Digital Twin for Experimental Data Fusion Applied to a Semi-Industrial Furnace Fed with H<sub>2</sub>-Rich Fuel Mixtures

Digital Twin for Experimental Data Fusion Applied to a Semi-Industrial Furnace Fed with H<sub>2</sub>-Rich Fuel Mixtures

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 Decomposition. The Digital Twin is capable of integrating different sources of information, such as temperature, chemilumin...

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Bibliographic Details
Main Authors: Alberto Procacci, Marianna Cafiero, Saurabh Sharma, Muhammad Mustafa Kamal, Axel Coussement, Alessandro Parente
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Energies
Subjects:
digital twin
data fusion
dimensionality reduction
Online Access:https://www.mdpi.com/1996-1073/16/2/662

Internet

https://www.mdpi.com/1996-1073/16/2/662

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