Datasets for high hydrogen content syngas fuel variability effect on combustion physicochemical properties

Area of Science:

• Combustion Science
• Chemical Engineering
• Computational Fluid Dynamics

Background:

• Fuel variability significantly influences combustion properties, particularly for high hydrogen content syngas.
• Accurate quantification of these effects is crucial for designing efficient and safe combustion systems.
• Existing datasets may not fully capture the complex interplay between fuel composition and combustion characteristics.

Purpose of the Study:

• To present a novel dataset for uncertainty quantification (UQ) of fuel variability effects on high hydrogen syngas combustion.
• To analyze the sensitivity of 1D premixed flame properties to fuel composition uncertainties.
• To provide a resource for further research in turbulent combustion simulations.

Main Methods:

• Utilized the PREMIX module within Chemkin-Pro for 1D flame simulations.
• Employed the UQTk-3.0.4 open-access toolkit for data generation, post-processing, and uncertainty quantification.
• Calculated flame speed, temperature, and NO emissions using three detailed chemical mechanisms: GRI-Mech 3.0, San Diego, and NUI Galway Mechanism.

Main Results:

• Quantified main and joint sensitivity effects (Sobol Indices) of fuel uncertainty on physicochemical properties.
• Explored the resulting probability density functions and fluctuations of combustion properties.
• Established a comprehensive dataset detailing the impact of fuel variability.

Conclusions:

• The generated dataset enables detailed analysis of fuel variability effects on critical combustion parameters.
• This resource supports advanced studies on turbulent combustion, including flame thickness and Karlovitz number.
• The findings contribute to a better understanding of syngas combustion under uncertain fuel conditions.