Grey-Box Building Models for Model Order Reduction and Control

Roel De Coninck; Fredrik Magnusson; Johan Åkesson; Lieve Helsen

Grey-Box Building Models for Model Order Reduction and Control

Roel De Coninck, Fredrik Magnusson, Johan Åkesson, Lieve Helsen

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

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Abstract

As automatic sensing and Information and Communication Technology (ICT) get cheaper, building monitoring data is easier to obtain. The abundance of data leads to new opportunities in the context of energy efficiency in buildings. This paper describes ongoing developments and first results of data-driven grey-box modelling for buildings. A Python toolbox is developed based on a Modelica library with thermal building and Heating, Ventilation and Air-Conditioning (HVAC) models and the optimisation framework in JModelica.org. The tool chain facilitates and automates the different steps in the system identification procedure, like data handling, model selection, parameter estimation and validation. The results of a system identification and parameter estimation for a single-family dwelling are presented.

Original language	English
Title of host publication	Proceedings of the 10th International Modelica Conference
Editors	Hubertus Tummescheit, Karl-Erik Årzén
Publisher	Linköping University Electronic Press
Pages	657-666
ISBN (Print)	978-91-7519-380-9
Publication status	Published - 2014
Event	10th International Modelica Conference - Lund, Sweden Duration: 2014 Mar 10 → 2014 Mar 12

Conference

Conference	10th International Modelica Conference
Country/Territory	Sweden
City	Lund
Period	2014/03/10 → 2014/03/12

Subject classification (UKÄ)

Control Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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ArticleModelicaConf2014

Numerical and Symbolic Algorithms for Dynamic Optimization
Magnusson, F. (Researcher), Åkesson, J. (Researcher), Holmqvist, A. (Researcher), Berntorp, K. (Researcher) & Andersson, C. (Researcher)
2012/02/01 → 2017/02/01
Project: Research
LCCC
Holmqvist, A. (Researcher), Andersson, N. (Researcher), Cervin, A. (Researcher), Mannesson, A. (Researcher), Gattami, A. (Researcher), Ghulchak, A. (Researcher), Papadopoulos, A. V. (Researcher), Rantzer, A. (Researcher), Robertsson, A. (Researcher), Sootla, A. (Researcher), THEORIN, A. (Researcher), Bernhardsson, B. (Researcher), Olofsson, B. (Researcher), Wittenmark, B. (Researcher), Grussler, C. (Researcher), Johnsson, C. (Researcher), MADJIDIAN, D. (Researcher), Johannesson, E. (Researcher), Magnusson, F. (Researcher), Ståhl, F. (Researcher), Como, G. (Researcher), Chasparis, G. (Researcher), Turesson, G. (Researcher), Dressler, I. (Researcher), Åkesson, J. (Researcher), Cho, J. H. (Researcher), Årzén, K.-E. (Researcher), Åström, K. J. (Researcher), Sou, K. C. (Researcher), Mårtensson, K. (Researcher), Berntorp, K. (Researcher), Soltesz, K. (Researcher), Lessard, L. (Researcher), Hast, M. (Researcher), Rönn, M. (Researcher), Ansbjerg Kjær, M. (Researcher), Maggio, M. (Researcher), Kristalny, M. (Researcher), Garpinger, O. (Researcher), From, P. J. (Researcher), Larsson, P.-O. (Researcher), Giselsson, P. (Researcher), Johansson, R. (Researcher), Hägglund, T. (Researcher), Vladimerou, V. (Researcher), Romero Segovia, V. (Researcher), Aurelius, A. (Researcher), Cedersjö, G. (Researcher), Bür, K. (Researcher), Dellkrantz, M. (Researcher), Du, M. (Researcher), Amani, P. (Researcher), Larsson, R. (Researcher), Tärneberg, W. (Research student), Li, Z. (Researcher), Yin, L. (Researcher), Tufvesson, F. (Researcher), Höst, S. (Researcher), Nilsson, B. (Researcher), Stenström, S. (Researcher), Andersson, J. A. (Researcher), Diehl, S. (Researcher), Dürango, J. (Researcher), Ghazaei Ardakani, M. (Researcher), Forsberg, P.-O. (Researcher), Bengtsson, F. (Researcher), Jörntell, H. (Researcher), Arévalo, C. (Researcher), Führer, C. (Researcher), Andersson, C. (Researcher), Mohammadi, F. (Researcher), Ödling, P. (Researcher), Andersson, M. (Researcher), Kihl, M. (Researcher) & Tunestål, P. (Researcher)
2008/07/01 → 2018/06/30
Project: Research

