Self-updating digital twin of a hydrogen-powered furnace using data assimilation

L Donato, C Galletti, A Parente - Applied Thermal Engineering, 2024 - Elsevier
Data assimilation, ie, upgrading a numerical model by using experimental observations, is
applied to adapt the performances of a simulation-based digital twin (DT) of a semi-industrial …

Data-driven models and digital twins for sustainable combustion technologies

A Parente, N Swaminathan - Iscience, 2024 - cell.com
We highlight the critical role of data in developing sustainable combustion technologies for
industries requiring high-density and localized energy sources. Combustion systems are …

High-resolution reconstruction of turbulent flames from sparse data with physics-informed neural networks

S Liu, H Wang, JH Chen, K Luo, J Fan - Combustion and Flame, 2024 - Elsevier
Accurate and detailed data are vital for fundamental understanding of turbulent combustion.
However, studies of turbulent combustion often suffer from measurement sparsity or high …

Augmented state estimation of urban settings using on-the-fly sequential Data Assimilation

L Villanueva, MM Valero, AŠ Glumac, M Meldi - Computers & Fluids, 2024 - Elsevier
A data-driven investigation of the flow around a high-rise building is performed by combining
heterogeneous experimental samples and numerical models based on the Reynolds …

Real-time thermoacoustic data assimilation

A Nóvoa, L Magri - Journal of Fluid Mechanics, 2022 - cambridge.org
Low-order thermoacoustic models are qualitatively correct, but typically, they are
quantitatively inaccurate. We propose a time-domain bias-aware method to make …

A multigrid/ensemble Kalman filter strategy for assimilation of unsteady flows

G Moldovan, G Lehnasch, L Cordier, M Meldi - Journal of Computational …, 2021 - Elsevier
A sequential estimator based on the Ensemble Kalman Filter for Data Assimilation of fluid
flows is presented in this research work. The main feature of this estimator is that the Kalman …

Turbulence-induced bias in time-averaged laser absorption tomography of correlated concentration and temperature fields with a first-order correction

C Wei, N Perakis, DI Pineda, FN Egolfopoulos… - Combustion and …, 2022 - Elsevier
The influence of correlated scalar fluctuations on time-averaged laser absorption
tomography measurements of temperature and species in a piloted turbulent premixed …

A data-driven kinematic model of a ducted premixed flame

H Yu, MP Juniper, L Magri - Proceedings of the Combustion Institute, 2021 - Elsevier
Reduced-order models of flame dynamics can be used to predict and mitigate the
emergence of thermoacoustic oscillations in the design of gas turbine and rocket engines …

[HTML][HTML] Advances in imaging of chemically reacting flows

JH Frank - The Journal of Chemical Physics, 2021 - pubs.aip.org
Many important chemically reacting systems are inherently multi-dimensional with spatial
and temporal variations in the thermochemical state, which can be strongly coupled to …

Data assimilation and optimal calibration in nonlinear models of flame dynamics

H Yu, T Jaravel, M Ihme… - … of Engineering for …, 2019 - asmedigitalcollection.asme.org
We propose an on-the-fly statistical learning method to take a qualitative reduced-order
model of the dynamics of a premixed flame and make it quantitatively accurate. This physics …