< Back to previous page
Researcher
Marc Delghust
- Keywords:building energy performance, user behaviour in buildings, building monitoring
- Disciplines:Sustainable building, Building physics, Sustainable buildings and cities, Energy in buildings and built environments
Affiliations
- Department of Electromechanical, Systems and Metal Engineering (Department)
Member
From1 Mar 2017 → 31 Aug 2017 - Department of Architecture and urban planning (Department)
Member
From1 Nov 2008 → Today
Projects
1 - 1 of 1
- Energy renovation and occupant behaviour: towards a correct prediction of real energy savings in dwellingsFrom1 Oct 2010 → 30 Sep 2014Funding: BOF - Other initiatives, FWO fellowships
Publications
1 - 10 of 80
- A critical analysis of institutional and regulatory framework for building stock energy efficiency and transition in Pakistan(2024)
Authors: Nida Batool Sheikh, Jelle Laverge, Marc Delghust
Pages: 32 - 41 - Large-scale statistical analysis and modelling of real and regulatory total energy use in existing single-family houses in Flanders(2023)
Authors: Matthias Van Hove, Mieke Deurinck, Wim Lameire, Jelle Laverge, Arnold Janssens, Marc Delghust
Pages: 203 - 222 - Performance comparison of three Sensitivity Analysis methods for Building-Stock Energy Models : Sobol’ SA, OAT and standardised regression SA(2023)
Authors: Matthias Van Hove, Marc Delghust, Jelle Laverge
Number of pages: 1 - In-situ empirical validation of common indoor climate parameters in an inhabited multizone dwelling(2023)
Authors: Matthias Van Hove, Josué Borrajo Bastero, Marc Delghust, Jelle Laverge
Pages: 730 - 747 - Insights into the Urban Building Energy Modelling (UBEM) approaches to propose a suitable UBEM strategy for Pakistan(2023)
Authors: Nida Batool Sheikh, Jelle Laverge, Marc Delghust
Pages: 1 - 8 - A critical analysis of institutional and regulatory framework for building stock energy efficiency and transition in Pakistan(2023)
Authors: Nida Batool Sheikh, Jelle Laverge, Marc Delghust
Pages: 1 - 9 - Comparison of global sensitivity analysis methods for urban scale building stock energy models(2022)
Authors: Matthias Van Hove, Marc Delghust, Jelle Laverge
Number of pages: 1 - Data-driven statistical and machine learning modelling of real building stock energy use(2022)
Authors: Matthias Van Hove, Jelle Laverge, Arnold Janssens, Marc Delghust
Number of pages: 1 - Statistical data-driven analysis and modelling of total energy use in new or thoroughly renovated single-family houses(2022)Volume: 362
Authors: Matthias Van Hove, Jelle Laverge, Arnold Janssens, Marc Delghust
Number of pages: 1 - Indoor climate prediction performance of dynamic BES-models in dymola(2022)
Authors: Matthias Van Hove, Josué Borrajo Bastero, Elisa Van Kenhove, Marc Delghust, Jelle Laverge
Number of pages: 1