Toolbox for development and validation of grey-box building models for forecasting and control
Autor: | Roel De Coninck, Fredrik Magnusson, Lieve Helsen, Johan Åkesson |
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Jazyk: | angličtina |
Rok vydání: | 2016 |
Předmět: |
Modelica
Computer science Group method of data handling 020209 energy 02 engineering and technology computer.software_genre Toolchain Architecture 0202 electrical engineering electronic engineering information engineering computer.programming_language validation grey-box models Model selection System identification Building and Construction Python (programming language) Control Engineering Toolbox Computer Science Applications collocation method Modeling and Simulation Data mining parameter estimation computer Efficient energy use |
Zdroj: | Journal of Building Performance Simulation, Taylor & Francis; 9(3), pp 288-303 (2016) |
ISSN: | 1940-1507 |
Popis: | As automatic sensing and information and communication technology get cheaper, building monitoring data becomes easier to obtain. The availability of data leads to new opportunities in the context of energy efficiency in buildings. This paper describes the development and validation of a data-driven grey-box modelling toolbox for buildings. The Python toolbox is based on a Modelica library with thermal building and Heating, Ventilation and Air-Conditioning models and the optimization framework in JModelica.org. The toolchain facilitates and automates the different steps in the system identification procedure, like data handling, model selection, parameter estimation and validation. To validate the methodology, different grey-box models are identified for a single-family dwelling with detailed monitoring data from two experiments. Validated models for forecasting and control can be identified. However, in one experiment the model performance is reduced, likely due to a poor information content in the identification data set. ispartof: Journal of Building Performance Simulation vol:9 issue:3 pages:288-303 status: published |
Databáze: | OpenAIRE |
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