Explore the words cloud of the CoPro project. It provides you a very rough idea of what is the project "CoPro" about.
The following table provides information about the project.
Coordinator |
TECHNISCHE UNIVERSITAT DORTMUND
Organization address contact info |
Coordinator Country | Germany [DE] |
Project website | http://copro-project.eu/ |
Total cost | 6˙537˙270 € |
EC max contribution | 6˙059˙645 € (93%) |
Programme |
1. H2020-EU.2.1.5.3. (Sustainable, resource-efficient and low-carbon technologies in energy-intensive process industries) |
Code Call | H2020-SPIRE-2016 |
Funding Scheme | RIA |
Starting year | 2016 |
Duration (year-month-day) | from 2016-11-01 to 2020-04-30 |
Take a look of project's partnership.
The goal of CoPro is to develop and to demonstrate methods and tools for process monitoring and optimal dynamic planning, scheduling and control of plants, industrial sites and clusters under dynamic market conditions. CoPro will provide decision support to operators and managers and develop closed-loop solutions to achieve an optimally energy and resource efficient production. In most plants of the process industries, the energy and resource efficiency of the production depends critically on discrete decisions on the use of equipment, shutdowns, product changeovers and cleaning or regeneration of equipment. CoPro will consider these discrete decisions in plant-wide dynamic optimization and develop integrated scheduling and control solutions. Advanced online data analytics will be developed for plant health and product quality monitoring. The detection of anomalies will trigger fast re-scheduling and re-optimization. CoPro will demonstrate advanced plant-wide and site-wide coordination and control in five typical use cases that cover a wide range of sectors of the process industries, and the whole value chain: - Petrochemical production site - Base chemicals and polymer production site - Recycling system in cellulose production - Consumer product formulation and packaging plant - Food processing plant In addition,CoPro will develop methods for the coordination of plants in industrial parks that belong to different companies, thus providing a basis for future industrial symbiosis. CoPro pays special attention to the role of operators and managers in plant-wide control solutions and to the deployment of advanced solutions in industrial sites with a heterogeneous IT environment. As the effort required for the development and maintenance of accurate plant models is the bottleneck for the development and long-term operation of advanced control and scheduling solutions, CoPro will develop methods for efficient modelling and for model quality monitoring and model adaption
Report on model quality monitoring, model uncertainty quantification, and model maintenance | Documents, reports | 2019-11-20 12:04:49 |
Report on automatic rule extraction methods and results | Documents, reports | 2019-11-20 12:04:49 |
Final report on equipment degradation modelling | Documents, reports | 2019-11-20 12:04:48 |
Requirement specification and functional design specification of the CoPro model management platform | Documents, reports | 2019-11-20 12:04:48 |
Report on HMI requirements | Documents, reports | 2019-11-20 12:04:48 |
Report on the efficient construction of efficient models | Documents, reports | 2019-11-20 12:04:48 |
Prototype of the CoPro integration framework | Demonstrators, pilots, prototypes | 2019-11-20 12:04:48 |
Report on dynamic data reconciliation of large scale processes | Documents, reports | 2019-11-20 12:04:49 |
Report on LC assessment tools based on the results of MORE and EPOS | Documents, reports | 2019-11-20 12:04:48 |
Report on optimisation of production changeovers in flexible multi-product plants | Documents, reports | 2019-11-20 12:04:48 |
Report on soft sensors for the use cases | Documents, reports | 2019-11-20 12:04:49 |
Report on the use of OTS in plant-wide optimisation and control | Documents, reports | 2019-11-20 12:04:48 |
First report on methods for distributed optimisation of plants with shared resources | Documents, reports | 2019-11-20 12:04:48 |
First report on tools for anomaly detection | Documents, reports | 2019-11-20 12:04:48 |
Preliminary report on optimisation methods for large plants with discrete and continuous degrees of freedom | Documents, reports | 2019-11-20 12:04:48 |
Initial report on standardisation activities | Documents, reports | 2019-11-20 12:04:48 |
First Report on techniques for plant-wide reactive scheduling | Documents, reports | 2019-11-20 12:04:48 |
Report on model reduction for optimisation and control | Documents, reports | 2019-11-20 12:04:48 |
Report on new multi modal HMI concepts | Documents, reports | 2019-11-20 12:04:48 |
Web platform | Websites, patent fillings, videos etc. | 2019-11-20 12:04:48 |
Communication and dissemination strategy | Documents, reports | 2019-11-20 12:04:48 |
Requirement specification and functional design specification of the CoPro integration framework | Documents, reports | 2019-11-20 12:04:47 |
Take a look to the deliverables list in detail: detailed list of CoPro deliverables.
