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The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  1. Zhang, Xiang / Aviv, Dorit / Saelens, Dirk / Roels, Staf (2023): Estimating time-dependent solar gains through opaque building envelope parts: an explorative study on a test box. In: Journal of Physics: Conference Series, v. 2654, n. 1 (1 December 2023).

    https://doi.org/10.1088/1742-6596/2654/1/012123

  2. Ritosa, Katia / Saelens, Dirk / Roels, Staf (2024): Estimating the as-built thermal performance of dwellings using simulated on-board data: From ideal to limited monitoring. In: Energy and Buildings, v. 312 (June 2024).

    https://doi.org/10.1016/j.enbuild.2024.114171

  3. Erfani, Arash / Jafarinejad, Tohid / Roels, Staf / Saelens, Dirk (2024): In search of optimal building behavior models for model predictive control in the context of flexibility. In: Building Simulation, v. 17, n. 1 (January 2024).

    https://doi.org/10.1007/s12273-023-1079-0

  4. Ritosa, Katia / Saelens, Dirk / Roels, Staf (2023): Assessing the co-heating test as reference for heat loss coefficient estimation: In-depth analysis on an artificial dataset. In: Energy and Buildings, v. 298 (November 2023).

    https://doi.org/10.1016/j.enbuild.2023.113530

  5. Zhang, Xiang / Saelens, Dirk / Roels, Staf (2023): Data-driven estimation of time-dependent solar gain coefficient in a two-zone building with synthetic occupants: Two B-splines integrated grey-box modeling approaches. In: Building and Environment, v. 244 (October 2023).

    https://doi.org/10.1016/j.buildenv.2023.110311

  6. Zhang, Xiang / Saelens, Dirk / Roels, Staf (2023): Impact of solar gain estimation on heat loss coefficient determination using in-situ data: Comparing co-heating test with B-splines integrated grey-box modelling. In: Building and Environment, v. 243 (September 2023).

    https://doi.org/10.1016/j.buildenv.2023.110417

  7. Ritosa, Katia / Saelens, Dirk / Roels, Staf (2023): A large scale artificial dataset to evaluate the impact of on-board monitoring set-ups on the Heat Transfer Coefficient assessment. In: Energy and Buildings, v. 289 (June 2023).

    https://doi.org/10.1016/j.enbuild.2023.113061

  8. Merema, Bart / Saelens, Dirk / Breesch, Hilde (2022): Demonstration of an MPC framework for all-air systems in non-residential buildings. In: Building and Environment, v. 217 (June 2022).

    https://doi.org/10.1016/j.buildenv.2022.109053

  9. Willems, Sara / Saelens, Dirk / Heylighen, Ann (2022): Discrepancies between predicted and actual indoor environmental (dis)comfort: the role of hospitalized patients’ adaptation strategies. In: Building Research & Information, v. 50, n. 7 (June 2022).

    https://doi.org/10.1080/09613218.2022.2038060

  10. De Jaeger, Ina / Vandermeulen, Annelies / van der Heijde, Bram / Helsen, Lieve / Saelens, Dirk (2020): Aggregating set-point temperature profiles for archetype-based: simulations of the space heat demand within residential districts. In: Journal of Building Performance Simulation, v. 13, n. 3 (March 2020).

    https://doi.org/10.1080/19401493.2020.1727567

  11. Reinbold, Vincent / Protopapadaki, Christina / Tavella, Jean-Philippe / Saelens, Dirk (2019): Assessing scalability of a low-voltage distribution grid co-simulation through functional mock-up interface. In: Journal of Building Performance Simulation, v. 12, n. 5 (June 2019).

    https://doi.org/10.1080/19401493.2019.1597923

  12. Merema, Bart / Saelens, Dirk / Breesch, Hilde (2021): Analysing modelling challenges of smart controlled ventilation systems in educational buildings. In: Journal of Building Performance Simulation, v. 14, n. 2 (January 2021).

    https://doi.org/10.1080/19401493.2020.1867639

  13. Baetens, Ruben / Saelens, Dirk (2015): Modelling uncertainty in district energy simulations by stochastic residential occupant behaviour. In: Journal of Building Performance Simulation, v. 9, n. 4 (September 2015).

    https://doi.org/10.1080/19401493.2015.1070203

  14. Saelens, Dirk / van Schijndel, Jos (2014): Cross-industry Multi-domain Modelling Language Applications for Building Simulation. In: Journal of Building Performance Simulation, v. 7, n. 4 (January 2014).

    https://doi.org/10.1080/19401493.2014.870301

  15. Parys, Wout / Saelens, Dirk / Hens, Hugo (2011): Coupling of dynamic building simulation with stochastic modelling of occupant behaviour in offices – a review-based integrated methodology. In: Journal of Building Performance Simulation, v. 4, n. 4 (December 2011).

