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Dirk Saelens
Dirk Saelens
Full Professor, Energy in Buildings, KU Leuven / EnergyVille
Verified email at kuleuven.be - Homepage
Title
Cited by
Cited by
Year
Assessing electrical bottlenecks at feeder level for residential net zero-energy buildings by integrated system simulation
R Baetens, R De Coninck, J Van Roy, B Verbruggen, J Driesen, L Helsen, ...
Applied Energy 96, 74-83, 2012
2872012
Potential of structural thermal mass for demand-side management in dwellings
G Reynders, T Nuytten, D Saelens
Building and Environment 64, 187-199, 2013
2772013
Quality of grey-box models and identified parameters as function of the accuracy of input and observation signals
G Reynders, J Diriken, D Saelens
Energy and buildings 82, 263-274, 2014
2382014
Energy flexible buildings: An evaluation of definitions and quantification methodologies applied to thermal storage
G Reynders, RA Lopes, A Marszal-Pomianowska, D Aelenei, J Martins, ...
Energy and Buildings 166, 372-390, 2018
2312018
Energy performance assessment of single storey multiple-skin facades
D Saelens
2282002
Generic characterization method for energy flexibility: Applied to structural thermal storage in residential buildings
G Reynders, J Diriken, D Saelens
Applied energy 198, 192-202, 2017
2162017
Implementation and verification of the IDEAS building energy simulation library
F Jorissen, G Reynders, R Baetens, D Picard, D Saelens, L Helsen
Journal of Building Performance Simulation 11 (6), 669-688, 2018
2082018
Strategies to improve the energy performance of multiple-skin facades
D Saelens, S Roels, H Hens
Building and environment 43 (4), 638-650, 2008
1682008
Energy performance assessment of multiple-skin facades
D Saelens, J Carmeliet, H Hens
HVAC&R Research 9 (2), 167-185, 2003
1662003
Heat pump and PV impact on residential low-voltage distribution grids as a function of building and district properties
C Protopapadaki, D Saelens
Applied Energy 192, 268-281, 2017
1632017
Modelling uncertainty in district energy simulations by stochastic residential occupant behaviour
R Baetens, D Saelens
Journal of Building Performance Simulation 9 (4), 431-447, 2016
1622016
Coupling of dynamic building simulation with stochastic modelling of occupant behaviour in offices–a review-based integrated methodology
W Parys, D Saelens, H Hens
Journal of Building Performance Simulation 4 (4), 339-358, 2011
1622011
Energy and comfort performance of thermally activated building systems including occupant behavior
D Saelens, W Parys, R Baetens
Building and environment 46 (4), 835-848, 2011
1602011
Openideas-an open framework for integrated district energy simulations
R Baetens, R De Coninck, F Jorissen, D Picard, L Helsen, D Saelens
Building simulation, 345-354, 2015
1512015
An automated IFC-based workflow for building energy performance simulation with Modelica
A Andriamamonjy, D Saelens, R Klein
Automation in Construction 91, 166-181, 2018
1112018
Rule-based demand-side management of domestic hot water production with heat pumps in zero energy neighbourhoods
R De Coninck, R Baetens, D Saelens, A Woyte, L Helsen
Journal of Building Performance Simulation 7 (4), 271-288, 2014
1012014
Grid impact indicators for active building simulations
B Verbruggen, J Driesen
IEEE Transactions on Sustainable Energy 6 (1), 43-50, 2014
952014
A combined scientometric and conventional literature review to grasp the entire BIM knowledge and its integration with energy simulation
A Andriamamonjy, D Saelens, R Klein
Journal of Building Engineering 22, 513-527, 2019
902019
Quantifying the impact of building design on the potential of structural storage for active demand response in residential buildings
G Reynders
KU Leuven, Department of Civil Engineering, Building Physics Section, 2015
892015
CO2-abatement cost of residential heat pumps with active demand response: demand-and supply-side effects
D Patteeuw, G Reynders, K Bruninx, C Protopapadaki, E Delarue, ...
Applied Energy 156, 490-501, 2015
882015
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