University of Oulu

Ohenoja, Markku; Vuolio, Tero; Pätsi, Teemu; Österberg, Petri; Ruusunen, Mika (2022). Development of a Surrogate-model Based Energy Efficiency Estimator for a Multi-step Chemical Process . In: Proceedings of The First SIMS EUROSIM Conference on Modelling and Simulation, SIMS EUROSIM 2021, and 62nd International Conference of Scandinavian Simulation Society, SIMS 2021, September 21-23, Virtual Conference, Finland, pp. 1–7, https://doi.org/10.3384/ecp211851

Development of a surrogate-model based energy efficiency estimator for a multi-step chemical process

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Author: Ohenoja, Markku1; Vuolio, Tero1; Pätsi, Teemu1;
Organizations: 1Environmental and Chemical Engineering Research Unit, Control Engineering, University of Oulu, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 0.6 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2022061646971
Language: English
Published: Linköping University Electronic Press, 2022
Publish Date: 2022-06-16
Description:

Abstract

Energy efficiency is increasingly being considered as a critical measure of process performance due to its importance both in production costs and in environmental footprint. In this work, an indirect energy efficiency estimator was developed for the Tennessee Eastman (TE) benchmark process for the first time. The TE model was first modified to provide the reference values of energy efficiency. A sophisticated model selection scheme was then applied to build the surrogate-model. The results indicate reasonable model performance with mean absolute prediction error around 1.7%. The results also highlight the limitations present in the training set, which are, together with other practical implementation issues, discussed in this work.

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Series: Linköping electronic conference proceedings
ISSN: 1650-3686
ISSN-E: 1650-3740
ISSN-L: 1650-3686
ISBN Print: 978-91-7929-219-5
Issue: 185
Pages: 1 - 7
DOI: 10.3384/ecp211851
OADOI: https://oadoi.org/10.3384/ecp211851
Host publication: Proceedings of The First SIMS EUROSIM Conference on Modelling and Simulation, SIMS EUROSIM 2021, and 62nd International Conference of Scandinavian Simulation Society, SIMS 2021, September 21-23, Virtual Conference, Finland
Host publication editor: Juuso, Esko
Lie,, Bernt
Dahlqvist, Erik
Ruuska, Jari
Conference: The First SIMS EUROSIM Conference on Modelling and Simulation, SIMS EUROSIM 2021, and 62nd International Conference of Scandinavian Simulation Society, SIMS 2021, September 21-23, Virtual Conference, Finland
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
215 Chemical engineering
Subjects:
Funding: This work was partially funded byBusiness Finland via project ‘Operational eXcellence by Integrating Learned information into AcTionable Expertise (OXILATE)’, under the ITEA3 Programme and project ‘Autonomous Processes Facilitated by Artificial Sensing Intelligence(APASSI)’.
Copyright information: © 2022 Markku Ohenoja, Tero Vuolio, Teemu Pätsi, Petri Österberg, Mika Ruusunen. This work is licensed under a Creative Commons Attribution 4.0 International License.
  https://creativecommons.org/licenses/by/4.0/