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PRONTO

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PRONTO PROcess NeTwork Optimization for efficient and sustainable operation of...

PRONTO PROcess NeTwork Optimization for efficient and sustainable operation of Europe s process industries taking machinery condition and process performance into account. The typical lifetime of an industrial process plant is between 30 and 50 years. Technologies to enhance the operation and optimization of process plants can both guide the development of new state-of-the-art process plants and, pe... ver más

31/12/2019

IMPERIAL COLLEGE O...

4M€

Presupuesto del proyecto: 4M€

Líder del proyecto

IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND ME... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

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Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2019-12-31

MSCA-ITN-2015-EID: Marie Skłodowska-Curie Innovative T...

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16 Participantes

IMPERIAL COLLEGE OF SCIENCE...

659.46K€ | Lider

PETROLEOS DEL NORTE, S.A.

N.D. | Participante

HIOF

286.28K€ | Participante

ABB

224.14K€ | Participante

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Duración del proyecto: 52 meses Fecha Inicio: 2015-08-12
Fecha Fin: 2019-12-31

Líder del proyecto

IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND ME... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 4M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto The typical lifetime of an industrial process plant is between 30 and 50 years. Technologies to enhance the operation and optimization of process plants can both guide the development of new state-of-the-art process plants and, perhaps more pertinently, can ensure that the large installed base of existing plants operates efficiently. The PRONTO Consortium partners are strongly convinced that for Europe to stay competitive, the overriding challenge is the efficient and sustainable operation of assets already installed and running at the present time. Production involves flows of material and energy over an extended area through the distributed and interconnected equipment of the process network. Process plants also generate complex information from disparate sources in the form of measurements from the process, mechanical and electrical sub-systems, and elsewhere. Efficient and sustainable operation of assets over a timescale of 30-50 years therefore requires sophisticated approaches for managing information and managing resources to ensure optimal operation. The research topics of PRONTO are (i) data analytics for assessment of the condition and performance of networks of equipment used for production in the process industries, (ii) optimization of use of resources in process networks taking account of real-time information about the condition and performance of the process equipment, and (iii) new concepts for process operation identified as having high potential for impact by industrial partners. The consortium partners include leading universities and well-known companies with high reputations for innovation. The consortium offers the early stage researchers training under the European Industrial Doctorate scheme by involving the non-academic sector extensively in joint supervision of the doctoral training with a strong emphasis on industrially-relevant PhD projects leading to practical demonstrations.

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