Experimental and computational (Chemical Kinetic+ CFD) analyses of Self-Recuperative annular tubular porous burner for NH3/CH4-air Non-Premixed combustion
Ammonia is now being explored as a potential gas turbine fuel because of its renewable
and carbon-free nature. Ammonia combustion possesses various limitations, such as high …
and carbon-free nature. Ammonia combustion possesses various limitations, such as high …
Scale-bridging within a complex model hierarchy for investigation of a metal-fueled circular energy economy by use of Bayesian model calibration with model error …
L Gossel, E Corbean, S Dübal, P Brand… - arXiv preprint arXiv …, 2024 - arxiv.org
Chemical reactor network (CRN) modeling is a promising approach for scale-bridging within
a model hierarchy covering a huge range of scales from micro to macro in the scope of …
a model hierarchy covering a huge range of scales from micro to macro in the scope of …
A multi-fidelity framework for developing digital twins of combustion systems from heterogeneous data: Application to ammonia combustion
In the present work, we introduce a multi-fidelity reduced-order model (MF-ROM) framework
that effectively blends high-fidelity evaluations (accurate but expensive) with low-fidelity …
that effectively blends high-fidelity evaluations (accurate but expensive) with low-fidelity …
Continuously-staged NH3 oxidation in a stagnation-point reverse-flow combustor for low NOx emissions
Employing ammonia as an alternative fuel to defossilize hard-to-abate processes is
promising but poses challenges. Ammonia's unique combustion properties require the …
promising but poses challenges. Ammonia's unique combustion properties require the …
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 …