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Digital Library

of the European Council for Modelling and Simulation

 

Title:

Modeling Techniques For Integration Of Process Systems

Authors:

Edwin Zondervan, André B. de Haan

Published in:

 

(2009).ECMS 2009 Proceedings edited by J. Otamendi, A. Bargiela, J. L. Montes, L. M. Doncel Pedrera. European Council for Modeling and Simulation. doi:10.7148/2009 

 

ISBN: 978-0-9553018-8-9

 

23rd European Conference on Modelling and Simulation,

Madrid, June 9-12, 2009

Citation format:

Zondervan, E., & de Haan, A. B. (2009). Modeling Techniques For Integration Of Process Systems. ECMS 2009 Proceedings edited by J. Otamendi, A. Bargiela, J. L. Montes, L. M. Doncel Pedrera (pp. 334-337). European Council for Modeling and Simulation. doi:10.7148/2009-0334-0337

DOI:

http://dx.doi.org/10.7148/2009-0334-0337

Abstract:

Increasing social, economic and environmental pressure force the process industry to look for new ways to improve the overall operation of their process systems.Since these systems are operated at different levels of decision (apparatus, plant, enterprise, etc.) integration of the different levels is expected to lead to significant improvements in system efficiency (energy, waste, costs, quality, product distribution, logistics, etc). Integration also results in increased mathematical

complexity that can not be handled with the current numerical methods. This leads inevitably to a paradox: the integrated problem needs to be decomposed again into simpler sub-problems that are solved independently providing sub-optimal solutions. This paper will discuss why integration fails and which steps are needed to break the paradox. Focus will be on new modeling techniques for the different decision levels.

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