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Grey-Box Building Models for Model Order Reduction and Control

På svenska

Author

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

Editor

  • Hubertus Tummescheit
  • Karl-Erik Årzén

Summary, in English

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.

Publishing year

2014

Language

English

Pages

657-666

Publication/Series

Proceedings of the 10th International Modelica Conference

Document type

Conference paper

Publisher

Linköping University Electronic Press

Topic

  • Control Engineering

Conference name

10th International Modelica Conference

Conference date

2014-03-10 - 2014-03-12

Conference place

Lund, Sweden

Status

Published

Project

  • LCCC
  • Numerical and Symbolic Algorithms for Dynamic Optimization

Research group

  • LCCC

ISBN/ISSN/Other

  • ISBN: 978-91-7519-380-9