    https://doi.org/10.1080/19401493.2010.524711

  16. Saelens, Dirk / Roels, Staf / Hens, Hugo (2004): The inlet temperature as a boundary condition for multiple-skin facade modelling. In: Energy and Buildings, v. 36, n. 8 (August 2004).

    https://doi.org/10.1016/j.enbuild.2004.01.005

  17. Deurinck, Mieke / Saelens, Dirk / Roels, Staf (2012): Assessment of the physical part of the temperature takeback for residential retrofits. In: Energy and Buildings, v. 52 (September 2012).

    https://doi.org/10.1016/j.enbuild.2012.05.024

  18. Leenknegt, Sarah / Wagemakers, Rolf / Bosschaerts, Walter / Saelens, Dirk (2012): Numerical sensitivity study of transient surface convection during night cooling. In: Energy and Buildings, v. 53 (October 2012).

    https://doi.org/10.1016/j.enbuild.2012.06.020

  19. Verhelst, Joachim / van Ham, Geert / Saelens, Dirk / Helsen, Lieve (2017): Economic impact of persistent sensor and actuator faults in concrete core activated office buildings. In: Energy and Buildings, v. 142 (May 2017).

    https://doi.org/10.1016/j.enbuild.2017.02.052

  20. Reynders, Glenn / Amaral Lopes, Rui / Marszal-Pomianowska, Anna / Aelenei, Daniel / Martins, João / Saelens, Dirk (2018): Energy flexible buildings: An evaluation of definitions and quantification methodologies applied to thermal storage. In: Energy and Buildings, v. 166 (May 2018).

    https://doi.org/10.1016/j.enbuild.2018.02.040

  21. Senave, Marieline / Roels, Staf / Verbeke, Stijn / Saelens, Dirk (2020): Analysis of the influence of the definition of the interior dwelling temperature on the characterization of the heat loss coefficient via on-board monitoring. In: Energy and Buildings, v. 215 (May 2020).

    https://doi.org/10.1016/j.enbuild.2020.109860

  22. De Jaeger, Ina / Reynders, Glenn / Callebaut, Chadija / Saelens, Dirk (2020): A building clustering approach for urban energy simulations. In: Energy and Buildings, v. 208 (February 2020).

    https://doi.org/10.1016/j.enbuild.2019.109671

  23. Senave, Marieline / Roels, Staf / Reynders, Glenn / Verbeke, Stijn / Saelens, Dirk (2020): Assessment of data analysis methods to identify the heat loss coefficient from on-board monitoring data. In: Energy and Buildings, v. 209 (February 2020).

    https://doi.org/10.1016/j.enbuild.2019.109706

  24. Senave, Marieline / Reynders, Glenn / Sodagar, Behzad / Verbeke, Stijn / Saelens, Dirk (2019): Mapping the pitfalls in the characterisation of the heat loss coefficient from on-board monitoring data using ARX models. In: Energy and Buildings, v. 197 (August 2019).

    https://doi.org/10.1016/j.enbuild.2019.05.047

  25. Andriamamonjy, Ando / Klein, Ralf / Saelens, Dirk (2019): Automated grey box model implementation using BIM and Modelica. In: Energy and Buildings, v. 188-189 (April 2019).

    https://doi.org/10.1016/j.enbuild.2019.01.046

  26. Parys, Wout / Breesch, Hilde / Hens, Hugo / Saelens, Dirk (2012): Feasibility assessment of passive cooling for office buildings in a temperate climate through uncertainty analysis. In: Building and Environment, v. 56 (October 2012).

    https://doi.org/10.1016/j.buildenv.2012.02.018

  27. Saelens, Dirk / Parys, Wout / Baetens, Ruben (2011): Energy and comfort performance of thermally activated building systems including occupant behavior. In: Building and Environment, v. 46, n. 4 (April 2011).

    https://doi.org/10.1016/j.buildenv.2010.10.012

  28. Andriamamonjy, Ando / Saelens, Dirk / Klein, Ralf (2019): A combined scientometric and conventional literature review to grasp the entire BIM knowledge and its integration with energy simulation. In: Journal of Building Engineering, v. 22 (March 2019).

    https://doi.org/10.1016/j.jobe.2018.12.021

  29. Andriamamonjy, Ando / Saelens, Dirk / Klein, Ralf (2018): An automated IFC-based workflow for building energy performance simulation with Modelica. In: Automation in Construction, v. 91 (July 2018).

    https://doi.org/10.1016/j.autcon.2018.03.019

  30. Andriamamonjy, Ando / Saelens, Dirk / Klein, Ralf (2018): An auto-deployed model-based fault detection and diagnosis approach for Air Handling Units using BIM and Modelica. In: Automation in Construction, v. 96 (December 2018).

    https://doi.org/10.1016/j.autcon.2018.09.016

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