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 | 464 | 2017 |
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 | 374 | 2018 |
Potential of structural thermal mass for demand-side management in dwellings G Reynders, T Nuytten, D Saelens Building and Environment 64, 187-199, 2013 | 274 | 2013 |
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 | 229 | 2014 |
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 | 221 | 2018 |
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 | 207 | 2017 |
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 | 199 | 2018 |
Quantifying the impact of building design on the potential of structural storage for active demand response in residential buildings G Reynders | 89 | 2015 |
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 | 86 | 2015 |
A building clustering approach for urban energy simulations I De Jaeger, G Reynders, C Callebaut, D Saelens Energy and buildings 208, 109671, 2020 | 57 | 2020 |
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 | 54* | 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 | 49 | 2020 |
Impact of building geometry description within district energy simulations I De Jaeger, G Reynders, Y Ma, D Saelens Energy 158, 1060-1069, 2018 | 43 | 2018 |
A generic quantification method for the active demand response potential of structural storage in buildings G Reynders, J Diriken, D Saelens Proceedings of the 14th International Conference of IBPSA-Building …, 2015 | 36 | 2015 |
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 | 35 | 2014 |
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 | 31 | 2020 |
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 | 24 | 2018 |
Bottom-up modeling of the Belgian residential building stock: influence of model complexity G Reynders, J Diriken, D Saelens SSB 2014, 1-19, 2014 | 23 | 2014 |
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 | 22 | 2019 |
Assessment of data analysis methods to identify the heat loss coefficient from on-board monitoring data M Senave, S Roels, G Reynders, S Verbeke, D Saelens Energy and Buildings 209, 109706, 2020 | 21 | 2020 |