Investigation of syngas combustion at variable methane composition in can combustor using CFD
This paper describes the analysis of the fundamental effect of synthetic gas combustion in a can-type combustor using Computational Fluid Dynamic(CFD). Emphasis is given towards the effect of variation of methane to the flame profile, temperature distribution and heat flux in the combustor. In this...
Saved in:
Main Authors: | , , |
---|---|
Other Authors: | |
Format: | Conference Paper |
Published: |
Trans Tech Publications Ltd
2023
|
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Universiti Tenaga Nasional |
id |
my.uniten.dspace-22038 |
---|---|
record_format |
dspace |
spelling |
my.uniten.dspace-220382023-05-16T10:46:51Z Investigation of syngas combustion at variable methane composition in can combustor using CFD Zian N.M. Hasini H. Om N.I. 56352636600 6507435998 42162023000 This paper describes the analysis of the fundamental effect of synthetic gas combustion in a can-type combustor using Computational Fluid Dynamic(CFD). Emphasis is given towards the effect of variation of methane to the flame profile, temperature distribution and heat flux in the combustor. In this study, the composition of hydrogen in the syngas was fixed at 30% while methane and carbon monoxide were varied. Results show that the flame temperature and NOx emissions are highly dependent on the composition of methane in the syngas fuel. Nevertheless, the overall NOx emission for all cases is relatively lower than the conventional pure natural gas combustion. © (2014) Trans Tech Publications, Switzerland. Final 2023-05-16T02:46:51Z 2023-05-16T02:46:51Z 2014 Conference Paper 10.4028/www.scientific.net/AMR.1016.592 2-s2.0-84906991106 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906991106&doi=10.4028%2fwww.scientific.net%2fAMR.1016.592&partnerID=40&md5=fd1a4dfdde832efa116da671865cd469 https://irepository.uniten.edu.my/handle/123456789/22038 1016 592 596 Trans Tech Publications Ltd Scopus |
institution |
Universiti Tenaga Nasional |
building |
UNITEN Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Tenaga Nasional |
content_source |
UNITEN Institutional Repository |
url_provider |
http://dspace.uniten.edu.my/ |
description |
This paper describes the analysis of the fundamental effect of synthetic gas combustion in a can-type combustor using Computational Fluid Dynamic(CFD). Emphasis is given towards the effect of variation of methane to the flame profile, temperature distribution and heat flux in the combustor. In this study, the composition of hydrogen in the syngas was fixed at 30% while methane and carbon monoxide were varied. Results show that the flame temperature and NOx emissions are highly dependent on the composition of methane in the syngas fuel. Nevertheless, the overall NOx emission for all cases is relatively lower than the conventional pure natural gas combustion. © (2014) Trans Tech Publications, Switzerland. |
author2 |
56352636600 |
author_facet |
56352636600 Zian N.M. Hasini H. Om N.I. |
format |
Conference Paper |
author |
Zian N.M. Hasini H. Om N.I. |
spellingShingle |
Zian N.M. Hasini H. Om N.I. Investigation of syngas combustion at variable methane composition in can combustor using CFD |
author_sort |
Zian N.M. |
title |
Investigation of syngas combustion at variable methane composition in can combustor using CFD |
title_short |
Investigation of syngas combustion at variable methane composition in can combustor using CFD |
title_full |
Investigation of syngas combustion at variable methane composition in can combustor using CFD |
title_fullStr |
Investigation of syngas combustion at variable methane composition in can combustor using CFD |
title_full_unstemmed |
Investigation of syngas combustion at variable methane composition in can combustor using CFD |
title_sort |
investigation of syngas combustion at variable methane composition in can combustor using cfd |
publisher |
Trans Tech Publications Ltd |
publishDate |
2023 |
_version_ |
1806428426602545152 |