Conference article

Automatic Generation of Dynamic Simulation Models Based on Standard Engineering Data

Niklas Paganus
Fortum Power and Heat Ltd., Finland

Marko Luukkainen
VTT Technical Research Centre of Finland Ltd., Finland

Karri Honkoila
Fortum Power and Heat Ltd., Finland

Tommi Karhela
VTT Technical Research Centre of Finland Ltd., Finland

Download articlehttp://dx.doi.org/10.3384/ecp17142776

Published in: Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016

Linköping Electronic Conference Proceedings 142:113, p. 776-782

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Published: 2018-12-19

ISBN: 978-91-7685-399-3

ISSN: 1650-3686 (print), 1650-3740 (online)

Abstract

Dynamic process simulation is used to mitigate risks, reduce costs and improve quality of design in plant engineering. Traditionally, simulation models are created manually from engineering source data. Benefits of utilising simulation are recognised by the industry, but simulation is not exploited to its full potential due to its current laborious nature. Engineering software interoperability improves efficiency in engineering workflows. Required manual work is reduced, enabling faster and more robust design to be conducted. In this paper, work conducted by authors in integrating the dynamic process simulation software Apros into the engineering workflow by automatically creating simulation models based on standard engineering data is reported. A case study was conducted to demonstrate the implemented features. Process engineering data in the Proteus XML format was used as the source data for simulation model generation. The case study shows that the implemented features reduce manual work required, lowering the threshold for utilising simulation.

Keywords

simulation, engineering workflow, interoperability, virtual plant

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