A novel model based approach of an integrated ventilation and heating model for monitoring and control

A novel model based approach of an integrated ventilation and heating model for monitoring and control

Borsboom, W.A.
Kornaat, W.
van der Linden, R.
Eslami Mossallam, B.
de Gids, W.

2022

Control of HVAC systems may reduce congestion of the electricity grid on district level by shifting energy demand of buildings and increase the self-consumption of local photovoltaic energy. To achieve an optimal control of ventilation, occupant behaviour should be taken into account. To describe occupant behaviour, usually black box models are used and typically need large amounts of high quality training data. Alternatively, use of physical relations allows for a good predictive power requiring less training data. TNO has developed a novel hybrid modelling approach: SirinE, combining data driven occupancy models with physics models including HVAC component models, a ventilation model and a heat transfer model. The SirinE model is calibrated with standardized monitor data. The SirinE simulation is an integrated modelling environment, enabling calibration of the parameters of both the ventilation and the heat transfer model to a real building. This paper focusses on the AirMaps ventilation model, and the results are compared with monitoring data of a field test of a dwelling.

Model predictive control
Air handling unit
Hybrid building models
Energy performance of building
Ventilation
Buildings and Infrastructures
2015 Urbanisation

http://resolver.tudelft.nl/uuid:e81a2f6d-b2d7-42be-b02a-195042d4fb59

978122

TNO 2022 P12167

TNO

Conference paper voor AIVC conferentie in Rotterdam op 5 en 6 oktober 2022, 1-11

conference paper