IAQ-prediction in multi-zone reduced order BES-models

Abstract:The subject of this paper has been to investigate the ability to accurately predict the indoor climate (i.e., indoor air temperature, relative humidity and CO2-concentration) in inhabited dwellings utilising reduced order dynamic building energy simulation models (in Dymola) in combination with high resolution measurement data of case study dwellings. A multi-zone dynamic building energy modelling approach has been applied in order to be able to perform room-level indoor climate calculations. The thermal heat balance model, composed with Dymola IDEAS components, has been expanded with buoyancy driven air flow components (validated with CONTAM) to allow for additional dynamic calculations of moisture and trace substance concentrations as well as indoor/outdoor and inter-zonal airflow predictions to be calculated. A manual multi-level calibration analysis has been performed, utilising BESmodel evaluation metrics, in order to measure the building model calibration performance for common indoor air parameters.

ISBN:9781713823605

Publication year:2021

Accessibility:Closed