Objective
In many aspects batch processes are superior to continuous. Therefore it is worthwhile to take advantage of recent progress in sensor technologies, modelling and automation to develop a new paradigm for the design and conduction of batch processes: a) operation at maximum efficiency, b) dynamic, quality driven process trajectories rather than fixed schedules c) detailed analysis and tracking of all relevant process and product parameter. The main objective of the proposed project is the maximization of efficiency (reg. quality, energy, raw materials, and costs) of batch processes.
Integrated process control is essential for an efficient operation of industrial batch processes: it tracks the evolution of product properties, detects deviations from the target values for product quality and derives corrective actions at a stage when an automatic compensation of deviations from an optimal trajectory is still possible. This contributes to optimal energy and raw material utilisation, shortens production time and enhanced the product quality.
With the ambition to deliver solutions with relevance to all sectors of the process industries, the RECOBA consortium represents a selection of batch processes operating industries and partners across the value chain of batch process control, among them 3 global players from the polymer industry (BASF), the steel industry (TKSE), and the silicon metal industry (ELKEM).
Within RECOBA there will be developed and validated:
(1) new & innovative solutions for the measurement of different types of quality aspects,
(2) new models to realise integrated process control of batch processes & suitable online parameter adaptation technologies to keep these models valid,
(3) control modules to realise concepts for real-time, model based & closed loop process control, which are easily adaptable to existing batch processes in various industrial sectors,
(4) business models to approach relevant industrial sectors for a future market entry.
Fields of science
- natural scienceschemical sciencesanalytical chemistryspectroscopy
- engineering and technologymaterials engineeringfibers
- natural scienceschemical sciencespolymer science
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsoptical sensors
- natural sciencescomputer and information sciencessoftware
- natural sciencescomputer and information sciencesdata sciencedata processing
- social scienceseconomics and businesseconomicsproduction economics
- natural sciencesphysical sciencesopticsmicroscopyelectron microscopy
- natural scienceschemical sciencesinorganic chemistryinorganic compounds
Call for proposal
H2020-SPIRE-2014
See other projects for this call
Funding Scheme
RIA - Research and Innovation actionCoordinator
67063 Ludwigshafen Am Rhein
Germany
Participants (9)
47166 Duisburg
0277 Oslo
CB2 1TN Cambridge
52062 Aachen
166 28 Praha
48940 Leioa
40237 Dusseldorf
7038 Trondheim
42 600 Tarnowskie Gory
