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RD EUROPEAN SYMPOSIUM ON COMPUTER-AIDED PROCESS ENGINEERING
MONDAY, JUNE 19, 2023
18-21 JUNE 2023
ATHENS-GREECE
    A novel neural network bounds-tightening procedure for multiparametric programming & control
Dustin Kenefakea,b, Rahul Kakaodkara,b, Moustafa Alia,b, Efstratios N. Pistikopoulosa,b
a Texas A&M Energy Institute, Texas A&M University, College Station, USA
b Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, USA
Development of a Centralized Classifier for Decentralized Decision Making
Marco S. Reis, Eugeniu Strelet, Joel Sansana, Margarida J. Quina, Licínio M. Gando-Ferreira, Tiago J. Rato
Univ Coimbra, CIEPQPF, Department of Chemical Engineering, Rua Sílvio Lima, Pólo II – Pinhal de Marrocos, 3030-790 Coimbra, Portugal
Fault Detection and Diagnosis for Chemical Processes based on Deep Neural Networks with Continuous Wavelet Transform
Chinatsu Ukawaa, Yoshiyuki Yamashitab
a Department of Food and Energy Systems Science, Graduate School of Bio-Applications Systems Engineering,
Tokyo University of Agriculture and Technology, 2-24-16 Naka-cho, Koganei, Tokyo 184-8588, Japan
b Department of Chemical Engineering, Tokyo University of Agriculture and Technology, 2-24-16 Naka-cho, Koganei,
Tokyo 184-8588, Japan
Online real-time multi-parameter optimization solution based on parallel EGO algorithm
Xuerong Gua, Siyu Yanga,b
a School of Chemistry and Chemical Engineering, South China University of Technology, Guangzhou, 510640, PR China
b Guangdong Key Laboratory of Green Chemical Products Technology, South China University of Technology, Guangzhou,
510640, PR China
16:50 – 18:20 Templar Hall
Dynamic Modeling and Control of CO2 Capture Systems with a Biphasic Solvent
Panagiotis Kazepidisa,b, Athanasios I. Papadopoulosa, Panos Seferlisa,b
a Chemical Process & Energy Resources Institute (C.P.E.R.I.), Center for Research and Technology Hellas (CE.R.T.H.), P.O. Box 60361, 57001, Thermi-Thessaloniki, Greece
b Department of Mechanical Engineering, Aristotle University of Thessaloniki, P.O. Box 484, 54124 Thessaloniki
Real-time control and scheduling decision making in fermentation-based food process operations
Isuru A. Udugamaa, Keegan K. Halla, Christoph Bayerb, Brent R. Youngc, Timothy G. Walmsleya
a Ahuora – Centre for Smart Energy Systems, School of Engineering, University of Waikato, Hamilton, 3240, New Zealand b Department of Process Engineering, TH Nürnberg, Nürnberg, 90489, Germany
c Industrial Information and Control Centre, Department of Chemical & Materials Engineering, The University of Auckland,
Auckland, 1010, New Zealand
Machine learning-based product concentration estimation, real-time optimization, and multivariable control of an experimental electrochemical reactor
Berkay Çıtmacıa, Junwei Luoa, Joon Baek Janga, Carlos Morales-Guioa, Panagiotis D. Christofidesa,b a Dept. of Chemical and Biomolecular Engineering, University of California, Los Angeles 90095, USA
b Dept. of Electrical and Computer Engineering, University of California, Los Angeles 90095, USA
A machine learning dynamic modelling scheme for wastewater treatment plants using cooperative particle swarm optimization and neural networks
Teo Protoulisa Ioannis Kalogeropoulosb,c, Ioannis Kordatosa, Haralambos Sarimveisb, Alex Alexandridisa
a Department of Electrical and Electronic Engineering, University of West Attica, Ancient Olive Grove Campus, Thivon 250 &
P. Ralli, Aigaleo, 12244, Greece
b School of Chemical Engineering, National Technical University of Athens, Heroon Polytechneiou 9, Zografou, Greece c Systemica - G.Vangelatos & Co L.P., Ethnikis Antistaseos 70, Athens, Greece
             SESSION S2-02: Operations and Control (II)
 Track 2
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