The University of Southampton
University of Southampton Institutional Repository

Uncertainty quantification of the premixed combustion characteristics of NH3/H2/N2 fuel blends

Uncertainty quantification of the premixed combustion characteristics of NH3/H2/N2 fuel blends
Uncertainty quantification of the premixed combustion characteristics of NH3/H2/N2 fuel blends
Green ammonia is a candidate fuel to decarbonise shipping and other industries. However, ammonia features a lower reactivity compared to conventional fuels and is therefore difficult to burn. To resolve this issue, thermo-catalytic cracking of ammonia using waste heat is often employed to produce NH3/H2/N2 blends as fuel. However, on-site operational variations in this process can become sources of uncertainty in the fuel composition, causing randomness of the flame's physicochemical properties and challenging flame stability. In the present work, a surrogate model is built using the polynomial chaos expansion (PCE) method to investigate the impact of fuel composition variability on combustion characteristics at different operating conditions. Impacts of 1.5% deviation in the fuel composition on the flame properties for different initial pressures (Pi) and unburnt fuel temperatures (Tu) are investigated for a wide range of equivalence ratios covering lean and rich mixtures. The uncertainty effects defined by the coefficient of variation (COV) fluctuate for equivalence ratios greater than 1.1, while no fluctuation is observed in COV for near stoichiometric combustion conditions. It is shown that H2 variation in the fuel blend has the strongest effect (over 80%) on the uncertainty of all investigated physicochemical properties of the flame. The least affected property is the adiabatic flame temperature with variations of about 2.5% in richer fuel conditions. The results further show that preheating of the reactants can significantly reduce the COV of laminar flame speed. The consequences of these uncertainties upon different combustion technologies are then discussed and it is argued that moderate and intense low oxygen dilution (MILD) and colourless distributed combustion (CDC) technology may remain resilient.
0360-3199
14477-14491
Soyler, Israfil
01efbb3b-c011-4ca4-a2ac-389842de2cce
Zhang, Kai
39941934-ce71-4f5d-a641-176d0bdd0fdb
Duwig, Christophe
0bb2f995-3b21-43be-a5d8-3491351cf991
Jiang, Xi
6a11a125-2191-4ed9-9bb1-f96770174daf
Karimi, Nader
620646d6-27c9-4e1e-948f-f23e4a1e773a
Soyler, Israfil
01efbb3b-c011-4ca4-a2ac-389842de2cce
Zhang, Kai
39941934-ce71-4f5d-a641-176d0bdd0fdb
Duwig, Christophe
0bb2f995-3b21-43be-a5d8-3491351cf991
Jiang, Xi
6a11a125-2191-4ed9-9bb1-f96770174daf
Karimi, Nader
620646d6-27c9-4e1e-948f-f23e4a1e773a

Soyler, Israfil, Zhang, Kai, Duwig, Christophe, Jiang, Xi and Karimi, Nader (2023) Uncertainty quantification of the premixed combustion characteristics of NH3/H2/N2 fuel blends. International Journal of Hydrogen Energy, 48 (38), 14477-14491. (doi:10.1016/j.ijhydene.2022.12.303).

Record type: Article

Abstract

Green ammonia is a candidate fuel to decarbonise shipping and other industries. However, ammonia features a lower reactivity compared to conventional fuels and is therefore difficult to burn. To resolve this issue, thermo-catalytic cracking of ammonia using waste heat is often employed to produce NH3/H2/N2 blends as fuel. However, on-site operational variations in this process can become sources of uncertainty in the fuel composition, causing randomness of the flame's physicochemical properties and challenging flame stability. In the present work, a surrogate model is built using the polynomial chaos expansion (PCE) method to investigate the impact of fuel composition variability on combustion characteristics at different operating conditions. Impacts of 1.5% deviation in the fuel composition on the flame properties for different initial pressures (Pi) and unburnt fuel temperatures (Tu) are investigated for a wide range of equivalence ratios covering lean and rich mixtures. The uncertainty effects defined by the coefficient of variation (COV) fluctuate for equivalence ratios greater than 1.1, while no fluctuation is observed in COV for near stoichiometric combustion conditions. It is shown that H2 variation in the fuel blend has the strongest effect (over 80%) on the uncertainty of all investigated physicochemical properties of the flame. The least affected property is the adiabatic flame temperature with variations of about 2.5% in richer fuel conditions. The results further show that preheating of the reactants can significantly reduce the COV of laminar flame speed. The consequences of these uncertainties upon different combustion technologies are then discussed and it is argued that moderate and intense low oxygen dilution (MILD) and colourless distributed combustion (CDC) technology may remain resilient.

This record has no associated files available for download.

More information

Published date: 1 May 2023

Identifiers

Local EPrints ID: 509204
URI: http://eprints.soton.ac.uk/id/eprint/509204
ISSN: 0360-3199
PURE UUID: 68892dcd-1daf-4ffc-816c-8528ec31173b
ORCID for Nader Karimi: ORCID iD orcid.org/0000-0002-4559-6245

Catalogue record

Date deposited: 12 Feb 2026 17:53
Last modified: 13 Feb 2026 03:16

Export record

Altmetrics

Contributors

Author: Israfil Soyler
Author: Kai Zhang
Author: Christophe Duwig
Author: Xi Jiang
Author: Nader Karimi ORCID iD

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.

×