Objective
In recent years several studies have demonstrated the great potential of the supercritical fluid technology (SFT). The design of these process requires simulation software whose reliability depends mainly on the knowledge of the behavior of the chemical mi xture. The real behavior depends on chemical and thermodynamic properties continuously changing during the unit operations. They can then be reliably represented only by continuous thermodynamic models as an equations of state (EoS). To generate these EoS a large number of experimental data need to be produced which requires very time consuming procedures. The main object of this project is to develop a new method to obtain an EoS for mixtures by only a minimum experimental effort. This will be achieved by integrating inside a cubic EoS a Neural Networks (NN) function approximator trained on selected data sets of the mixture. The required data sets can be obtained only at the qualified highly thermodynamic laboratory of the host Institution. This tool is ad dressed to the following urgent needs: to improve thermodynamics properties predictive methods by involving new fluids as alternative to the traditional CO2, to optimize the unit operations, to achieve the optimal design by minimizing the total energy cost . These aspects are still the effective limiting factors to the diffusion of the SFT technology in spite of the growing number of applications and the wealth of experimental works available. By this model the potentiality of the SFT can investigate strateg ic applications as extractive processes, treatment of wastes, energetic applications. This requires further research efforts enlarging the applicant expertise for a long term benefit. Considering the very outstanding level of the host partner and the appli cant scientific experience, the development of this project, besides meeting one of the priority areas of the FP6 enhances the strategic knowledge and competitiveness of the EU on SFT in the years to come
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 physical sciences thermodynamics
- natural sciences computer and information sciences software software applications simulation software
- natural sciences computer and information sciences artificial intelligence computational intelligence
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
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.
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.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP6-2002-MOBILITY-5
See other projects for this call
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
OLDENBURG
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.