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Content archived on 2024-06-18

Nanotechnology based intelligent multi-SENsor System with selective pre-concentration for Indoor air quality control

Objective

SENSIndoor aims at the development of novel nanotechnology based intelligent sensor systems for selective monitoring of Volatile Organic Compounds (VOC) for demand controlled ventilation in indoor environments. Greatly reduced energy consumption without adverse health effects caused by the Sick Building Syndrome requires optimized ventilation schemes adapted to specific application scenarios like offices, hospitals, schools, nurseries or private homes. These must be based on selective detection and reliable quantification of relevant VOCs such as formaldehyde or benzene at ppb or even sub-ppb levels in complex environments. Priority scenarios and corresponding target gases and concentrations will be defined together with an advisory board representing health standard experts and major industrial stakeholders. The project addresses two sensor technologies with MEMS-based metal oxide semiconductor gas sensors and SiC-based gas sensitive field effect transistors. Gas sensitive layers for both sensor technologies are realized by Pulsed Laser Deposition for well-defined, stable and highly sensitive nanostructured layers. These are combined with gas pre-concentration to boost the sensitivity of the overall system. Dynamic operation of the gas sensor elements by temperature cycling combined with pattern recognition techniques is employed to further boost sensitivity and selectivity and expanded to optimally use the gas preconcentration. The project thus combines physical and chemical nanotechnologies for extremely sensitive and selective gas sensing, MEMS technologies for low-power operation as well as low-cost manufacture and finally dynamic operating modes together with advanced signal processing for unrivalled system performance. Sensor elements and systems are evaluated under controlled lab conditions derived from priority application scenarios. The final demonstration of the SENSIndoor technology will include field tests with sensor systems integrated into building control systems.

Fields of science (EuroSciVoc)

CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.

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Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

FP7-NMP-2013-SMALL-7
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Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

CP-FP - Small or medium-scale focused research project

Coordinator

UNIVERSITAT DES SAARLANDES
EU contribution
€ 627 000,00
Address
CAMPUS
66123 Saarbrucken
Germany

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Region
Saarland Saarland Regionalverband Saarbrücken
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

No data

Participants (9)

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