Cite this

@inproceedings{8a473a7b721445128a7687e86689e9fe,

title = "Grey-Box Building Models for Model Order Reduction and Control",

abstract = "As automatic sensing and Information and Communication Technology (ICT) get cheaper, building monitoring data is easier to obtain. The abundance of data leads to new opportunities in the context of energy efficiency in buildings. This paper describes ongoing developments and first results of data-driven grey-box modelling for buildings. A Python toolbox is developed based on a Modelica library with thermal building and Heating, Ventilation and Air-Conditioning (HVAC) models and the optimisation framework in JModelica.org. The tool chain facilitates and automates the different steps in the system identification procedure, like data handling, model selection, parameter estimation and validation. The results of a system identification and parameter estimation for a single-family dwelling are presented.",

author = "{De Coninck}, Roel and Fredrik Magnusson and Johan {\AA}kesson and Lieve Helsen",

year = "2014",

language = "English",

isbn = "978-91-7519-380-9",

pages = "657--666",

editor = "Hubertus Tummescheit and Karl-Erik {\AA}rz{\'e}n",

booktitle = "Proceedings of the 10th International Modelica Conference",

publisher = "Link{\"o}ping University Electronic Press",

note = "10th International Modelica Conference ; Conference date: 10-03-2014 Through 12-03-2014",

}

Grey-Box Building Models for Model Order Reduction and Control. / De Coninck, Roel; Magnusson, Fredrik; Åkesson, Johan et al.
Proceedings of the 10th International Modelica Conference. ed. / Hubertus Tummescheit; Karl-Erik Årzén. Linköping University Electronic Press, 2014. p. 657-666.

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

TY - GEN

T1 - Grey-Box Building Models for Model Order Reduction and Control

AU - De Coninck, Roel

AU - Magnusson, Fredrik

AU - Åkesson, Johan

AU - Helsen, Lieve

PY - 2014

Y1 - 2014

N2 - As automatic sensing and Information and Communication Technology (ICT) get cheaper, building monitoring data is easier to obtain. The abundance of data leads to new opportunities in the context of energy efficiency in buildings. This paper describes ongoing developments and first results of data-driven grey-box modelling for buildings. A Python toolbox is developed based on a Modelica library with thermal building and Heating, Ventilation and Air-Conditioning (HVAC) models and the optimisation framework in JModelica.org. The tool chain facilitates and automates the different steps in the system identification procedure, like data handling, model selection, parameter estimation and validation. The results of a system identification and parameter estimation for a single-family dwelling are presented.

AB - As automatic sensing and Information and Communication Technology (ICT) get cheaper, building monitoring data is easier to obtain. The abundance of data leads to new opportunities in the context of energy efficiency in buildings. This paper describes ongoing developments and first results of data-driven grey-box modelling for buildings. A Python toolbox is developed based on a Modelica library with thermal building and Heating, Ventilation and Air-Conditioning (HVAC) models and the optimisation framework in JModelica.org. The tool chain facilitates and automates the different steps in the system identification procedure, like data handling, model selection, parameter estimation and validation. The results of a system identification and parameter estimation for a single-family dwelling are presented.

M3 - Paper in conference proceeding

SN - 978-91-7519-380-9

SP - 657

EP - 666

BT - Proceedings of the 10th International Modelica Conference

A2 - Tummescheit, Hubertus

A2 - Årzén, Karl-Erik

PB - Linköping University Electronic Press

T2 - 10th International Modelica Conference

Y2 - 10 March 2014 through 12 March 2014

ER -

Grey-Box Building Models for Model Order Reduction and Control

Abstract

Conference

Subject classification (UKÄ)

UN SDGs

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Projects

Numerical and Symbolic Algorithms for Dynamic Optimization

LCCC

Cite this