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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.comThe 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