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Title: Automated identification of grey-box controller models for monitored buildings with JModelica.org
Authors: De Coninck, Roel
Helsen, Lieve
Issue Date: Mar-2015
Conference: Workshop on Optimal Control of Thermal Systems in Buildings using Modelica location:University of Freiburg date:23 - 24 March 2015
Abstract: One of the current bottlenecks in the implementation of MPC in buildings is the required controller model. Each building needs its own model of which the development currently involves a lot of manual work. A solution can be found in data-driven modelling techniques.
This presentation describes the development and validation of a grey-box modelling toolbox for buildings.
The 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 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.
This presentation will cover the methodological aspects of the toolbox and discuss the resulting models and their validation for a single-family dwelling in Munich (Germany) and an office building in Brussels (Belgium).
Acknowledgment: this contribution is based on the article "Development and validation of grey-box building models for forecasting and control", in review for publication in the Journal of Building Performance Simulation (submitted on 24th of December 2014).
Publication status: published
KU Leuven publication type: IMa
Appears in Collections:Applied Mechanics and Energy Conversion Section

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