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CoPro SIGNED

Improved energy and resource efficiency by better coordination of production in the process industries

Total Cost €

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EC-Contrib. €

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Partnership

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Project "CoPro" data sheet

The following table provides information about the project.

Coordinator
TECHNISCHE UNIVERSITAT DORTMUND 

Organization address
address: AUGUST SCHMIDT STRASSE 4
city: DORTMUND
postcode: 44227
website: www.tu-dortmund.de

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 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

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    TECHNISCHE UNIVERSITAT DORTMUND DE (DORTMUND) coordinator 896˙625.00
2    PROCTER & GAMBLE SERVICES COMPANY NV BE (STROMBEEK BEVER) participant 615˙431.00
3    INEOS KOLN GMBH DE (KOLN) participant 600˙625.00
4    LENZING AKTIENGESELLSCHAFT AT (LENZING) participant 554˙000.00
5    COVESTRO DEUTSCHLAND AG DE (LEVERKUSEN) participant 437˙900.00
6    LEIKON GMBH DE (HERZOGENRATH) participant 416˙062.00
7    PROCESS SYSTEMS ENTERPRISE LIMITED UK (LONDON) participant 385˙490.00
8    INNO TSD FR (SOPHIA ANTIPOLIS VALBONNE) participant 356˙125.00
9    ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS EL (THERMI THESSALONIKI) participant 330˙750.00
10    UNIVERSIDAD DE VALLADOLID ES (VALLADOLID) participant 299˙375.00
11    DIVIS INTELLIGENT SOLUTIONS GMBH DE (DORTMUND) participant 299˙250.00
12    ARGENT & WAUGH LIMITED UK (BOLTON) participant 221˙406.00
13    FRINSA DEL NOROESTE SA ES (SANTA EUGENIA DE RIBEIRA) participant 204˙382.00
14    AGENCIA ESTATAL CONSEJO SUPERIOR DEINVESTIGACIONES CIENTIFICAS ES (MADRID) participant 152˙128.00
15    ORSOFT GmbH DE (LEIPZIG) participant 150˙593.00
16    ASM SOFT SL ES (VIGO) participant 139˙500.00
17    ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE CH (LAUSANNE) participant 0.00

Map

 Project objective

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

 Deliverables

List of deliverables.
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.

 Publications

year authors and title journal last update
List of publications.
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 Pampín, 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 Palacín, 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. Palacín, 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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