Research Explorer

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Project

Bottom-up modelleren van gebouwpatrimonia: tegemoetkomen aan de prestatiekloof tussen het werkelijk en het theoretisch energiegebruik door gebruik te maken van grey-box modelling

Output en outcomes

Publicaties

Uncertainty and sensitivity analysis of building-stock energy models : sampling procedure, stock size and Sobol’ convergence

Matthias Van HoveMarc DelghustJelle Laverge

A1 Artikel in een tijdschrift in JOURNAL OF BUILDING PERFORMANCE SIMULATION

Large-scale statistical analysis and modelling of real and regulatory total energy use in existing single-family houses in Flanders

Matthias Van HoveMieke DeurinckWim LameireJelle LavergeArnold JanssensMarc Delghust

A1 Artikel in een tijdschrift in BUILDING RESEARCH AND INFORMATION

Data-driven machine learning model performance of real annual natural gas consumption in residential buildings

Matthias Van HoveMarc DelghustJelle Laverge

Statistical data-driven analysis and modelling of total energy use in new or thoroughly renovated single-family houses

Matthias Van HoveJelle LavergeArnold JanssensMarc Delghust

Global sensitivity analysis for building-stock energy models : application of three global approaches

Matthias Van HoveMarc DelghustJelle Laverge

Indoor climate prediction performance of dynamic BES-models in dymola

Matthias Van HoveJosué Borrajo BasteroElisa Van KenhoveMarc DelghustJelle Laverge

Data-driven statistical and machine learning modelling of real building stock energy use

Matthias Van HoveJelle LavergeArnold JanssensMarc Delghust

Types of uncertainty in simulation models : categorisation for better identification, accounting and assessment

Matthias Van HoveMarc DelghustJelle Laverge

Comparison of global sensitivity analysis methods for urban scale building stock energy models

Matthias Van HoveMarc DelghustJelle Laverge

Coupling of air multizone and thermal multizone models in modelica

Josué Borrajo BasteroJelle LavergeMarc DelghustElisa Van KenhoveMatthias Van Hove

Challenges and lessons learned in applying sensitivity analysis to building stock energy models

Pamela FennellMatthias Van HoveLia WeinbergGeorge BennettMarc DelghustSebastian ForthuberMartin JakobErika MataClaudio NageliJanet ReynaGiacomo Catenazzi et al.

Data-driven statistical modelling of real energy use in modern Flemish single-family houses : a feasibility study

Matthias Van HoveMieke DeurinckWim LameireJelle LavergeArnold JanssensMarc Delghust

Global sensitivity analysis for large scale building energy models : importance of building stock size and convergence

Matthias Van HoveMarc DelghustJelle Laverge

IAQ-prediction in multi-zone reduced order BES-models

Matthias Van HoveJosué Borrajo BasteroElisa Van KenhoveMarc DelghustJelle Laverge

Developing a common approach for classifying building stock energy models

J. LangevinJ. L. ReynaS. EbrahimigharehbaghiN. SandbergP. FennellC. NageliJelle LavergeMarc DelghustE. MataMatthias Van HoveJ. WebsterF. FedericoM. JakobC. Camarasa et al.

A1 Artikel in een tijdschrift in RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Design and operation of domestic hot water systems : optimisation using building energy simulation

Matthias Van HoveElisa Van KenhoveLien De BackerJelle LavergeArnold Janssens

Design and operation of domestic hot water systems : optimisation using building energy simulation

Matthias Van HoveElisa Van KenhoveLien De BackerJelle LavergeArnold Janssens

Legionella pneumophila on tap : optimising design of domestic hot water systems using building energy simulation

Elisa Van KenhoveMatthias Van HoveArnold JanssensJelle Laverge