A semi-empirical approach towards predicting producer gas composition in biomass gasification.

Biomass Gases / chemistry Thermodynamics Water / chemistry
Biomass feedstock Correlations Equilibrium model Gasification Producer gas

Journal

Bioresource technology
ISSN: 1873-2976
Titre abrégé: Bioresour Technol
Pays: England
ID NLM: 9889523

Informations de publication

Date de publication:
Jan 2019
Historique:
received: 14 09 2018
revised: 25 10 2018
accepted: 26 10 2018
pubmed: 6 11 2018
medline: 30 7 2019
entrez: 5 11 2018
Statut: ppublish

Résumé

The paper provides a comparison of five distinct models, often used in thermodynamic equilibrium modeling that allows the study of feedstock effect on gasification process. The five models were thus formulated and solved using MATLAB software. The results were compared with published experimental data. The model based on equilibrium constant derived using methane formation reaction and water gas shift reaction showed comparatively better performance. Once the model was selected, the response surface analysis was employed to predict the parameters, such as reactor temperature and feedstock moisture content, for a maximum heating value of the producer gas. Simulations were performed for 50 different biomass feedstocks and simplified correlations were developed from simulated producer gas composition using multiple linear regression. These correlations may be suited for the quick comparison of different feedstocks in gasification process.

Identifiants

DOI: 10.1016/j.biortech.2018.10.073 PMID: 30391847
pubmed: 30391847
pii: S0960-8524(18)31505-0
doi: 10.1016/j.biortech.2018.10.073
pii:
doi:

Substances chimiques

Gases 0
Water 059QF0KO0R

Types de publication

Journal Article

Langues

eng

Pagination

535-544

Informations de copyright

Copyright © 2018 Elsevier Ltd. All rights reserved.

Auteurs

Priyabrata Pradhan (P)

Centre for Technology Alternatives for Rural Areas, Indian Institute of Technology Bombay, Mumbai 400076, India. Electronic address: ppradhan@iitb.ac.in.

Amit Arora (A)

Centre for Technology Alternatives for Rural Areas, Indian Institute of Technology Bombay, Mumbai 400076, India. Electronic address: aarora@iitb.ac.in.

Sanjay M Mahajani (SM)

Chemical Engineering Department, Indian Institute of Technology Bombay, Mumbai 400076, India. Electronic address: sanjaym@iitb.ac.in.

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Classifications MeSH

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