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A modelling approach to reduce the simulation time of building stock models

Rana Mahmoud (UGent) , Eline Himpe (UGent) , Marc Delghust (UGent) and Jelle Laverge (UGent)
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Abstract
Modelling of heating and cooling demandof the building stockis valuable for estimating thesizing of HVAC technologies. However,designer faces oversizing problemsas they rely on their experiencesor the use of single zone simulations. Multizone building stock models that take into consideration the interaction between the different zones’profiles, and building envelope propertiesto obtain reliable estimations is needed.Simulations of large amount of building stock models require extensive computationand simulationtime.Therefore, we developed multi-zone generic modelling approach that allows modelling and simulationof large population of building stock casesin shorter time.The approach relies on splitting the building into modules that are modelled separately and of which the simulation results are aggregated afterwards.This paper investigates the strengths and limitations of the proposed approach on a selected case-study building by comparing it to classical modelling approaches.Areduction of 80% in simulation time was achieved. The hourlyheating and cooling demands for the proposedand classical approachesreached alowest deviation of1.4% for buildings with higherU-values, and one set temperature.

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MLA
Mahmoud, Rana, et al. “A Modelling Approach to Reduce the Simulation Time of Building Stock Models.” Proceedings of Building Simulation 2019 : 16th Conference of IBPSA, edited by V. Corrado et al., vol. 16, International Building Performance Association (IBPSA), 2020, pp. 1491–97, doi:10.26868/25222708.2019.210860.
APA
Mahmoud, R., Himpe, E., Delghust, M., & Laverge, J. (2020). A modelling approach to reduce the simulation time of building stock models. In V. Corrado, E. Fabrizio, A. Gasparella, & F. Patuzzi (Eds.), Proceedings of Building Simulation 2019 : 16th Conference of IBPSA (Vol. 16, pp. 1491–1497). Rome, Italy: International Building Performance Association (IBPSA). https://doi.org/10.26868/25222708.2019.210860
Chicago author-date
Mahmoud, Rana, Eline Himpe, Marc Delghust, and Jelle Laverge. 2020. “A Modelling Approach to Reduce the Simulation Time of Building Stock Models.” In Proceedings of Building Simulation 2019 : 16th Conference of IBPSA, edited by V. Corrado, E. Fabrizio, A. Gasparella, and F. Patuzzi, 16:1491–97. International Building Performance Association (IBPSA). https://doi.org/10.26868/25222708.2019.210860.
Chicago author-date (all authors)
Mahmoud, Rana, Eline Himpe, Marc Delghust, and Jelle Laverge. 2020. “A Modelling Approach to Reduce the Simulation Time of Building Stock Models.” In Proceedings of Building Simulation 2019 : 16th Conference of IBPSA, ed by. V. Corrado, E. Fabrizio, A. Gasparella, and F. Patuzzi, 16:1491–1497. International Building Performance Association (IBPSA). doi:10.26868/25222708.2019.210860.
Vancouver
1.
Mahmoud R, Himpe E, Delghust M, Laverge J. A modelling approach to reduce the simulation time of building stock models. In: Corrado V, Fabrizio E, Gasparella A, Patuzzi F, editors. Proceedings of Building Simulation 2019 : 16th Conference of IBPSA. International Building Performance Association (IBPSA); 2020. p. 1491–7.
IEEE
[1]
R. Mahmoud, E. Himpe, M. Delghust, and J. Laverge, “A modelling approach to reduce the simulation time of building stock models,” in Proceedings of Building Simulation 2019 : 16th Conference of IBPSA, Rome, Italy, 2020, vol. 16, pp. 1491–1497.
@inproceedings{8668800,
  abstract     = {Modelling of heating and cooling demandof the building stockis  valuable  for estimating  thesizing of HVAC technologies.    However,designer    faces oversizing problemsas they rely  on  their  experiencesor  the  use  of single zone simulations. Multizone building stock models that  take  into  consideration the  interaction  between  the different zones’profiles, and building envelope propertiesto  obtain  reliable  estimations  is  needed.Simulations  of large amount of building stock models require extensive computationand   simulationtime.Therefore,   we developed multi-zone generic  modelling  approach  that allows modelling  and simulationof  large  population  of building stock casesin shorter time.The approach relies on  splitting  the  building  into  modules  that  are  modelled separately   and   of   which   the   simulation   results   are aggregated   afterwards.This   paper   investigates   the strengths  and  limitations  of  the  proposed  approach on  a selected case-study building by comparing it to classical modelling approaches.Areduction of 80% in simulation time   was  achieved.  The  hourlyheating  and  cooling demands   for   the proposedand classical approachesreached  alowest deviation of1.4% for  buildings  with higherU-values, and one set temperature.},
  author       = {Mahmoud, Rana and Himpe, Eline and Delghust, Marc and Laverge, Jelle},
  booktitle    = {Proceedings of Building Simulation 2019 : 16th Conference of IBPSA},
  editor       = {Corrado, V. and Fabrizio, E. and Gasparella, A. and Patuzzi, F.},
  isbn         = {9781775052012},
  issn         = {2522-2708},
  language     = {eng},
  location     = {Rome, Italy},
  pages        = {1491--1497},
  publisher    = {International Building Performance Association (IBPSA)},
  title        = {A modelling approach to reduce the simulation time of building stock models},
  url          = {http://dx.doi.org/10.26868/25222708.2019.210860},
  volume       = {16},
  year         = {2020},
}

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