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 engineering and technologyother engineering and technologiesfood technologyengineering and technologymaterials engineeringnatural sciencesmathematicsapplied mathematicsnumerical analysis Programme(s) FP7-IDEAS-ERC - Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) Topic(s) ERC-AG-PE8 - ERC Advanced Grant - Products and process engineering Call for proposal ERC-2011-ADG_20110209 See other projects for this call Funding Scheme ERC-AG - ERC Advanced Grant Coordinator TECHNISCHE UNIVERSITAT DORTMUND Address August schmidt strasse 4 44227 Dortmund Germany See on map Region Nordrhein-Westfalen Arnsberg Dortmund, Kreisfreie Stadt Activity type Higher or Secondary Education Establishments Administrative Contact Esther Rahma (Mrs.) Principal investigator Johannes Karl Sebastian Engell (Prof.) Links Contact the organisation Opens in new window Website Opens in new window EU contribution No data Beneficiaries (2) Sort alphabetically Sort by EU Contribution Expand all Collapse all TECHNISCHE UNIVERSITAT DORTMUND Germany EU contribution € 2 694 832,00 Address August schmidt strasse 4 44227 Dortmund See on map Region Nordrhein-Westfalen Arnsberg Dortmund, Kreisfreie Stadt Activity type Higher or Secondary Education Establishments Administrative Contact Esther Rahma (Mrs.) Principal investigator Johannes Karl Sebastian Engell (Prof.) Links Contact the organisation Opens in new window Website Opens in new window Other funding No data RUPRECHT-KARLS-UNIVERSITAET HEIDELBERG Germany EU contribution € 796 800,00 Address Seminarstrasse 2 69117 Heidelberg See on map Region Baden-Württemberg Karlsruhe Heidelberg, Stadtkreis Activity type Higher or Secondary Education Establishments Administrative Contact Günther R. Mittler (Dr.) Links Contact the organisation Opens in new window Website Opens in new window Other funding No data
