model-based optimisation for efficient use of resources ...nov 27, 2019 · the mission of the...
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Model-Based Optimisation for Efficient Use of Resources and Energy
This project has received funding from the European Union’sHorizon 2020 research and innovation programme undergrant agreement No 768652
IETS Workshop, 27 November 2019, EspooMikko HeiskanenVTT Technical Research Centre of Finland Ltd
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• Call H2020-SPIRE-2017
• Funding scheme IA
• Duration (months) 48
• Start Date 01/10/2017
• End Date 30/09/2021
• Total budget 5 794 410 €
Model-Based Optimisation for Efficient Use of Resources and Energy (MORSE)
This project has received funding from the European Union’sHorizon 2020 research and innovation programme undergrant agreement No 768652
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MAX
Yield
Quality
Delivery
accuracy
MIN
Energy
Raw materials
Resources
REDUCE
Yield losses
Energy consumption, waste
Rejections, corrections, rework
Decision making delays
Process disturbances
Delivery time
The mission of the Morse project is to develop model-based, predictive raw material and energy optimisation tools for the whole process route.
Morse will be demonstrated in steel industry, to increase yield and product quality in production of high-strength carbon steels, stainless steels and cast steels.
Morse objectives
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Building blocks of the MORSE concept
Through process applications
• Production management system
• Plant-wide cost-optimisation system
• Operator Support System
• Online quality monitoring tool
Unit process models and applications
• Static energy and mass balance and dynamic process models
• Electric Arc Furnaces (EAF)
• Argon Oxygen Decarburization (AOD)
• Blast Furnaces (BF)
• Blast Oxygen Furnaces (BOF)
• Composition Adjustment by Sealed argon
bubbling – Oxygen Blowing (CAS-OB)
• Slab Management models
• On-line Nonlinear Model Predictive Control (NMPC)
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Demonstrators
• Demonstrators include 3 pilot cases each having several use cases
• 15 use cases defined in total
• Each use case may have several partner working on it, furthermore use cases having interfaces with each others
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Stainless steel
Cast steel
Carbon steel
Methods,
practicalities,
tools
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Quality gate
Integration of information flows from steelmaking to hot rolling to gather all the needed quality information for optimal decision making and root cause analysis throughout the process
Extended quality informationUpdated process models,new Steel cleanness and Thermocouple models, new data driven slab analysis
Quality gate for slabsThe quality data of processed slab is generated and transferred for hot rolling process.
Quality gate for coilsComposed, real-time quality information for each coil based on actual measurements and historical data analysis.
Quality gateQuality index Quality index
Overall quality index
VTT use case – Quality Monitoring Tool
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Contact information
Project Coordinator
Dr. Heli Helaakoski, VTT
GSM +358 40 5108 619
Project manager
Mr. Mikko Heiskanen, VTT
GSM + 358 40 017 8222
https://www.spire2030.eu/morse
MORSE EU
@eu_morse