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

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

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
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Coordinator

TECHNISCHE UNIVERSITAT DORTMUND

Address

August Schmidt Strasse 4
44227 Dortmund

Germany

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 896 625

Participants (16)

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INEOS KOLN GMBH

Germany

EU Contribution

€ 600 625

COVESTRO DEUTSCHLAND AG

Germany

EU Contribution

€ 437 900

PROCTER & GAMBLE SERVICES COMPANY NV

Belgium

EU Contribution

€ 615 431,25

LENZING AKTIENGESELLSCHAFT

Austria

EU Contribution

€ 554 000

FRINSA DEL NOROESTE SA

Spain

EU Contribution

€ 204 382,50

UNIVERSIDAD DE VALLADOLID

Spain

EU Contribution

€ 299 375

ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE

Switzerland

ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS

Greece

EU Contribution

€ 330 750

AGENCIA ESTATAL CONSEJO SUPERIOR DEINVESTIGACIONES CIENTIFICAS

Spain

EU Contribution

€ 152 128,75

LEIKON GMBH

Germany

EU Contribution

€ 416 062,50

PROCESS SYSTEMS ENTERPRISE LIMITED

United Kingdom

EU Contribution

€ 385 490

DIVIS INTELLIGENT SOLUTIONS GMBH

Germany

EU Contribution

€ 299 250

ARGENT & WAUGH LIMITED

United Kingdom

EU Contribution

€ 221 406,25

ASM SOFT SL

Spain

EU Contribution

€ 139 500

ORSOFT GmbH

Germany

EU Contribution

€ 150 593,75

INNO TSD

France

EU Contribution

€ 356 125

Project information

Grant agreement ID: 723575

Status

Ongoing project

  • Start date

    1 November 2016

  • End date

    30 April 2020

Funded under:

H2020-EU.2.1.5.3.

  • Overall budget:

    € 6 537 270

  • EU contribution

    € 6 059 645

Coordinated by:

TECHNISCHE UNIVERSITAT DORTMUND

Germany