Investigation of the model structure for low-order grey-box modelling of residential buildings

Xingji Yu*, Laurent Georges, Michael Dahl Knudsen, Igor Sartori, Lars Imsland

*Corresponding author for this work

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

Abstract

Model Predictive Control (MPC) is a key technology to activate the building energy flexibility. A reliable controlbased model should be developed for each specific building. The structure of grey-box models is usually based on the physical knowledge of the building. Firstly, it is not certain that this information will be available for all buildings, especially for small residential buildings. Secondly, developing a specific model structure for each building is most probably not affordable. Therefore, the paper investigates the dependency on the model structure to create reliable control-oriented model for the thermal mass of residential buildings. Using a test case, the performance of grey-box models based on the physical knowledge of the building are compared to grey-box models based on a generic structure taken from building standards (EN 13790 and VDI 6007) as well as black-box models where no knowledge of the building is required.

Original languageEnglish
Title of host publication16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019
EditorsVincenzo Corrado, Enrico Fabrizio, Andrea Gasparella, Francesco Patuzzi
Number of pages8
PublisherInternational Building Performance Simulation Association
Publication date2019
Pages5076-5083
ISBN (Electronic)9781713809418
Publication statusPublished - 2019
Event16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019 - Rome, Italy
Duration: 2 Sept 20194 Sept 2019

Conference

Conference16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019
Country/TerritoryItaly
CityRome
Period02/09/201904/09/2019
SeriesBuilding Simulation Conference Proceedings
Volume7
ISSN2522-2708

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