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Open AccessFeature PaperArticle

Digital Twin for Monitoring of Industrial Multi-Effect Evaporation

1
Programa de Engenharia Química/COPPE, Universidade Federal do Rio de Janeiro, Cidade Universitária, CP 68502, CEP 21941-972 Rio de Janeiro, RJ, Brazil
2
OptimaTech Ltda., CEP 21941-614 Rio de Janeiro, RJ, Brazil
*
Author to whom correspondence should be addressed.
Processes 2019, 7(8), 537; https://doi.org/10.3390/pr7080537
Received: 31 March 2019 / Revised: 11 July 2019 / Accepted: 16 July 2019 / Published: 15 August 2019
(This article belongs to the Special Issue Modeling, Simulation and Control of Chemical Processes)
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Abstract

Digital twins are rigorous mathematical models that can be used to represent the operation of real systems. This connection allows for deeper understanding of the actual states of the analyzed system through estimation of variables that are difficult to measure otherwise. In this context, the present manuscript describes the successful implementation of a digital twin to represent a four-stage multi-effect evaporation train from an industrial sugar-cane processing unit. Particularly, the complex phenomenological effects, including the coupling between thermodynamic and fluid dynamic effects, and the low level of instrumentation in the plant constitute major challenges for adequate process operation. For this reason, dynamic mass and energy balances were developed, implemented and validated with actual industrial data, in order to provide process information for decision-making in real time. For example, the digital twin was able to indicate failure of process sensors and to provide estimates for the affected variables in real time, improving the robustness of the operation and constituting an important tool for process monitoring. View Full-Text
Keywords: digital twin; multi-effect evaporation; evaporation modeling; dynamic model; sugar industry; monitoring; softsensor digital twin; multi-effect evaporation; evaporation modeling; dynamic model; sugar industry; monitoring; softsensor
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Soares, R.M.; Câmara, M.M.; Feital, T.; Pinto, J.C. Digital Twin for Monitoring of Industrial Multi-Effect Evaporation. Processes 2019, 7, 537.

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