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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. Willems, S. / Saelens, D. / Heylighen, A. (2022): Patient well-being, adaptation of and to indoor conditions, and hospital room design: two mixed methods case studies. In: Building Research & Information, v. 50, n. 1-2 (24 January 2022).

    https://doi.org/10.1080/09613218.2021.2004386

  2. Jorissen, F. / Reynders, G. / Baetens, R. / Picard, D. / Saelens, D. / Helsen, L. (2018): Implementation and verification of the IDEAS building energy simulation library. In: Journal of Building Performance Simulation, v. 11, n. 6 (February 2018).

    https://doi.org/10.1080/19401493.2018.1428361

  3. De Coninck, R. / Baetens, R. / Saelens, D. / Woyte, A. / Helsen, L. (2014): Rule-based demand-side management of domestic hot water production with heat pumps in zero energy neighbourhoods. In: Journal of Building Performance Simulation, v. 7, n. 4 (January 2014).

    https://doi.org/10.1080/19401493.2013.801518

  4. Baetens, R. / De Coninck, R. / Helsen, L. / Saelens, D. (2010): The Impact of Load Profile on the Grid-Interaction of Building Integrated Photovoltaic (BIPV) Systems in Low-Energy Dwellings. In: Journal of Green Building, v. 5, n. 4 (November 2010).

    https://doi.org/10.3992/jgb.5.4.137

  5. Saelens, D. / Parys, W. / Roofthooft, J. / de la Torre, A. Tablada (2013): Assessment of approaches for modeling louver shading devices in building energy simulation programs. In: Energy and Buildings, v. 60 (May 2013).

    https://doi.org/10.1016/j.enbuild.2012.10.056

  6. Wauman, B. / Breesch, H. / Saelens, D. (2013): Evaluation of the accuracy of the implementation of dynamic effects in the quasi steady-state calculation method for school buildings. In: Energy and Buildings, v. 65 (October 2013).

    https://doi.org/10.1016/j.enbuild.2013.05.046

  7. Saelens, D. / Parys, W. / Roofthooft, J. / de la Torre, A. Tablada (2014): Reprint of "Assessment of approaches for modeling louver shading devices in building energy simulation programs". In: Energy and Buildings, v. 68 (January 2014).

    https://doi.org/10.1016/j.enbuild.2013.11.031

  8. Reynders, G. / Diriken, J. / Saelens, D. (2014): Quality of grey-box models and identified parameters as function of the accuracy of input and observation signals. In: Energy and Buildings, v. 82 (October 2014).

    https://doi.org/10.1016/j.enbuild.2014.07.025

  9. Wauman, B. / Saelens, D. / Breesch, H. (2015): The definition of representative boundary conditions for Flemish schools for use in energy assessment methods. In: Energy and Buildings, v. 87 (January 2015).

    https://doi.org/10.1016/j.enbuild.2014.10.033

  10. Willems, S. / Saelens, D. / Heylighen, A. (2020): Comfort requirements versus lived experience: combining different research approaches to indoor environmental quality. In: Architectural Science Review, v. 63, n. 3-4 (April 2020).

    https://doi.org/10.1080/00038628.2019.1705754

  11. Reynders, G. / Nuytten, T. / Saelens, D. (2013): Potential of structural thermal mass for demand-side management in dwellings. In: Building and Environment, v. 64 (June 2013).

    https://doi.org/10.1016/j.buildenv.2013.03.010

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