Funded PhD Project (UK Students Only)
About the Project
The global transition toward a low-carbon economy requires immediate, scalable solutions for industrial power generation. Carbon-free ammonia (NH3) and hydrogen (H2) have emerged as essential fuels; however, their combustion characteristics present significant challenges. Pure ammonia suffers from low reactivity and complex nitrogen oxide (NOx) formation. While blending ammonia with hydrogen can improve performance, current industrial simulation tools lack the precision and efficiency required to capture these intricate chemical-turbulent interactions.
This project aims to redefine how carbon-free combustion is modelled, developing the high-fidelity computational tools necessary for designing the next generation of net-zero power systems.
The research will follow a multi-stage approach, moving from fundamental physics to industrial application: High-fidelity 'first principles’ simulations: Utilising High-Performance Computing (HPC) resources, you will perform Direct Numerical Simulations (DNS) to capture the microscopic details of NH3 and NH3/H2 flames. This phase generates the "gold standard" data required for model development. Data-driven model development: You will analyse these high-fidelity datasets using a blend of classic physics-based theories and modern Machine Learning (ML) techniques.
The goal is to isolate controlling parameters and create compact, predictive models that remain computationally efficient. Implementation in industrial CFD: The developed models will be implemented into Large Eddy Simulation (LES) frameworks. This bridges the gap between fundamental research and engineering practice, allowing for "a-posteriori" validation against your original DNS data. Real-world application:
Finally, the validated methodology will be applied to realistic industrial burner geometries. You will compare your computational results against experimental data from the literature to prove the model's efficacy in solving real-world decarbonisation problems.
94% of Loughborough’s research impact is rated world-leading or internationally excellent. REF 2021
Supervisors
- Primary Supervisor: Dr Thomas Howarth
- Secondary Supervisor: Dr Andrew Garmory
Entry requirements
We are seeking curious and driven candidates with a strong analytical background. Academic Background: A minimum of a 2:1 (or equivalent) in a quantitative field such as Engineering, Physics, Applied Mathematics, or Computer Science.
Technical Interest: A keen interest in Fluid Dynamics, Thermodynamics, or Computational Methods. Programming Skills: Experience in any programming language is highly desirable (e.g., C++, Python, or Fortran), as the project involves working with sophisticated codebases and data analysis tools.
English language requirements
Applicants must meet the minimum English language requirements. Further details are available on the International website.
Fees and funding
The studentship (Desmond Penrose Fund) is for 3 years and provides a tax-free stipend of £21,805 per annum for the duration of the studentship plus university tuition fees. Due to funding restrictions, this is only available to those eligible for UK fees.
How to apply
All applications should be made online. Under Campus, please select "Loughborough" and select Programme "Aeronautical Engineering Ph.D. (Full Time)".
Please quote the advertised reference number AAE-TH-2612 in your application. To avoid delays in processing your application, please ensure that you submit the minimum supporting documents. The following selection criteria will be used by academic schools to help them make a decision on your application.
