Project description
Engineering of Networked Monitoring and Control Systems
This project aims at improving the operational efficiency of large-scale dynamic plants as found in petrochemical, chemical and other process industries. Costs related with industrial implementation of current model-based operation support systems, like Model Predictive Control, Real-Time Optimization and soft-sensors for these complex processes are currently very high. Moreover it is widely recognized that life-time performance of these systems is rather limited, particularly due to the fact that the underlying dynamic models need to be adapted/calibrated regularly, requiring expensive dedicated measurement campaigns. Given the importance of increasing demands on economic and sustainable process operation, there is a strong need to reduce the costs and increase the performance of model-based operation support systems.Therefore it is proposed to develop model-based operation support technology that enables control and model calibration at a considerable higher level of autonomy than currently possible. The technology enables autonomous maintenance by automated surveillance, continuously monitoring the process' and operation support system performance. If performance degradation is anticipated then proactive adaptation of the model-based operation support system is initiated. The technology will operate on the basis of the least costly principle. The influence of the invasive testing on process' operation and economics will be minimised, to the extent possible given the necessary accuracy of the resulting identified model. Moreover all decisions are based on an economic trade-off between process operation costs and benefits. This system should be able to optimise plant performance under varying operational conditions and adapting to changing circumstances. The consortium is well suited for this task. Industry is specifically involved to guide research in an industrial relevant direction and to ensure industrial validation of the technology to be developed.
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.
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.
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.
FP7-ICT-2009-5
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
2628 CN DELFT
Netherlands
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.