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Estimation of load duration curves from general building data in the building stock using dynamic BES-models

Rana Mahmoud (UGent) , Mohsen Sharifi (UGent) , Eline Himpe (UGent) , Marc Delghust (UGent) and Jelle Laverge (UGent)
Author
Organization
Project
MPC-. GT (Model Predictive Control and Innovative System Integration of GEOTABS;-) in Hybrid Low Grade Thermal Energy Systems - Hybrid MPC GEOTABS)
Abstract
Modelling and simulation of building stock is a valuable source of information for investigating the feasibility of implementing new heating and cooling system technologies. Some of these technologies have oversizing problem as the designers rely on their experience and previous knowledge. Building stock modelling can provide a solution for more accurate designing process. However, some of the current building stock modelling methods uses a representative building which can exclude whole ranges of the different combinations of building geometry and physical properties that can be crucial for heating and cooling load estimation. Therefore, we developed a methodology that allows faster and accurate building energy simulation (BES) multizone models from general building information of the whole building stock that is able to estimate load duration. This will help engineers and designers to decide on the system sizing at the early design stages. This paper presents first, the process of generating dynamically heating and cooling load duration curves by using BES-models from general geometrical data of the building stock. Second, we examine the process on a sample of the building stock where geometrical and physical parameters were varied. The workflow of the process has worked successfully, generating heating and cooling duration curves for 14 case studies. We observed that heating and cooling loads are highly influenced by different combinations of parameters. High glazing percentage affects highly the heat losses, thus more heating loads. Besides, for a west oriented building, the high glazing percentage combined with high internal gains can be the reason for significant cooling loads. In next steps, we are going to extend the current methodology to cover different building typologies within different climates across Europe.
Keywords
building stock modelling, BES, dymola, modelica, building stock, GEOTABS, Horizon 2020, European Union (EU), 723649, MPC-.GT

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Citation

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MLA
Mahmoud, Rana, et al. “Estimation of Load Duration Curves from General Building Data in the Building Stock Using Dynamic BES-Models.” E3S Web of Conferences, edited by S.I Tanabe et al., vol. 111, EDP Sciences, 2019.
APA
Mahmoud, R., Sharifi, M., Himpe, E., Delghust, M., & Laverge, J. (2019). Estimation of load duration curves from general building data in the building stock using dynamic BES-models. In S. . Tanabe, H. Zhang, J. Kurnitski, M. C. Gameiro da Silva, I. Nastase, P. Wargocki, … C. Inard (Eds.), E3S Web of Conferences (Vol. 111). France: EDP Sciences.
Chicago author-date
Mahmoud, Rana, Mohsen Sharifi, Eline Himpe, Marc Delghust, and Jelle Laverge. 2019. “Estimation of Load Duration Curves from General Building Data in the Building Stock Using Dynamic BES-Models.” In E3S Web of Conferences, edited by S.I Tanabe, H. Zhang, J. Kurnitski, M.C. Gameiro da Silva, I. Nastase, P. Wargocki, G. Cao, L. Mazzarela, and C. Inard. Vol. 111. France: EDP Sciences.
Chicago author-date (all authors)
Mahmoud, Rana, Mohsen Sharifi, Eline Himpe, Marc Delghust, and Jelle Laverge. 2019. “Estimation of Load Duration Curves from General Building Data in the Building Stock Using Dynamic BES-Models.” In E3S Web of Conferences, ed by. S.I Tanabe, H. Zhang, J. Kurnitski, M.C. Gameiro da Silva, I. Nastase, P. Wargocki, G. Cao, L. Mazzarela, and C. Inard. Vol. 111. France: EDP Sciences.
Vancouver
1.
Mahmoud R, Sharifi M, Himpe E, Delghust M, Laverge J. Estimation of load duration curves from general building data in the building stock using dynamic BES-models. In: Tanabe S., Zhang H, Kurnitski J, Gameiro da Silva MC, Nastase I, Wargocki P, et al., editors. E3S Web of Conferences. France: EDP Sciences; 2019.
IEEE
[1]
R. Mahmoud, M. Sharifi, E. Himpe, M. Delghust, and J. Laverge, “Estimation of load duration curves from general building data in the building stock using dynamic BES-models,” in E3S Web of Conferences, 2019, vol. 111.
@inproceedings{8635397,
  abstract     = {Modelling and simulation of building stock is a valuable source of information for investigating the feasibility of implementing new heating and cooling system technologies. Some of these technologies have oversizing problem as the designers rely on their experience and previous knowledge. Building stock modelling can provide a solution for more accurate designing process. However, some of the current building stock modelling methods uses a representative building which can exclude whole ranges of the different combinations of building geometry and physical properties that can be crucial for heating and cooling load estimation. Therefore, we developed a methodology that allows faster and accurate building energy simulation (BES) multizone models from general building information of the whole building stock that is able to estimate load duration. This will help engineers and designers to decide on the system sizing at the early design stages. This paper presents first, the process of generating dynamically heating and cooling load duration curves by using BES-models from general geometrical data of the building stock. Second, we examine the process on a sample of the building stock where geometrical and physical parameters were varied. The workflow of the process has worked successfully, generating heating and cooling duration curves for 14 case studies. We observed that heating and cooling loads are highly influenced by different combinations of parameters. High glazing percentage affects highly the heat losses, thus more heating loads. Besides, for a west oriented building, the high glazing percentage combined with high internal gains can be the reason for significant cooling loads. In next steps, we are going to extend the current methodology to cover different building typologies within different climates across Europe.},
  articleno    = {01078},
  author       = {Mahmoud, Rana and Sharifi, Mohsen and Himpe, Eline and Delghust, Marc and Laverge, Jelle},
  booktitle    = {E3S Web of Conferences},
  editor       = {Tanabe, S.I and Zhang, H. and Kurnitski, J. and Gameiro da Silva, M.C. and Nastase, I. and Wargocki, P. and Cao, G. and Mazzarela, L. and Inard, C.},
  issn         = {2267-1242},
  keywords     = {building stock modelling,BES,dymola,modelica,building stock,GEOTABS,Horizon 2020,European Union (EU),723649,MPC-.GT},
  language     = {eng},
  pages        = {8},
  publisher    = {EDP Sciences},
  title        = {Estimation of load duration curves from general building data in the building stock using dynamic BES-models},
  url          = {http://dx.doi.org/10.1051/e3sconf/201911101078},
  volume       = {111},
  year         = {2019},
}

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