Search Results - "Procacci, Alberto"

Parameter Estimation Using a Gaussian Process Regression-Based Reduced-Order Model and Sparse Sensing: Application to a Methane/Air Lifted Jet Flame by Procacci, Alberto, Donato, Laura, Amaduzzi, Ruggero, Galletti, Chiara, Coussement, Axel, Parente, Alessandro

“…The goal of this work is to perform parameter estimation by comparing a Reduced Order Model (ROM), built using Proper Orthogonal Decomposition (POD) and…”
Get full text

Digital Twin for Experimental Data Fusion Applied to a Semi-Industrial Furnace Fed with H2-Rich Fuel Mixtures by Procacci, Alberto, Cafiero, Marianna, Sharma, Saurabh, Kamal, Muhammad Mustafa, Coussement, Axel, Parente, Alessandro

“…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…”
Get full text

Adaptive digital twins of combustion systems using sparse sensing strategies by Procacci, Alberto, Amaduzzi, Ruggero, Coussement, Axel, Parente, Alessandro

“…This work proposes to implement a sparse sensing framework to build a hybrid numerical-experimental Digital Twin of a practical combustion system. The goal is…”
Get full text

Computed tomography of chemiluminescence using a data-driven sparse sensing framework by Procacci, Alberto, Amaduzzi, Ruggero, Coussement, Axel, Parente, Alessandro

“…The aim of this work is to demonstrate the use of data-driven sparse sensing for the reconstruction of the three-dimensional chemiluminescence field of a flame…”
Get full text

Challenges and opportunities for the application of digital twins in hard-to-abate industries: a review by Hafeez, Muhammad Azam, Procacci, Alberto, Coussement, Axel, Parente, Alessandro

“…•Combustion-based manufacturing needs innovative solutions to drastically reduce carbon emissions.•Digital twin technology can improve the efficiency and…”
Get full text

Analysis of the information overlap between the PIV and OH chemiluminescence signals in turbulent flames using a sparse sensing framework by Procacci, Alberto, Kamal, M. Mustafa, Hochgreb, Simone, Coussement, Axel, Parente, Alessandro

“…The purpose of this study is to quantify the information overlap between the OH* chemiluminescence signal and the three-dimensional Particle Image Velocimetry…”
Get full text

A sparse sensing and Chemical Reactor Network based framework for the development of physics-based digital twins of combustion devices by Savarese, Matteo, Procacci, Alberto, Iavarone, Salvatore, Giuntini, Lorenzo, Paepe, Ward De, Parente, Alessandro

“…This paper introduces an approach that leverages sparse sensing techniques to construct digital twins of combustion systems using models grounded in…”
Get full text

Integrating data assimilation and sparse sensing for updating a digital twin of a semi-industrial furnace by Donato, Laura, Kamal, M. Mustafa, Procacci, Alberto, Cafiero, Marianna, Sharma, Saurabh, Galletti, Chiara, Coussement, Axel, Parente, Alessandro

“…This study presents a data assimilation (DA) framework that combines a simulation-based digital twin (DT) with a sparse sensing (SpS) strategy using…”
Get full text

A multi-fidelity framework for developing digital twins of combustion systems from heterogeneous data: Application to ammonia combustion by Özden, Aysu, Savarese, Matteo, Giuntini, Lorenzo, Procacci, Alberto, Malpica Galassi, Riccardo, Coussement, Axel, Contino, Francesco, Parente, Alessandro

“…In the present work, we introduce a multi-fidelity reduced-order model (MF-ROM) framework that effectively blends high-fidelity evaluations (accurate but…”
Get full text