A research consortium being coordinated at Saarland University is
developing a novel sensor system for monitoring airborne contaminants
that will provide high-quality indoor air without the energy losses
typically associated with ventilation.
Energy consumption levels can be halved as a result. Professor Andreas
Schütze is an expert in gas sensor technology at Saarland University and
is the coordinator of the European research project 'SENSIndoor'.
Researchers plan to develop a cost-effective, intelligent ventilation system that will automatically supply fresh air to rooms and indoor spaces as and when needed. The gas sensors detect air contamination due to the presence of volatile organic compounds (VOCs). Using the measurement data and information on when and how rooms are used, the system will be able to adjust the intensity and duration of ventilation. The project is being supported by the EU through a grant worth €3.4 million.
If windows are kept closed, indoor air can become a very unhealthy mix of chemicals, such as formaldehyde from furniture, solvents from carpet adhesives, chemical vapors from cleaning agents, benzene, xylene, and numerous others. This is particularly true when buildings have been well insulated and sealed to reduce energy costs. But what is good in terms of heat loss and energy efficiency, may not be so good for the health of those who live and work there. Many volatile organic compounds are carcinogens and represent a health hazard particularly to children and older people. 'If rooms are properly ventilated health hazards can be avoided. Unfortunately, our noses are usually unable to detect the presence of such contaminants, even when they are present at levels hazardous to health,' explains project coordinator Andreas Schütze. Too much ventilation also results in high levels of heat loss, which has a negative cumulative effect on energy costs and the environment.
'The sensor system that we are currently developing will maintain high-quality indoor air with the lowest possible contaminant levels while ensuring energy efficiency by means of automatic, customized ventilation,' explains Professor Schütze. 'The health hazards associated with high contaminant concentrations can therefore be avoided while at the same time reducing energy consumption in buildings by about fifty percent, which is highly significant in terms of existing carbon emission targets,' says Schütze. These highly sensitive artificial sense organs can reliably detect gases of all kinds, from toxic carbon monoxide to carcinogenic organic compounds, and can determine their concentrations quantitatively. Even the smallest quantities of trace gases do not go undetected by the sensors. The novel metal oxide semiconductor (MOS) gas sensors and so-called gas-sensitive field effect sensors, which Schütze has been developing in collaboration with partners in Sweden, Finland and Switzerland, are able to detect air contaminants such as formaldehyde, benzene or xylene at concentrations well below one in a million. However, in order to be used for the proposed application, the sensitivity of the monitoring system will need to be improved even further. The sensor system therefore collects molecules in the air over a known period of time
and then quantitatively measures the amount collected -- an approach which significantly reduces the system's detection threshold.
'If the concentration of a particular molecule is above a specified limit, fresh air is automatically introduced to modify the composition of the air and re-establish good air quality. If all of the rooms in a building are equipped with our sensors and if the sensors are connected to an intelligent ventilation control unit, the system can ventilate each room in a way that has been optimized for the specific use to which that room is put. For example, if there is a problem with contaminants in the indoor air of a school building, classroom ventilation can be adapted to fit in with teaching periods and break times,' explains Schütze. The researchers within the SENSIndoor project will therefore be studying and evaluating a variety of ventilation scenarios in schools, office buildings, homes and residential buildings. The objective is to learn more about ventilation patterns and requirements in these buildings so that the system can provide optimized ventilation under any given conditions.
Researchers plan to develop a cost-effective, intelligent ventilation system that will automatically supply fresh air to rooms and indoor spaces as and when needed. The gas sensors detect air contamination due to the presence of volatile organic compounds (VOCs). Using the measurement data and information on when and how rooms are used, the system will be able to adjust the intensity and duration of ventilation. The project is being supported by the EU through a grant worth €3.4 million.
If windows are kept closed, indoor air can become a very unhealthy mix of chemicals, such as formaldehyde from furniture, solvents from carpet adhesives, chemical vapors from cleaning agents, benzene, xylene, and numerous others. This is particularly true when buildings have been well insulated and sealed to reduce energy costs. But what is good in terms of heat loss and energy efficiency, may not be so good for the health of those who live and work there. Many volatile organic compounds are carcinogens and represent a health hazard particularly to children and older people. 'If rooms are properly ventilated health hazards can be avoided. Unfortunately, our noses are usually unable to detect the presence of such contaminants, even when they are present at levels hazardous to health,' explains project coordinator Andreas Schütze. Too much ventilation also results in high levels of heat loss, which has a negative cumulative effect on energy costs and the environment.
'The sensor system that we are currently developing will maintain high-quality indoor air with the lowest possible contaminant levels while ensuring energy efficiency by means of automatic, customized ventilation,' explains Professor Schütze. 'The health hazards associated with high contaminant concentrations can therefore be avoided while at the same time reducing energy consumption in buildings by about fifty percent, which is highly significant in terms of existing carbon emission targets,' says Schütze. These highly sensitive artificial sense organs can reliably detect gases of all kinds, from toxic carbon monoxide to carcinogenic organic compounds, and can determine their concentrations quantitatively. Even the smallest quantities of trace gases do not go undetected by the sensors. The novel metal oxide semiconductor (MOS) gas sensors and so-called gas-sensitive field effect sensors, which Schütze has been developing in collaboration with partners in Sweden, Finland and Switzerland, are able to detect air contaminants such as formaldehyde, benzene or xylene at concentrations well below one in a million. However, in order to be used for the proposed application, the sensitivity of the monitoring system will need to be improved even further. The sensor system therefore collects molecules in the air over a known period of time
and then quantitatively measures the amount collected -- an approach which significantly reduces the system's detection threshold.
'If the concentration of a particular molecule is above a specified limit, fresh air is automatically introduced to modify the composition of the air and re-establish good air quality. If all of the rooms in a building are equipped with our sensors and if the sensors are connected to an intelligent ventilation control unit, the system can ventilate each room in a way that has been optimized for the specific use to which that room is put. For example, if there is a problem with contaminants in the indoor air of a school building, classroom ventilation can be adapted to fit in with teaching periods and break times,' explains Schütze. The researchers within the SENSIndoor project will therefore be studying and evaluating a variety of ventilation scenarios in schools, office buildings, homes and residential buildings. The objective is to learn more about ventilation patterns and requirements in these buildings so that the system can provide optimized ventilation under any given conditions.
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