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Future Directions of Production Planning and Optimized Energy- and Process Industries

Objective

Machine learning have revolutionized the way we use computers and is a key technology in the analysis of large data sets. The FUDIPO project will integrate machine learning functions on a wide scale into several critical process industries, showcasing radical improvements in energy and resource efficiency and increasing the competitiveness of European industry. The project will develop three larger site-wide system demonstrators as well as two small-scale technology demonstrators. For this aim, FUDIPO brings together five end-user industries within the pulp and paper, refinery and power production sectors, one automation industry (LE), two research institutes and one university. A direct output is a set of tools for diagnostics, data reconciliation, and decision support, production planning and process optimization including model-based control. The approach is to construct physical process models, which then are continuously adapted using “good data” while “bad data” is used for fault diagnostics. After learning, classification of data can be automated. Further, statistical models are built from measurements with several new types of sensors combined with standard process sensors. Operators and process engineers are interacting with the system to both learn and to improve the system performance. There are three new sensors included (TOM, FOM and RF) and new functionality of one (NIR). The platform will have an open platform as the base functionality, as well as more advanced functions as add-ons. The base platform can be linked to major automation platforms and data bases. The model library also is used to evaluate impact of process modifications. By using well proven simulation models with new components and connect to the process optimization system developed we can get a good picture of the actual operations of the modified plant, and hereby get concurrent engineering – process design together with development of process automation.

Call for proposal

H2020-IND-CE-2016-17

See other projects for this call

Sub call

H2020-SPIRE-2016

Coordinator

MALARDALENS UNIVERSITET
Net EU contribution
€ 1 135 158,75
Address
Hogskoleplan 1
721 23 Vasteraas
Sweden

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Region
Östra Sverige Östra Mellansverige Västmanlands län
Activity type
Higher or Secondary Education Establishments
Other funding
€ 0,00

Participants (12)

Turkiye Petrol Rafinerileri Anonim Sirketi
Türkiye
Net EU contribution
€ 385 890,00
Address
Petrol Cad. 41790, Korfez
41790 Kocaeli

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Region
Doğu Marmara Kocaeli Kocaeli
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Other funding
€ 0,00
FRAUNHOFER GESELLSCHAFT ZUR FORDERUNG DER ANGEWANDTEN FORSCHUNG EV
Germany
Net EU contribution
€ 433 520,00
Address
Hansastrasse 27c
80686 Munchen

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Region
Bayern Oberbayern München, Kreisfreie Stadt
Activity type
Research Organisations
Other funding
€ 0,00
TIETO AUSTRIA GMBH
Austria
Net EU contribution
€ 680 072,50
Address
Handelskai 94-96, Millennium Tower, 33rd Floor
1200 Wien

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Wien Wien
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Other funding
€ 0,00
RISE SICS VASTERAS AB

Participation ended

Sweden
Net EU contribution
€ 356 615,00
Address
Kopparbergsvagen 10
72213 Vasteras
Region
Östra Sverige Östra Mellansverige Västmanlands län
Activity type
Other
Other funding
€ 0,00
MALARENERGI AB
Sweden
Net EU contribution
€ 304 070,00
Address
Sjohagsvagen 3
721 03 Vasteras

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Region
Östra Sverige Östra Mellansverige Västmanlands län
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Other funding
€ 0,00
HITACHI ENERGY SWEDEN AB

Participation ended

Sweden
Net EU contribution
€ 297 833,75
Address
Kopparbergsvagen 2
721 83 Vasteras
Region
Östra Sverige Östra Mellansverige Västmanlands län
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Other funding
€ 0,00
BESTWOOD AB
Sweden
Net EU contribution
€ 591 077,50
Address
Jarnvagsgatan 84
172 75 Sundbyberg

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Östra Sverige Stockholm Stockholms län
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Other funding
€ 0,00
BILLERUDKORSNAS AKTIEBOLAG (PUBL)
Sweden
Net EU contribution
€ 222 262,50
Address
.
169 27 Solna

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Region
Östra Sverige Stockholm Stockholms län
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Other funding
€ 0,00
IDENER TECHNOLOGIES SL
Spain
Net EU contribution
€ 273 720,00
Address
Calle Early Ovington 4 Nave 8
41300 La Rinconada (Sevilla)

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Andalucía Sevilla
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Other funding
€ 0,00
MICRO TURBINE TECHNOLOGY BV
Netherlands
Net EU contribution
€ 303 375,00
Address
Nonnenveld 585
4811 DT Breda

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Noord-Brabant West-Noord-Brabant
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Other funding
€ 0,00
RISE RESEARCH INSTITUTES OF SWEDEN AB
Sweden
Net EU contribution
€ 443 393,75
Address
Brinellgatan 4
501 15 Boras

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Region
Södra Sverige Västsverige Västra Götalands län
Activity type
Research Organisations
Other funding
€ 0,00
ABB AB
Sweden
Net EU contribution
€ 313 687,50
Address
Kopparbergsvagen 2
721 71 Vasteras

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Region
Östra Sverige Östra Mellansverige Västmanlands län
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Other funding
€ 0,00