year | authors and title | journal | last update |
---|---|---|---|
2019 |
Benedikt Beisheim, Keivan Rahimi-Adli, Stefan Krämer, Sebastian Engell Energy performance analysis of continuous processes using surrogate models published pages: 776-787, ISSN: 0360-5442, DOI: 10.1016/j.energy.2019.05.176 |
Energy 183 | 2020-03-13 |
2020 |
Benedikt Beisheim, Stefan Krämer, Sebastian Engell Hierarchical aggregation of energy performance indicators in continuous production processes published pages: 114709, ISSN: 0306-2619, DOI: 10.1016/j.apenergy.2020.114709 |
Applied Energy 264 | 2020-03-13 |
2019 |
Apostolos P. Elekidis, Francesc Corominas, Michael C. Georgiadis Production Scheduling of Consumer Goods Industries published pages: 23261-23275, ISSN: 0888-5885, DOI: 10.1021/acs.iecr.9b04907 |
Industrial & Engineering Chemistry Research 58/51 | 2020-03-11 |
2020 |
Georgios P. Georgiadis, Borja Mariño PampÃn, Daniel Adrián Cabo, Michael C. Georgiadis Optimal production scheduling of food process industries published pages: 106682, ISSN: 0098-1354, DOI: 10.1016/j.compchemeng.2019.106682 |
Computers & Chemical Engineering 134 | 2020-03-11 |
2019 |
Georgios P. Georgiadis, Apostolos P. Elekidis, Michael C. Georgiadis Optimization-Based Scheduling for the Process Industries: From Theory to Real-Life Industrial Applications published pages: 438, ISSN: 2227-9717, DOI: 10.3390/pr7070438 |
Processes 7/7 | 2020-03-11 |
2020 |
S. Wenzel, F. Riedl, S. Engell An efficient hierarchical market-like coordination algorithm for coupled production systems based on quadratic approximation published pages: 106704, ISSN: 0098-1354, DOI: 10.1016/j.compchemeng.2019.106704 |
Computers & Chemical Engineering 134 | 2020-03-05 |
2020 |
Lukas Samuel Maxeiner, Sebastian Engell An accelerated dual method based on analytical extrapolation for distributed quadratic optimization of large-scale production complexes published pages: 106728, ISSN: 0098-1354, DOI: 10.1016/j.compchemeng.2020.106728 |
Computers & Chemical Engineering 135 | 2020-03-05 |
2019 |
PalacÃn, Carlos G.; Méndez, Carlos A.; Prada Moraga, César de Slots Startup Synchronization with Shared Resources Dependency published pages: 1321-1326, ISSN: 2283-9216, DOI: 10.3303/CET1974221 |
Chemical Engineering Transactions 74 | 2019-11-20 |
2018 |
C.G. PalacÃn, J.L. Pitarch, C. Jasch, C.A. Méndez, C. de Prada Robust integrated production-maintenance scheduling for an evaporation network published pages: 140-151, ISSN: 0098-1354, DOI: 10.1016/j.compchemeng.2017.12.005 |
Computers & Chemical Engineering 110 | 2019-11-20 |
2017 |
Shaghayegh Nazari, Simon Wenzel, Lukas Samuel Maxeiner, Christian Sonntag, Sebastian Engell A Framework for the Simulation and Validation of Distributed Control Architectures for Technical Systems of Systems * *The authors acknowledge the support of the European Commission under the grant agreement number 611281 (FP7 ICT project DYMASOS) published pages: 12458-12463, ISSN: 2405-8963, DOI: 10.1016/j.ifacol.2017.08.1921 |
IFAC-PapersOnLine 50/1 | 2019-11-20 |
2017 |
Lukas S. Maxeiner, Sebastian Engell Hierarchical MPC of batch reactors with shared resources * *The work leading to this publication has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 723575 (CoPro, spire2030.eu/copro) in the framework of the SPIRE PPP and it has received funding under the grant agreement No 611281 (FP7 ICT project DYMASOS, dymasos.eu). published pages: 12041-12046, ISSN: 2405-8963, DOI: 10.1016/j.ifacol.2017.08.2103 |
IFAC-PapersOnLine 50/1 | 2019-11-20 |
2017 |
Simon Wenzel, Radoslav Paulen, Benedikt Beisheim, Stefan Krämer, Sebastian Engell Adaptive pricing for optimal resource allocation in industrial production sites * *The work leading to this publication has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 723575 (CoPro, spire2030.eu/copro) in the framework of the SPIRE PPP and it has received funding under the grant agreement No 611281 (FP7 ICT project DYMASOS, dymasos.eu) published pages: 12446-12451, ISSN: 2405-8963, DOI: 10.1016/j.ifacol.2017.08.1919 |
IFAC-PapersOnLine 50/1 | 2019-11-20 |
2019 |
José Pitarch, Antonio Sala, César de Prada A Systematic Grey-Box Modeling Methodology via Data Reconciliation and SOS Constrained Regression published pages: 170, ISSN: 2227-9717, DOI: 10.3390/pr7030170 |
Processes 7/3 | 2019-11-20 |
2019 |
Simon Wenzel, Yannik-Noel Misz, Keivan Rahimi-Adli, Benedikt Beisheim, Ralf Gesthuisen, Sebastian Engell An optimization model for site-wide scheduling of coupled production plants with an application to the ammonia network of a petrochemical site published pages: , ISSN: 1389-4420, DOI: 10.1007/s11081-019-09429-2 |
Optimization and Engineering | 2019-11-20 |
2018 |
C. de Prada, D. Hose, G. Gutierrez, J.L. Pitarch DEVELOPING GREY-BOX DYNAMIC PROCESS MODELS published pages: 523-528, ISSN: 2405-8963, DOI: 10.1016/j.ifacol.2018.03.088 |
IFAC-PapersOnLine 51/2 | 2019-11-20 |
2018 |
Marc Kalliski, José Luis Pitarch, Christian Jasch, César De Prada Apoyo a la toma de decisión en una red de evaporadores industriales published pages: 26, ISSN: 1697-7912, DOI: 10.4995/riai.2018.9233 |
Revista Iberoamericana de Automática e Informática industrial 16/1 | 2019-11-20 |
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The information about "COPRO" are provided by the European Opendata Portal: CORDIS opendata.