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Morse SIGNED

Model-based optimisation for efficient use of resources and energy

Total Cost €

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EC-Contrib. €

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Partnership

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Project "Morse" data sheet

The following table provides information about the project.

Coordinator
Teknologian tutkimuskeskus VTT Oy 

Organization address
address: VUORIMIEHENTIE 3
city: Espoo
postcode: 2150
website: www.vtt.fi

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 Finland [FI]
 Project website https://www.spire2030.eu/morse
 Total cost 5˙791˙410 €
 EC max contribution 4˙700˙692 € (81%)
 Programme 1. H2020-EU.2.1.5.3. (Sustainable, resource-efficient and low-carbon technologies in energy-intensive process industries)
 Code Call H2020-SPIRE-2017
 Funding Scheme IA
 Starting year 2017
 Duration (year-month-day) from 2017-10-01   to  2021-09-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    Teknologian tutkimuskeskus VTT Oy FI (Espoo) coordinator 1˙001˙560.00
2    VDEH-BETRIEBSFORSCHUNGSINSTITUT GMBH DE (DUSSELDORF) participant 1˙154˙125.00
3    CYBERNETICA AS NO (TRONDHEIM) participant 816˙550.00
4    OPTIMIZACION ORIENTADA A LA SOSTENIBILIDAD SL ES (SEVILLA) participant 401˙625.00
5    SW-Development Oy FI (Tampere) participant 354˙200.00
6    SSAB EUROPE OY FI (HAMEENNLINNA) participant 282˙843.00
7    OUTOKUMPU STAINLESS OY FI (TORNIO) participant 280˙437.00
8    MASCHINENFABRIK LIEZEN UND GIESSEREI GESMBH AT (LIEZEN) participant 214˙156.00
9    GRIPS INDUSTRIAL IT SOLUTIONS GMBH DE (ESSEN) participant 195˙195.00

Map

 Project objective

The process industry is continuously looking for new ways to improve resource efficiency due to high dependence on resources (energy, raw materials and utilities). In large scale production even small changes in using raw materials and in energy can significantly improve process efficiency. The MORSE approach is to adopt new software tools for model-based predictive control, multi-criterial through process optimisation and quality management with overall process coordination. The application of these new software tools will lead to process improvements - reducing the use of raw material and energy while increasing the high quality and production rates. The Morse project aims to further develop and to integrate a set of software tools that have partly already been validated in different process steps in steel industries. These software prototype tools and models were developed and evaluated by six R&D partners of the consortium in collaboration with three process industry partners. With the enhanced Morse tools companies of the process industry will be enabled to optimise the use of raw materials and energy by coordinated prediction and control of resource input and product quality along the entire process route from raw material and energy intake to customer delivery. The mission of the Morse project is to develop model-based, predictive raw material and energy optimisation tools for the whole process route. This approach will be demonstrated in steel industry, to increase yield and product quality in production of high-strength carbon steels, stainless steels and cast steels.

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The information about "MORSE" are provided by the European Opendata Portal: CORDIS opendata.

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