Full Description

This paper focuses on a thermal simulation model of office rooms and experiments necessary to adequately estimate the required model parameters. For this, weinvestigated step responses for different parameters, e.g. the set point temperatures of the faade ventilation units and the concrete core activation, in the E.ON ERCMain building, to enable predictive modelling of the temperature in the office rooms. This enables us to build a user-interface, which in addition to providing theuser with feedback regarding the historical data, can also estimate the impacts of user interactions on the future room temperature. The simulation is accurate enough asto provide the occupant with an estimate on when or whether their desired temperature can be reached on that day.

Product Details

Published: 2022 Number of Pages: 8 Units of Measure: Dual File Size: 1 file , 1.1 MB Product Code(s): D-IAQ2020-C2-C12 Note: This product is unavailable in Russia, Belarus