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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.

Field of science

  • /engineering and technology/materials engineering/fibers
  • /social sciences/economics and business/economics/production economics
  • /natural sciences/mathematics/applied mathematics/statistics and probability
  • /social sciences/sociology/industrial relations/automation
  • /engineering and technology/materials engineering/paper and wood
  • /engineering and technology/electrical engineering, electronic engineering, information engineering/electronic engineering/sensors
  • /natural sciences/computer and information sciences/artificial intelligence/machine learning/deep learning
  • /engineering and technology/environmental engineering/water treatment processes/wastewater treatment processes

Call for proposal

H2020-SPIRE-2016
See other projects for this call

Funding Scheme

RIA - Research and Innovation action

Coordinator

MAELARDALENS HOEGSKOLA
Address
Hogskoleplan 1
721 23 Vasteras
Sweden
Activity type
Higher or Secondary Education Establishments
EU contribution
€ 1 135 158,75

Participants (11)

Turkiye Petrol Rafinerileri Anonim Sirketi
Turkey
EU contribution
€ 428 890
Address
Petrol Cad. 41790, Korfez
41790 Kocaeli
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.
Germany
EU contribution
€ 433 520
Address
Hansastrasse 27C
80686 Munchen
Activity type
Research Organisations
TIETO AUSTRIA GMBH
Austria
EU contribution
€ 680 072,50
Address
Handelskai 94-96, Millennium Tower, 33Rd Floor
1200 Wien
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
RISE SICS VASTERAS AB

Participation ended

Sweden
EU contribution
€ 356 615
Address
Kopparbergsvagen 10
72213 Vasteras
Activity type
Other
MALARENERGI AB
Sweden
EU contribution
€ 304 070
Address
Sjohagsvagen 3
721 03 Vasteras
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
ABB POWER GRIDS SWEDEN AB
Sweden
EU contribution
€ 661 521,25
Address
Kopparbergsvagen 2
72183 Vasteras
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
BESTWOOD AB
Sweden
EU contribution
€ 591 077,50
Address
Jarnvagsgatan 84
172 75 Sundbyberg
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
BILLERUDKORSNAS AKTIEBOLAG (PUBL)
Sweden
EU contribution
€ 222 262,50
Address
.
169 27 Solna
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
OPTIMIZACION ORIENTADA A LA SOSTENIBILIDAD SL
Spain
EU contribution
€ 250 720
Address
Avenida Leonardo Da Vinci 18 Piso 2
41092 Sevilla
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
MICRO TURBINE TECHNOLOGY BV
Netherlands
EU contribution
€ 303 375
Address
Nonnenveld 585
4811 DT Breda
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
RISE RESEARCH INSTITUTES OF SWEDEN AB
Sweden
EU contribution
€ 373 393,75
Address
Brinellgatan 4
501 15 Boras
Activity type
Research Organisations