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Grey-Box Building Models for Model Order Reduction and Control

De Coninck, Roel ; Magnusson, Fredrik LU ; Åkesson, Johan LU and Helsen, Lieve (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:
author
; ; and
organization
publishing date
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
2019-12-09 15:01:29
@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},
}