Grey-Box Building Models for Model Order Reduction and Control
(2014) 10th International Modelica Conference p.657-666- 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... (More)
- 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. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4281025
- author
- De Coninck, Roel ; Magnusson, Fredrik LU ; Åkesson, Johan LU and Helsen, Lieve
- organization
- publishing date
- 2014
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Proceedings of the 10th International Modelica Conference
- editor
- Tummescheit, Hubertus and Årzén, Karl-Erik
- pages
- 657 - 666
- publisher
- Linköping University Electronic Press
- conference name
- 10th International Modelica Conference
- conference location
- Lund, Sweden
- conference dates
- 2014-03-10 - 2014-03-12
- ISBN
- 978-91-7519-380-9
- project
- LCCC
- Numerical and Symbolic Algorithms for Dynamic Optimization
- language
- English
- LU publication?
- yes
- id
- 8a473a7b-7214-4512-8a76-87e86689e9fe (old id 4281025)
- date added to LUP
- 2016-04-04 13:52:31
- date last changed
- 2023-04-18 17:57:37
@inproceedings{8a473a7b-7214-4512-8a76-87e86689e9fe, 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 Magnusson, Fredrik and Åkesson, Johan and Helsen, Lieve}}, booktitle = {{Proceedings of the 10th International Modelica Conference}}, editor = {{Tummescheit, Hubertus and Årzén, Karl-Erik}}, isbn = {{978-91-7519-380-9}}, language = {{eng}}, pages = {{657--666}}, publisher = {{Linköping University Electronic Press}}, title = {{Grey-Box Building Models for Model Order Reduction and Control}}, url = {{https://lup.lub.lu.se/search/files/7670597/4281036.pdf}}, year = {{2014}}, }