Investigation of the model structure for low-order grey-box modelling of residential buildings

Xingji Yu; Laurent Georges; Michael Dahl Knudsen; Igor Sartori; Lars Imsland

Investigation of the model structure for low-order grey-box modelling of residential buildings

Xingji Yu^*, Laurent Georges, Michael Dahl Knudsen, Igor Sartori, Lars Imsland

^*Corresponding author for this work

Research output: Contribution to book/anthology/report/proceeding › Article in proceedings › Research › peer-review

6 Citations (Scopus)

Abstract

Model Predictive Control (MPC) is a key technology to activate the building energy flexibility. A reliable controlbased model should be developed for each specific building. The structure of grey-box models is usually based on the physical knowledge of the building. Firstly, it is not certain that this information will be available for all buildings, especially for small residential buildings. Secondly, developing a specific model structure for each building is most probably not affordable. Therefore, the paper investigates the dependency on the model structure to create reliable control-oriented model for the thermal mass of residential buildings. Using a test case, the performance of grey-box models based on the physical knowledge of the building are compared to grey-box models based on a generic structure taken from building standards (EN 13790 and VDI 6007) as well as black-box models where no knowledge of the building is required.

Original language	English
Title of host publication	16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019
Editors	Vincenzo Corrado, Enrico Fabrizio, Andrea Gasparella, Francesco Patuzzi
Number of pages	8
Publisher	International Building Performance Simulation Association
Publication date	2019
Pages	5076-5083
ISBN (Electronic)	9781713809418
Publication status	Published - 2019
Event	16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019 - Rome, Italy Duration: 2 Sept 2019 → 4 Sept 2019

Conference

Conference	16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019
Country/Territory	Italy
City	Rome
Period	02/09/2019 → 04/09/2019

Series	Building Simulation Conference Proceedings
Volume	7
ISSN	2522-2708

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Yu, X., Georges, L., Knudsen, M. D., Sartori, I., & Imsland, L. (2019). Investigation of the model structure for low-order grey-box modelling of residential buildings. In V. Corrado, E. Fabrizio, A. Gasparella, & F. Patuzzi (Eds.), 16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019 (pp. 5076-5083). International Building Performance Simulation Association.

Yu, Xingji ; Georges, Laurent ; Knudsen, Michael Dahl et al. / Investigation of the model structure for low-order grey-box modelling of residential buildings. 16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019. editor / Vincenzo Corrado ; Enrico Fabrizio ; Andrea Gasparella ; Francesco Patuzzi. International Building Performance Simulation Association, 2019. pp. 5076-5083 (Building Simulation Conference Proceedings, Vol. 7).

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title = "Investigation of the model structure for low-order grey-box modelling of residential buildings",

abstract = "Model Predictive Control (MPC) is a key technology to activate the building energy flexibility. A reliable controlbased model should be developed for each specific building. The structure of grey-box models is usually based on the physical knowledge of the building. Firstly, it is not certain that this information will be available for all buildings, especially for small residential buildings. Secondly, developing a specific model structure for each building is most probably not affordable. Therefore, the paper investigates the dependency on the model structure to create reliable control-oriented model for the thermal mass of residential buildings. Using a test case, the performance of grey-box models based on the physical knowledge of the building are compared to grey-box models based on a generic structure taken from building standards (EN 13790 and VDI 6007) as well as black-box models where no knowledge of the building is required.",

author = "Xingji Yu and Laurent Georges and Knudsen, {Michael Dahl} and Igor Sartori and Lars Imsland",

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series = "Building Simulation Conference Proceedings",

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Yu, X, Georges, L, Knudsen, MD, Sartori, I & Imsland, L 2019, Investigation of the model structure for low-order grey-box modelling of residential buildings. in V Corrado, E Fabrizio, A Gasparella & F Patuzzi (eds), 16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019. International Building Performance Simulation Association, Building Simulation Conference Proceedings, vol. 7, pp. 5076-5083, 16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019, Rome, Italy, 02/09/2019.

Investigation of the model structure for low-order grey-box modelling of residential buildings. / Yu, Xingji; Georges, Laurent; Knudsen, Michael Dahl et al.
16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019. ed. / Vincenzo Corrado; Enrico Fabrizio; Andrea Gasparella; Francesco Patuzzi. International Building Performance Simulation Association, 2019. p. 5076-5083 (Building Simulation Conference Proceedings, Vol. 7).

Research output: Contribution to book/anthology/report/proceeding › Article in proceedings › Research › peer-review

TY - GEN

T1 - Investigation of the model structure for low-order grey-box modelling of residential buildings

AU - Yu, Xingji

AU - Georges, Laurent

AU - Knudsen, Michael Dahl

AU - Sartori, Igor

AU - Imsland, Lars

PY - 2019

Y1 - 2019

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AB - Model Predictive Control (MPC) is a key technology to activate the building energy flexibility. A reliable controlbased model should be developed for each specific building. The structure of grey-box models is usually based on the physical knowledge of the building. Firstly, it is not certain that this information will be available for all buildings, especially for small residential buildings. Secondly, developing a specific model structure for each building is most probably not affordable. Therefore, the paper investigates the dependency on the model structure to create reliable control-oriented model for the thermal mass of residential buildings. Using a test case, the performance of grey-box models based on the physical knowledge of the building are compared to grey-box models based on a generic structure taken from building standards (EN 13790 and VDI 6007) as well as black-box models where no knowledge of the building is required.

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M3 - Article in proceedings

AN - SCOPUS:85107451269

T3 - Building Simulation Conference Proceedings

SP - 5076

EP - 5083

BT - 16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019

A2 - Corrado, Vincenzo

A2 - Fabrizio, Enrico

A2 - Gasparella, Andrea

A2 - Patuzzi, Francesco

PB - International Building Performance Simulation Association

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Yu X, Georges L, Knudsen MD, Sartori I, Imsland L. Investigation of the model structure for low-order grey-box modelling of residential buildings. In Corrado V, Fabrizio E, Gasparella A, Patuzzi F, editors, 16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019. International Building Performance Simulation Association. 2019. p. 5076-5083. (Building Simulation Conference Proceedings, Vol. 7).

Investigation of the model structure for low-order grey-box modelling of residential buildings

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