Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 1114-1130 |
| Number of pages | 17 |
| Journal | Reaction Chemistry & Engineering |
| Volume | 10 |
| Early online date | 18 Feb 2025 |
| DOIs | |
| Publication status | Published - 18 Feb 2025 |
Bibliographical note
This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence (https://creativecommons.org/licenses/by-nc/3.0/).Data Access Statement
All data used in this study have been generated from ANSYS Fluent Software for modelling the combustion process in the designed model.Funding
The authors would like to thank the University of Wolverhampton's Faculty of Engineering, School of Engineering, Computing and Mathematical Sciences and the Centre for Engineering Innovation and Research (CEIR) for providing the computing resources for the study. M. E. O. acknowledges support from Commonwealth Scholarship Commission (CSC) under the Commonwealth Shared Scholarship (NGSS-2021-507).