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
|Author:||Ohenoja, Markku1; Vuolio, Tero1; Pätsi, Teemu1;|
1Environmental and Chemical Engineering Research Unit, Control Engineering, University of Oulu, Finland
|Online Access:||PDF Full Text (PDF, 0.6 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2022061646971
Linköping University Electronic Press,
|Publish Date:|| 2022-06-16
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.
Linköping electronic conference proceedings
|Pages:||1 - 7|
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:||
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
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)’.
© 2022 Markku Ohenoja, Tero Vuolio, Teemu Pätsi, Petri Österberg, Mika Ruusunen. This work is licensed under a Creative Commons Attribution 4.0 International License.