Steady-state loss prediction method for calorimetric measurement speed-up

Ghent University Academic Bibliography (Ghent University) 2026

Authors: Jasper Nonneman, Ilya T’Jollyn, Jeroen D. M. De Kooning, Michel De Paepe
Cited by: 0

Abstract

Calorimetric measurements for component and system loss determination and model validation are more time-consuming than input–output methods, but offer higher accuracy. A key goal of the IRVA CALORIL project is to reduce measurement time using thermal modelling approaches.

Fields of Study & Subjects

Building Energy and Comfort Optimization thermodynamics and calorimetric analyses Thermography and Photoacoustic Techniques

Publication details

Journal / source
Ghent University Academic Bibliography (Ghent University)
Publication date
1 January 2026
Language
EN