Objective
The quantitative measurement of air pollution contaminants is becoming of evergrowing importance, especially in densely populated areas with a large traffic impact and with numerous industrial sources for air pollution.
Raman scattering can be used for laboratory quantitative monitoring of gases, vapours, liquids and solid specimens in mixtures with great accuracy and high resolution at reasonable costs. The project aims to develop and evaluate a low-priced, transportable multigas sensor for a broad field use for environmental air pollution monitoring, based on the principle of laser Raman scattering, for simultaneous measurements of several gases with auto-calibration and drift-compensation. To prove the technical and economical feasibility of this technique in these prototype development phase and field test phase all components have to be optimized to increase the overall efficiency and to decrease the input power needed with the effect of lower costs and longer Mean Time Between Failure (MTBF) values.
At least combinations of the following gases SO2, NOx, CO, O3, CO2, NH3, H2S, benzene or other volatile hydrocarbons have to be measured at 0,1-1 ppm levels, with the possibility of new measurements after ten minutes and MTBF times > 1 year. The nitrogen concentration can be used as a reference for overall drift control of all gas-specific channels.
The Raman multigas sensor comprises several unique features. One is to use an extra cavity multipass sampling compartment which can be designed economically up to multipass factor of better than 50, and in addition each detection channel consists of a set of interference filters which provide a straylight reduction of better than 1E{-8}.
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: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences chemical sciences organic chemistry hydrocarbons
- engineering and technology environmental engineering air pollution engineering
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors
- natural sciences earth and related environmental sciences environmental sciences pollution
- natural sciences physical sciences optics laser physics
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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.
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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.
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
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.
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.
Coordinator
12207 Berlin
Germany
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.