COCOP in a Nutshell Need Vision Work PlanningCOCOP_poster_Overview_March_2020 Author 104810 Created...
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Goal COCOP in a Nutshell This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 723661 www.cocop-spire.eu @CocopSpire Project Coordinator: Prof. Matti VILKKO ([email protected]) Coordinating Optimisation of Complex Industrial Processes European Process industry faces a strong need to increase product quality and reduce operating costs and its environmental footprint. An industrial plant comprises continuous and/or batch unit processes, where the complexity stems from its dynamic properties, so a plant-wide monitoring and control is needed. Complex process industry plants will be optimally run by the operators with the guidance of a coordinating, real-time optimisation system. To enable plant-wide monitoring and control by using the model-based, predictive, coordinating optimisation concept in integration with plant´s automation systems COCOP concept integrates existing control systems with efficient data management and optimisation methods and provides means to monitor and control large industrial production processes COCOP is based on the decomposition-coordination optimisation of the plant operations: the overall problem is decomposed into unit-level sub-problems, and then, solutions of sub-problems are coordinated using high-level coordination to plant-wide optimal operation, enabling real-time optimisation of the plant COCOP also combines the technological development with a social innovation process of co-creation and co-development for improving effectiveness and impact of the innovations and operator acceptance On-site application & validation on two pilot cases Transfer analysis to other sectors Steel pilot case: to develop a steel manufacturing plant-wide monitoring and advisory tool to reduce the surface and sub- surface defects in micro-alloyed steels in as-rolled state Copper pilot case: to optimize scheduling of batch processes and develop advisory tools for main unit operations to increase production, improve copper recovery and reduce emissions Chemical sector Water treatment processing Main Beneficiaries: Process Industry: COCOP concept can be applied to any industrial production site (steel, copper, chemical, cement, glass, etc) since it relies on general methods such as modelling, data analysis and optimization Automation solution suppliers Main Benefits: COCOP solution will allow to approach optimal production and: Increased product quality Reduced operation costs Increased sustainability (reduced energy and resource consumption and decreased greenhouse gas emissions) Improved working conditions of plant operators by the new process control tools which support the operating work Impact and Exploitation The Application The Approach Work Planning From the 1st October 2016 to 31th March 2020 Need Vision Flow sheet copper production Increased competitiveness of the European process & automation industry COCOP involves the business perspective in the research and development work with the help of the Business Model Canvas framework as introduced by Österwalder Glass manufacturing Source: Osterwalder, A. & Pigneur Y. (2010). Business Model Generation
Transcript of COCOP in a Nutshell Need Vision Work PlanningCOCOP_poster_Overview_March_2020 Author 104810 Created...
Goal
COCOP in a Nutshell
This project has received funding from the European Union’s Horizon 2020
research and innovation programme under grant agreement No 723661
www.cocop-spire.eu
@CocopSpire
Project Coordinator:
Prof. Matti VILKKO ([email protected])
Coordinating Optimisation of Complex Industrial Processes
European Process industry faces a strongneed to increase product quality and reduce
operating costs and its environmental
footprint. An industrial plant comprisescontinuous and/or batch unit processes,where the complexity stems from itsdynamic properties, so a plant-wide
monitoring and control is needed.
Complex process industryplants will be optimallyrun by the operators withthe guidance of acoordinating, real-timeoptimisation system.
To enable plant-wide monitoring and control by
using the model-based, predictive, coordinating
optimisation concept in integration with plant´s
automation systems
COCOP concept integrates existing control systems with efficient datamanagement and optimisation methods and provides means to monitor andcontrol large industrial production processes
COCOP is based on the decomposition-coordination optimisation of the plant
operations: the overall problem is decomposed into unit-level sub-problems, andthen, solutions of sub-problems are coordinated using high-level coordination toplant-wide optimal operation, enabling real-time optimisation of the plant
COCOP also combines the technological development with a social innovation
process of co-creation and co-development for improving effectiveness andimpact of the innovations and operator acceptance
On-site
application
&
validation
on two
pilot cases
Transfer
analysis to
other
sectors
Steel pilot case: to develop asteel manufacturing plant-widemonitoring and advisory tool to
reduce the surface and sub-
surface defects in micro-alloyedsteels in as-rolled state
Copper pilot case: to optimizescheduling of batch processesand develop advisory tools formain unit operations to increase
production, improve copper
recovery and reduce emissions
Chemical
sector
Water treatment
processing
Main Beneficiaries:
Process Industry: COCOP concept can be applied to any industrial production site(steel, copper, chemical, cement, glass, etc) since it relies on general methods such asmodelling, data analysis and optimization
Automation solution suppliers
Main Benefits: COCOP solution will allow to approach optimal production and:
Increased product quality
Reduced operation costs
Increased sustainability (reduced energy and resource consumption and decreasedgreenhouse gas emissions)
Improved working conditions of plant operators by the new process control toolswhich support the operating work
Impact and Exploitation
The ApplicationThe Approach
Work Planning
From the 1st October 2016 to 31th March 2020
Need Vision
Flow sheet copper
production
Increased competitiveness of the European process & automation industry
COCOP involves the business perspective in the research and development work with the help of the Business Model
Canvas framework as introduced by Österwalder
Glass manufacturing
Source: Osterwalder, A. & Pigneur Y. (2010). Business Model Generation
