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Journal of Organic & Inorganic Chemistry

ISSN 2472-1123

2

n d

E d i t i o n o f E u r o S c i C o n C o n f e r e n c e o n

Chemistry

F e b r u a r y 1 9 - 2 0 , 2 0 1 9

P r a g u e , C z e c h R e p u b l i c

Chemistry 2019

T

o achieve the Paris climate goals on the one hand, and on the other, ensure

the European industry to stay competitive, production processes need to

be optimized. Operation costs need to be reduced and an optimal performance

of the processes should allow the reduction of energy consumption and

raw materials, the number of defects/rejects, reduce waste and increase

productivity. The EU Horizon 2020 project COCOP (Coordinating Optimisation

of Complex Industrial Processes,

https://www.cocop-spire.eu/content/home

)

has the objective to define, design and implement a concept that integrates

existing industrial control systems with efficient data management and

optimisation methods and provides means to monitor and control (large)

industrial production processes. This should lead to a tool that assists the

operators in a plant to optimize production continuously, using real-time

monitoring and real-time advice given by the control system. The final objective

of COCOP is to demonstrate prototype implementation and user acceptance.

Within the project, there are two large industrial case studies, one using legacy

(existing physical) models; the other one will involve a neural network based

model. The advantages of neural network based modelling will be illustrated

using a case from the chemical field, but these methodologies are truly field

independent. Finally, unique in this context, is the social innovation part in

which operators and plant staff are considered crucial stakeholders in the

process of developing as well as accepting new ways of working.

Biography

Robert J Meier has completed MSc chemistry at University

of Amsterdam, cum laude in 1974-1979; Charles Coulson

(Advanced) Summer School in Theoretical Chemistry, Oxford

in 1978 & 1980; PhD in experimental physics, University of

Amsterdam in 1984. He served different positions such as

group-leader ESR, Raman spectroscopy and Theoretical

Chemistry at DSM (1985-1993); Research Fellow 'Modelling

and Spectroscopy' within DSM (1993-2001); Corporate Scientist

in the DSM Research organization (2001-2010); Programme

manager Corporate R&D programme Industrial Chemicals

(50%) and Corporate Scientist (50%) DSM (2002-2009); Visiting

Scientist Research Center Juelich, Germany (part-time, 2002-

2014); Principal Scientist In Silico Experimentation (2010-

2018) and Senior Grants Manager DSM Materials Sciences

(2014-till date). He was appointed as Visiting Fellow Chemistry

Department of the University of York (1994-1997) and Honorary

Visiting Professor University of York (1997-2016). He (Co-)

Authored 134 peer reviewed publications, book on polymer

analysis, several worlds’ first break-throughs.

rob.meier@dsm.com

The optimisation of complex industrial processes

Robert J Meier

DSM Materials Science Center, The Netherlands

Robert J Meier, J Org Inorg Chem 2019, Volume: 5

DOI: 10.21767/2472-1123-C1-020