71, 75, and 46%, respectively at sonication period of 60 min. Effect of pretreatment on the substrate studied through Scanning electron microscopy (SEM), XRD and FT-IR analysis. Cone and Exponential models showed an average coefficient of determination R2 = 0.9855 and R2 = 0.9893, respectively, and RMSE values for cone model was lower than that of Exponential model showing Cone model was more précised.
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spelling doaj.art-222c9be1f4c64e3d97ff819383223e7d2022-12-22T02:19:59ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2018-10-01610.3389/fenrg.2018.00111411598Pretreatment and Multi-Feed Anaerobic Co-digestion of Agro-Industrial Residual Biomass for Improved Biomethanation and Kinetic AnalysisKishan Kumar Prajapati0Nidhi Pareek1Vivekanand Vivekanand2Centre for Energy and Environment, Malaviya National Institute of Technology, Jaipur, IndiaDepartment of Microbiology, School of Life Sciences, Central University of Rajasthan Bandarsindri, Kishangarh, IndiaCentre for Energy and Environment, Malaviya National Institute of Technology, Jaipur, IndiaBatch biochemical methane potential (BMP) test of agro-industrial, agricultural, and municipal solid waste (MSW) individuals like groundnut straw, rice bran, and guar husk, mung bean husk (MBH), wheat straw (WS), and organic fraction of municipal solid waste (OFMSW), under mesophilic conditions, were performed to evaluate the biogas potential. BMP test for multi-feed anaerobic co-digestion (AcoD) of WS, OFMSW, and MBH at five mixing ratio was performed to evaluate the synergistic effect of multi feed-stocks of blending the feedstocks. Mixture ratio having OFMSW:WS:MBH of 25:5:70% composition resulted into 37, 20, and 4% higher methane yield up to 280 ml/g Volatile solid (VS) in comparison with mono-digestion of OFMSW, WS and MBH. Ultrasonic pretreatment was also performed and the experimental results showed that varying the sonication time have a significant improvement on substrate's biodegradation and solubilization augmenting the methane yield from OFMSW, WS, and MBH by 71, 75, and 46%, respectively at sonication period of 60 min. Effect of pretreatment on the substrate studied through Scanning electron microscopy (SEM), XRD and FT-IR analysis. Cone and Exponential models showed an average coefficient of determination R2 = 0.9855 and R2 = 0.9893, respectively, and RMSE values for cone model was lower than that of Exponential model showing Cone model was more précised.https://www.frontiersin.org/article/10.3389/fenrg.2018.00111/fullagricultural wasteagro-industrial wasteorganic fraction of municipal solid wasteanaerobic digestionultrasonic pretreatmentkinetics
spellingShingle Kishan Kumar Prajapati
Nidhi Pareek
Vivekanand Vivekanand
Pretreatment and Multi-Feed Anaerobic Co-digestion of Agro-Industrial Residual Biomass for Improved Biomethanation and Kinetic Analysis
Frontiers in Energy Research
agricultural waste
agro-industrial waste
organic fraction of municipal solid waste
anaerobic digestion
ultrasonic pretreatment
kinetics
title Pretreatment and Multi-Feed Anaerobic Co-digestion of Agro-Industrial Residual Biomass for Improved Biomethanation and Kinetic Analysis
title_full Pretreatment and Multi-Feed Anaerobic Co-digestion of Agro-Industrial Residual Biomass for Improved Biomethanation and Kinetic Analysis
title_fullStr Pretreatment and Multi-Feed Anaerobic Co-digestion of Agro-Industrial Residual Biomass for Improved Biomethanation and Kinetic Analysis
title_full_unstemmed Pretreatment and Multi-Feed Anaerobic Co-digestion of Agro-Industrial Residual Biomass for Improved Biomethanation and Kinetic Analysis
title_short Pretreatment and Multi-Feed Anaerobic Co-digestion of Agro-Industrial Residual Biomass for Improved Biomethanation and Kinetic Analysis
title_sort pretreatment and multi feed anaerobic co digestion of agro industrial residual biomass for improved biomethanation and kinetic analysis
topic agricultural waste
agro-industrial waste
organic fraction of municipal solid waste
anaerobic digestion
ultrasonic pretreatment
kinetics
url https://www.frontiersin.org/article/10.3389/fenrg.2018.00111/full
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AT nidhipareek pretreatmentandmultifeedanaerobiccodigestionofagroindustrialresidualbiomassforimprovedbiomethanationandkineticanalysis
AT vivekanandvivekanand pretreatmentandmultifeedanaerobiccodigestionofagroindustrialresidualbiomassforimprovedbiomethanationandkineticanalysis