Digital twin for experimental data fusion applied to a semi-industrial furnace fed with h2-rich fuel mixtures

HIGHLIGHTS

• who: Marianna Cafiero and collaborators from the Institute for Thermal-Fluid Systems and Clean Energy (BRITE), Universitu00e9 Libre de Bruxelles and have published the Article: Digital Twin for Experimental Data Fusion Applied to a Semi-Industrial Furnace Fed with H2-Rich Fuel Mixtures, in the Journal: Energies 2023, 16, 662. of /2023/
• what: The aim of this work is to build a Twin of a semi-industrial furnace using Gaussian Process Regression coupled with dimensionality reduction via Proper Orthogonal Decomposition. The authors demonstrate that the same approach can be applied on heterogeneous datasets obtained from . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or E-mail:

  If you don't have an account, you can create one here.