The University of Southampton
University of Southampton Institutional Repository

CFD modelling of the co-gasification of biomass and coal particles in fluidised beds

CFD modelling of the co-gasification of biomass and coal particles in fluidised beds
CFD modelling of the co-gasification of biomass and coal particles in fluidised beds
The rapid depletion of oil and the environmental impact of combustion has motivated the search for clean combustion technologies. Fluidised bed technology (FBT) works by suspending a fuel over a fast air inlet whilst sustaining the required temperatures. Using biomass or a mixture of coal/biomass as the fuel, FBC provides a low-carbon combustion technology whilst operating at low temperatures. Computational modelling has shown great advancement in its predictive capability and reliability over recent years. Two-fluid modelling (TFM) has become a viable tool for the modelling of the hydrodynamic and heat transfer processes in fluidised beds yet the inclusion of reaction kinetics is still in the early stages due to their complexity. Such reaction kinetics need to be implemented by means of a user defined function (UDF) into the commercial software ANSYS 12.0 as current built in models are not available. In this paper, two-fluid modelling is used to model a bubbling fluidised bed gasifier (BFBG) using four solid phases namely, biomass, coal and two types of char. The devolatilisation model and heterogeneous reactions are implemented and the simulated gases produced are compared to experimental results from the literature
Armstrong, L.M.
db493663-2457-4f84-9646-15538c653998
Gu, S.
a6f7af91-4731-46fe-ac4d-3081890ab704
Luo, K.H.
1c9be6c6-e956-4b12-af13-32ea855c69f3
Armstrong, L.M.
db493663-2457-4f84-9646-15538c653998
Gu, S.
a6f7af91-4731-46fe-ac4d-3081890ab704
Luo, K.H.
1c9be6c6-e956-4b12-af13-32ea855c69f3

Armstrong, L.M., Gu, S. and Luo, K.H. (2010) CFD modelling of the co-gasification of biomass and coal particles in fluidised beds. Bioten Conference, Birmingham, United Kingdom. 20 - 22 Sep 2010. 15 pp .

Record type: Conference or Workshop Item (Paper)

Abstract

The rapid depletion of oil and the environmental impact of combustion has motivated the search for clean combustion technologies. Fluidised bed technology (FBT) works by suspending a fuel over a fast air inlet whilst sustaining the required temperatures. Using biomass or a mixture of coal/biomass as the fuel, FBC provides a low-carbon combustion technology whilst operating at low temperatures. Computational modelling has shown great advancement in its predictive capability and reliability over recent years. Two-fluid modelling (TFM) has become a viable tool for the modelling of the hydrodynamic and heat transfer processes in fluidised beds yet the inclusion of reaction kinetics is still in the early stages due to their complexity. Such reaction kinetics need to be implemented by means of a user defined function (UDF) into the commercial software ANSYS 12.0 as current built in models are not available. In this paper, two-fluid modelling is used to model a bubbling fluidised bed gasifier (BFBG) using four solid phases namely, biomass, coal and two types of char. The devolatilisation model and heterogeneous reactions are implemented and the simulated gases produced are compared to experimental results from the literature

Text
Bioten_Paper_final.docx - Other
Restricted to Registered users only
Download (828kB)
Request a copy

More information

Published date: 21 September 2010
Venue - Dates: Bioten Conference, Birmingham, United Kingdom, 2010-09-20 - 2010-09-22
Related URLs:

Identifiers

Local EPrints ID: 165823
URI: http://eprints.soton.ac.uk/id/eprint/165823
PURE UUID: 72b84d81-d5b8-4115-aff1-88c2d16176d6

Catalogue record

Date deposited: 09 Nov 2010 08:33
Last modified: 17 Sep 2020 16:39

Export record

Contributors

Author: L.M. Armstrong
Author: S. Gu
Author: K.H. Luo

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×