Computational Prediction of Minimum Ignition Energy for Hydrogen and Mixed Fuel Systems at Elevated Pressures

About the project

About the Project Hydrogen is central to global decarbonisation plans, with demand projected to grow substantially as industries move away from fossil fuels. However, hydrogen's exceptionally low minimum ignition energy (MIE), around 0.02 mJ, roughly 15 times lower than methane, creates serious safety challenges for its storage, transport, and industrial use at elevated pressures and temperatures. Combined with hydrogen's wide flammability limits and high diffusivity, this makes accurate prediction of ignition risk essential for safe infrastructure design, yet experimental characterisation across the full range of industrially relevant conditions is costly, time-consuming, and hazardous. This project will develop and validate a computational framework for predicting the minimum ignition energy of hydrogen and hydrogen-methane fuel blends under elevated pressure (up to 30 bar) and temperature (up to 600 K) conditions, extending methodologies previously validated for hydrocarbon fuels. Using the reactingFOAM solver, the project will implement an ignition power density approach (Paleli Vasudevan and Muppala, 2024; Paleli Vasudevan et al., 2025), in which a volumetric heat source is applied to a spherical kernel and systematically varied to identify the minimum energy required for sustained flame propagation. Both single-step and three-step hydrogen reaction mechanisms (Li et al., 2004) will be evaluated to determine the balance between computational efficiency and chemical accuracy required for reliable MIE prediction. The framework will be validated against published experimental data at atmospheric conditions (Paleli Vasudevan and Muppala, 2024; Paleli Vasudevan et al., 2025) before being extended across a systematic parametric study covering equivalence ratio, pressure, and temperature. The project will then extend the computational framework to hydrogen-methane blends spanning 10-90% hydrogen content, examining how blend composition affects ignition characteristics (Muppala et al., 2009) and developing correlations relevant to existing natural gas pipeline infrastructure. Later stages of the project will develop engineering correlations and a user-friendly computational tool for MIE prediction, alongside sensitivity and cross-validation studies of the methane-hydrogen correlations against the pressure and temperature datasets generated earlier in the project (Paleli Vasudevan et al., 2025). Key research questions include: how do elevated pressure and temperature affect the MIE of lean hydrogen/air mixtures; what modifications to established ignition power density methodologies are needed to accurately capture hydrogen's fast kinetics and low activation energy; can single-step mechanisms provide sufficient accuracy for engineering purposes, or are three-step mechanisms necessary; and how do hydrogen-methane blends affect ignition energy relative to pure hydrogen across a range of blending ratios relevant to pipeline transport? The project offers a structured three-year programme: Year 1 focuses on establishing and validating the computational framework against atmospheric-pressure literature data and extending it to elevated pressures; Year 2 extends the framework to industrially relevant pressures and temperatures and to hydrogen-methane blends; and Year 3 focuses on industrial application studies, development of a practical computational tool, and safety assessment methodologies, culminating in thesis completion and dissemination of results. The successful candidate will gain expertise in computational fluid dynamics, reacting flow simulation, chemical kinetics, and hydrogen safety engineering, working with an established validation framework and access to high-performance computational resources. The research addresses a critical and timely knowledge gap in hydrogen safety science, and the resulting validated computational tools will directly support the safe design of hydrogen storage, transport, and industrial application infrastructure as the global hydrogen economy expands. Findings are expected to be of direct interest to industry stakeholders involved in hydrogen infrastructure design, safety regulation, and risk assessment, and will be disseminated through publication in leading combustion and safety journals.

Research areas