Design and perform tests in real buildings to demonstrate an automatic CO2 sensor fault detection method
CO2-based demand control ventilation (DCV) maintains the CO2 concentration in the rooms within an appropriate range by adjusting supply air flowrate. If the CO2 sensor is faulty, indoor air quality and energy saving cannot be guaranteed. An automatic CO2 sensor fault detection, diagnosis and self-correction method has been proposed in our research.
General project problem description
This project aims to make some filed tests in real buildings to demonstrate this method. Methodology; The basic idea is to get benchmark values of CO2 sensors by CO2-uniform indoor environments in buildings. One way is to recycle air without any outdoor air for 1-2 hours, i.e. 100% return air ventilation. All CO2 sensors should have a same reading in the end. Another way is to supply fresh air into buildings without recycling air for about 1-2 hours, i.e. full outdoor air ventilation. Readings of all the CO2 sensors should equal to the CO2 concentration of the ambient air in the end. Faulty sensors are found if their readings are different from benchmark values.
Design of experiments; The demonstration will be made in a school building in The Hague. CO2-based DCV is applied to control the supply air of each room within the range of 1000 ppm and 1200 ppm. The historical data will be used to find out faulty sensors.
Expected Outputs; The demonstration will be a part of a SCI journal paper if the outputs are positive. Participants will be co-authors if the contributions are significant. It is expected that the participants will learn a lot about the real HVAC system and system commissioning.