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 …

Integrating data assimilation and sparse sensing for updating a digital twin of a semi-industrial furnace

L Donato, MM Kamal, A Procacci, M Cafiero… - Proceedings of the …, 2024 - Elsevier
This study presents a data assimilation (DA) framework that combines a simulation-based
digital twin (DT) with a sparse sensing (SpS) strategy using experimental data. This …