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Glenn Reynders
Glenn Reynders
Vito | EnergyVille
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IEA EBC annex 67 energy flexible buildings
SØ Jensen, A Marszal-Pomianowska, R Lollini, W Pasut, A Knotzer, ...
Energy and Buildings 155, 25-34, 2017
4452017
Characterizing the energy flexibility of buildings and districts
RG Junker, AG Azar, RA Lopes, KB Lindberg, G Reynders, R Relan, ...
Applied energy 225, 175-182, 2018
3582018
Potential of structural thermal mass for demand-side management in dwellings
G Reynders, T Nuytten, D Saelens
Building and Environment 64, 187-199, 2013
2662013
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
2232014
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
2102018
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
2022017
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
1862018
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
Quantifying the impact of building design on the potential of structural storage for active demand response in residential buildings
G Reynders
802015
A building clustering approach for urban energy simulations
I De Jaeger, G Reynders, C Callebaut, D Saelens
Energy and buildings 208, 109671, 2020
542020
Thermal performance characterization using time series data-IEA EBC Annex 58 Guidelines
H Madsen, P Bacher, G Bauwens, AH Deconinck, G Reynders, S Roels, ...
Technical University of Denmark, 2015
48*2015
Final report on the technical support to the development of a smart readiness indicator for buildings
S Verbeke, D Aerts, G Reynders, Y Ma, P Waide
European Commission: Brussels, Belgium, 2020
412020
Impact of building geometry description within district energy simulations
I De Jaeger, G Reynders, Y Ma, D Saelens
Energy 158, 1060-1069, 2018
412018
A generic quantification method for the active demand response potential of structural storage in buildings
G Reynders, J Diriken, D Saelens
14th International Conference of IBPSA-Building Simulation 2015, BS 2015 …, 2015
352015
Bottom-up modelling of the Belgian residential building stock: impact of building stock descriptions
C Protopapadaki, G Reynders, D Saelens
Proceedings of the 9th International Conference on System Simulation in …, 2014
352014
Characterisation and use of energy flexibility in water pumping and storage systems
RA Lopes, RG Junker, J Martins, J Murta-Pina, G Reynders, H Madsen
Applied Energy 277, 115587, 2020
312020
Sources of energy flexibility in district heating networks: building thermal inertia versus thermal energy storage in the network pipes
A Vandermeulen, G Reynders, B Van Der Heijde, D Vanhoudt, ...
Proceedings of the urban energy simulation conference 2018, 1-9, 2018
242018
Bottom-up modeling of the Belgian residential building stock: influence of model complexity
G Reynders, J Diriken, D Saelens
SSB 2014, 1-19, 2014
232014
Towards the characterization of the heat loss coefficient via on-board monitoring: Physical interpretation of ARX model coefficients
M Senave, G Reynders, P Bacher, S Roels, S Verbeke, D Saelens
Energy and Buildings 195, 180-194, 2019
212019
Impact of source variability on flexibility for demand response
S O'Connell, G Reynders, MM Keane
Energy 237, 121612, 2021
182021
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Artikler 1–20