Model-to-model Bayesian calibration of a Chemical Reactor Network for pollutant emission predictions of an ammonia-fuelled multistage combustor
Abstract Low-fidelity, cost-effective, physics-based models are useful for assessing the
environmental performance of novel combustion systems, especially those utilizing …
environmental performance of novel combustion systems, especially those utilizing …
Deep-learning-based reduced-order modeling to optimize recuperative burner operating conditions
This study analyzed a recuperative burner system that is critical for energy efficiency and
pollutant reduction in the firing processes required in the manufacturing industries. We …
pollutant reduction in the firing processes required in the manufacturing industries. We …
[HTML][HTML] Bayesian inference and uncertainty quantification for hydrogen-enriched and lean-premixed combustion systems
Abstract Development of probabilistic modelling tools to perform Bayesian inference and
uncertainty quantification (UQ) is a challenging task for practical hydrogen-enriched and low …
uncertainty quantification (UQ) is a challenging task for practical hydrogen-enriched and low …
Uncertainty Quantification of NOx and CO Emissions in a Swirl-Stabilized Burner
S Yousefian, G Bourque… - … of Engineering for …, 2019 - asmedigitalcollection.asme.org
Uncertainty quantification (UQ) is becoming an essential attribute for development of
computational tools in gas turbine combustion systems. Prediction of emissions with a …
computational tools in gas turbine combustion systems. Prediction of emissions with a …
Effects of compositional uncertainties in cracked NH3/biosyngas fuel blends on the combustion characteristics and performance of a combined-cycle gas turbine: A …
Blending of partially cracked ammonia with biosyngas is an attractive strategy for improving
NH 3 combustion. In practice, products of biomass gasification and those of thermo-catalytic …
NH 3 combustion. In practice, products of biomass gasification and those of thermo-catalytic …
Combined effect of experimental and kinetic uncertainties on NO predictions in low-pressure premixed laminar H2/CH4/CO-air and H2/CH4/CO/C6H6-air flames
Accurate predictions of nitrogen oxides (NO x) are crucial for the design of low-emissions
combustion technologies and require a truthful description of chemical kinetics and …
combustion technologies and require a truthful description of chemical kinetics and …
A Stochastic and Bayesian Inference Toolchain for Uncertainty and Risk Quantification of Rare Autoignition Events in Dry Low-Emission Premixers
Quantification of aleatoric uncertainties due to the inherent variabilities in operating
conditions and fuel composition is essential for designing and improving premixers in dry …
conditions and fuel composition is essential for designing and improving premixers in dry …
Simultaneous state and parameter estimation method for a conventional ozonation system
This article presents a simultaneous state (via a nonlinear form of Luenberger observer) and
parameter (using a proportional–integral least mean square form) estimator design method …
parameter (using a proportional–integral least mean square form) estimator design method …
A sparse sensing and Chemical Reactor Network based framework for the development of physics-based digital twins of combustion devices
This paper introduces an approach that leverages sparse sensing techniques to construct
digital twins of combustion systems using models grounded in fundamental physical …
digital twins of combustion systems using models grounded in fundamental physical …
Robustness Analysis on the Aerothermal Performance of Turbine Blade Squealer Tip
M Huang, Z Li, J Li - Journal of Engineering for Gas …, 2022 - asmedigitalcollection.asme.org
An improved efficient uncertainty quantification (UQ) analysis framework is proposed by the
combination of sparse polynomial chaos expansion (PCE) and universal Kriging (UK) …
combination of sparse polynomial chaos expansion (PCE) and universal Kriging (UK) …