Loughborough University
Browse

Numerical modelling of non-premixed hydrogen blended combustion in a 3D-combustor with jet optimisation

Download (4.75 MB)
journal contribution
posted on 2025-05-22, 14:52 authored by Michael OkoloMichael Okolo, David S Adebayo, Chike F Oduoza

The use of modular combustion systems with multiple jets has gained attention as an efficient and reliable solution for combined heat and power (CHP) applications to enhance the transition to clean and renewable energy for power generation, thereby meeting the United Nations' Sustainable Development Goal (SDG) 7 in addressing climate change challenges. In this study, the performance of a 3D combustor with multiple jets has been modelled numerically and analysed using the computational fluid dynamics (CFD) technique. The efficiency of the combustor is evaluated under varying operational and geometrical conditions such as fuel flow rate, jet number, and hydrogen concentration in the fuel mixture. The investigation results showed that the combustor jet has an optimum operational value for increased efficiency at 16 jets, further indicating the impact of jet number on fuel resident time and mixture in the combustion chamber. In contrast, lower jet numbers resulted in inefficient combustion. The results also revealed that the operation of the combustor should be limited to lower fuel velocities to maintain efficient combustion. The findings of this study provide useful insights for the improvement of modular combustion systems for clean energy production.

Funding

Commonwealth Shared Scholarship (NGSS-2021-507)

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

Reaction Chemistry & Engineering

Volume

10

Issue

5

Pages

1114 - 1130

Publisher

Royal Society of Chemistry (RSC)

Version

  • VoR (Version of Record)

Rights holder

©The Author(s)

Publisher statement

This article is licensed under a Creative Commons Attribution-Non Commercial 3.0 Unported Licence.

Acceptance date

2025-02-05

Publication date

2025-02-18

Copyright date

2025

eISSN

2058-9883

Language

  • en

Depositor

Mr Michael Okolo. Deposit date: 22 February 2025

Usage metrics

    Loughborough Publications

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC