Description

This paper focuses on a thermal simulation model of office rooms and experiments necessary to adequately estimate the required model parameters. For this, we investigated step responses for different parameters, e.g. the set point temperatures of the façade ventilation units and the concrete core activation, in the E.ON ERC Main 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 the user with feedback regarding the historical data, can also estimate the impacts of user interactions on the future room temperature. The simulation is accurate enough as to 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