The aim of the project is to analyze data from online
indoor climate monitoring of test buildings equipped with two different types
of novel decentralized ventilation systems.
The analysis will focus on indoor environmental conditions,
functionality of algorithms for demand controlled ventilation and energy use.
The ventilation systems as well as the online control and monitoring concept
have been developed within the RoomVent-Solutions project supported by the
Danish Energy Agency (EUDP).
Project will be divided into several parts:
Part 1: The project uses indoor climate sensors in every room of each
apartment. The sensors measure temperature, humidity, noise and CO2. You would
analyse the real data from apartments to determine the fresh airflow rates, the
typical occupancy schedule, the amount of water vapour produced and the typical
times that occupant open the windows. You would do this in Excel or a similar
tool, and the results would provide realistic input for simulations.
2: The project requires simulations of the apartments. You would use
architectural drawings, consultancy reports and photos to build up the
simulations in IDA-ICE or a similar software. The results from Part 1 would
serve as input for occupancy, vapour, infiltration, etc. The project partners
would provide performance data for the new installations. You would test the
simulations with several control strategies.
Part 3: The project team has programmed control strategies into the ventilation
systems. The systems would be ready for installation and testing in building
121B at DTU. You would observe the system and measure its performance to see if
it works before we implement the control strategies in the actual buildings.
Part 4: If time permits, you would analyse the data from the real
installations, which would include power consumption, temperatures, pressures
and efficiencies as well as the indoor climate data.
Knowledege of programs for data analysis - Matlab, R, advanced MS Excel, knowledge of IDA ICE