Objective
This proposal focuses on the operation of processing units in chemical and biochemical production plants. A new approach, demonstrated recently in the lab and pilot scales as being feasible, is to perform a dynamic online optimization of the plant operating parameters in order to achieve an economically optimal operation while meeting constraints on emissions, product quality and operating limits of the equipment. Traditionally, meeting the specifications on product purity and quality, yield etc. is achieved by feedback control of the processing conditions to set-points determined by experienced operators or by an infrequent stationary optimization. In the optimizing control approach, the main degrees of freedom of the plant are not used to regulate certain variables to set-points but adapted dynamically to achieve an optimal performance In a joint effort by two internationally leading research groups in process operations and in numerical methods for dynamic optimization, we will tackle the main obstacles to the widespread industrial application of this extremely promising approach and will realize:
• Increased reliability and robustness of the algorithms and of the overall control scheme
• Reduction of the modelling effort and increase of the model accuracy by combining rigorous models with online adaptation
• New concepts for human-controller interaction to increase acceptance and performance.
Moreover, we will extend the scope of the application of optimizing control to large transitions where discrete control variables are manipulated, e.g. during start-up and shut-down.
The robustness and the power of optimizing control and the new concepts for the interaction with the operators will be validated and demonstrated by an application to a very challenging and innovative process in the pilot scale. The approach and the methods are transferable to the broad domain of processes where materials are transformed (e.g. iron and steel, glass, food and beverages).
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.
- engineering and technology other engineering and technologies food technology
- engineering and technology materials engineering
- natural sciences mathematics applied mathematics numerical analysis
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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.
ERC-2011-ADG_20110209
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.
Host institution
44227 Dortmund
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.