Challenges and opportunities for the application of digital twins in hard-to-abate industries: A review

MA Hafeez, A Procacci, A Coussement… - Resources, Conservation …, 2024 - Elsevier
The energy-intensive industry, heavily reliant on heat generation processes, faces the
critical challenge of drastically reducing greenhouse gas emissions. This study reviews the …

[HTML][HTML] The reactor-based perspective on finite-rate chemistry in turbulent reacting flows: A review from traditional to low-emission combustion

A Péquin, MJ Evans, A Chinnici, PR Medwell… - Applications in Energy …, 2023 - Elsevier
In flames, turbulence can either limit or enhance combustion efficiency by means of strain
and mixing. The interactions between turbulent motions and chemistry are crucial to the …

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 …

[HTML][HTML] Optical sensing for MILD Combustion monitoring

GB Ariemma, G Sorrentino, M de Joannon, P Sabia… - Fuel, 2023 - Elsevier
Sustainable thermochemical conversion processes require new monitoring and control
strategies relying on proper diagnostics methodologies capable of reconstructing the …

AI-driven DfAM of aeronautical hydrogen gas turbine combustors

A Boretti, A Huang - International Journal of Hydrogen Energy, 2024 - Elsevier
The increasing demand for sustainable aviation solutions has intensified the development of
hydrogen-fueled gas turbine combustors, necessitating advanced manufacturing techniques …

Creating an Advanced Sensor Network to calculate real-time, mass-weighted flue gas composition and air heater leakage of a coal-fired utility boiler under dynamic …

K Stewart, C Moran, K Powell, J Tuttle, A Fry - Journal of Process Control, 2023 - Elsevier
Utilization of renewable energy sources to minimize the environmental impact of energy
production has changed the way utility boilers operate, requiring frequent load cycling …

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 …

Parameter Estimation Using a Gaussian Process Regression-Based Reduced-Order Model and Sparse Sensing: Application to a Methane/Air Lifted Jet Flame

A Procacci, L Donato, R Amaduzzi, C Galletti… - Flow, Turbulence and …, 2024 - Springer
The goal of this work is to perform parameter estimation by comparing a Reduced Order
Model (ROM), built using Proper Orthogonal Decomposition (POD) and Gaussian Process …

Digital Twin for Experimental Data Fusion Applied to a Semi-Industrial Furnace Fed with H2-Rich Fuel Mixtures

A Procacci, M Cafiero, S Sharma, MM Kamal… - Energies, 2023 - mdpi.com
The objective of this work is to build a Digital Twin of a semi-industrial furnace using
Gaussian Process Regression coupled with dimensionality reduction via Proper Orthogonal …

[PDF][PDF] A journey from mechanistic to data-driven models in process engineering: dimensionality reduction, surrogate and hybrid approaches, and digital twins

K Bizon - Chemical and Process Engineering: New Frontiers, 2023 - journals.pan.pl
The study examines various approaches oriented towards conceptual and numerical
reduction of first-principle models, data-driven methodologies for surrogate (black box) and …