A simplified model to simulate bioaugmented anaerobic digestion of lignocellulosic biomass: Biogas production efficiency related to microbiological data.

Anaerobiosis Archaea / metabolism Biofuels Biomass Cellulose / metabolism Lignin / metabolism
Anaerobic ruminal fungi Bioaugmentation Fermenting bacteria Lignocellulosic substrate Mathematical modeling

Journal

The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500

Informations de publication

Date de publication:
15 Nov 2019
Historique:
received: 23 03 2019
revised: 02 07 2019
accepted: 03 07 2019
pubmed: 22 7 2019
medline: 20 9 2019
entrez: 22 7 2019
Statut: ppublish

Résumé

Mathematical model applications for the bioaugmented anaerobic digestion (BAD) process seem to be lacking in the scientific literature, even more so when related to microbiological data. The present study suggests a simplified mathematical model to investigate and simulate the process kinetics of bioaugmented anaerobic digestion (BAD) aimed at improving biogas production from wheat straw (WS). Bioaugmented conditions were obtained through a mixed inoculum of anaerobic ruminal fungi (ARF) and hydrogen-producing fermenting bacteria (F210) added to a methanogenic inoculum. The investigation focused on two process configurations characterized by a mono (I-BAD) and two-stage (II-BAD) process and a conventional anaerobic digestion (AD) control test. Each configuration was used on two operating scales (i.e., 120 ml and 12,000 ml reactor volume) to provide different data sets for the calibration and validation of the mathematical model proposed. The model calibration step was used to determine the optimal values of selected parameters displaying higher significance for experimental result predictability. The model calibration results highlighted a similar behavior for both BAD tests, which was further strengthened by a statistical analysis supporting the observed correlation regardless of the BAD configuration involved. The BAD configuration always enhanced the CH

Identifiants

DOI: 10.1016/j.scitotenv.2019.07.051 PMID: 31326812
pubmed: 31326812
pii: S0048-9697(19)33164-X
doi: 10.1016/j.scitotenv.2019.07.051
pii:
doi:

Substances chimiques

Biofuels 0
Cellulose 9004-34-6
Lignin 9005-53-2

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

885-895

Informations de copyright

Copyright © 2019 Elsevier B.V. All rights reserved.

Auteurs

Alberto Ferraro (A)

Department of Civil, Architectural and Environmental Engineering, University of Naples "Federico II", Via Claudio 21, 80125 Naples, Italy. Electronic address: alberto.ferraro3@gmail.com.

Giulia Massini (G)

Department of Energy Technologies, Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Via Anguillarese 301, 00123 Rome, Italy.

Valentina Mazzurco Miritana (V)

Department of Energy Technologies, Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Via Anguillarese 301, 00123 Rome, Italy.

Antonella Signorini (A)

Department of Energy Technologies, Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Via Anguillarese 301, 00123 Rome, Italy.

Marco Race (M)

Department of Civil and Mechanical Engineering, University of Cassino and Southern Lazio, Via di Biasio 43, 03043 Cassino, Italy.

Massimiliano Fabbricino (M)

Department of Civil, Architectural and Environmental Engineering, University of Naples "Federico II", Via Claudio 21, 80125 Naples, Italy.

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Classifications MeSH

questionsmedicales.fr › Métabolisme › Anaérobiose › A simplified model to simulate bioaugmented...
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questionsmedicales.fr › Environnement et santé publique › Environnement › Ressources de production d'énergie › Énergie renouvelable › Biocarburants › A simplified model to simulate bioaugmented...
questionsmedicales.fr › Environnement et santé publique › Environnement › Écosystème › Biomasse › A simplified model to simulate bioaugmented...
questionsmedicales.fr › Technologie, industrie et agriculture › Produits manufacturés › Matériaux biomédicaux et dentaires › Polymères › Biopolymères › Cellulose › A simplified model to simulate bioaugmented...
questionsmedicales.fr › Technologie, industrie et agriculture › Produits manufacturés › Matériaux biomédicaux et dentaires › Polymères › Biopolymères › Lignine › A simplified model to simulate bioaugmented...