Page 23 - ESCAPE PROGRAMME

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GREEN AND SUSTAINABLE PROCESS SYSTEMS ENGINEERING IN THE DIGITAL AGE
MONDAY, JUNE 19, 2023
Optimal energy management in greenhouses using distributed hybrid DRL-MPC framework
Benjamin Decardi-Nelson, Fengqi You
Cornell University, Ithaca, New York, 14853, USA
Process as a battery: Robust dynamic optimal operation of zeolite crystallization in a COBR with respect to the carbon footprint of electric power
Robin Semrau, Sebastian Engell
TU Dortmund University, August-Schmidt-Straße 1, 44227 Dortmund, Germany
16:50 – 18:20
Attica Hall
SESSION S2-03: Advances in Optimization (II)
Track 3
Global optimization of symbolic surrogate process models based on Bayesian learning
Tim Forster, Daniel Vázquez, Gonzalo Guillén-Gosálbez
Department of Chemistry and Applied Biosciences, Institute for Chemical and Bioengineering, ETH Zurich, Vladimir-Prelog-Weg 1, 8093 Zurich, Switzerland
A graph classification approach to determine when to decompose optimization problems
Ilias Mitrai, Prodromos Daoutidis
Department of Chemical Engineering & Materials Science, University of Minnesota, Minneapolis, 55455 MN, USA
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16:50 – 18:20 Conf. Room I
Machine-Learning-Powered process design for the recycling of waste polyurethane
Luca Bosetti, Benedikt Alexander Winter, Johanna Lindfeld and André Bardow
Energy and Process System Engineering, ETH Zurich, 8092 Zurich, Switzerland
Data-driven modeling to predict the rate of Boil-off Gas (BOG) generation in an industrial LNG storage tank
Suraj Prakash Singha, Rajagopalan Srinivasana,b, I. A. Karimic
a Department of Chemical Engineering, Indian Institute of Technology Madras, Chennai 600036, India
b American Express Lab for Data Analytics, Risk &Technology, Indian Institute of Technologuy Madras, Chennai 600036, India c Department of Chemical and Biomolecular Engineering, National University of Singapore, Singapore
Hybrid Modeling and Multi-Fidelity Approaches for Data-Driven Branch-and-Bound Optimization
Suryateja Ravutlaa, Jianyuan Zhaib, Fani Boukouvalaa
a Department of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332 USA b Engineering & Data Sciences, Cargill Inc, Shanghai, 200031, China
An inverse optimization approach to decision-focused learning
Rishabh Gupta, Qi Zhang
Department of Chemical Engineering &Materials Science, University of Minnesota, Minneapolis, MN 55455, USA
Stable two-stage scenario generation via game-theoretic optimisation
Georgios L. Bounitsis, Lazaros G. Papageorgiou, Vassilis M. Charitopoulos
The Sargent Centre for Process Systems Engineering, Department of Chemical Engineering, University College London, Torrington Place, London WC1E 7JE, UK
An Event-Based Continuous-Time MILP for Short-Term Crude Oil Scheduling
İrem Marttina,b, Sena Kurbana, Gizem Kuşoğlu Kayaa, Özgür Kabakb, Y. İlker Topcub
a Turkish Petroleum Refinery, 41780, Körfez, Kocaeli, Turkey
b Industrial Engineering Department, Faculty of Management, Istanbul Technical University, 34367, Sarıyer, Istanbul, Turkey
SESSION S2-04: Data Driven Applications (II)
Track 4
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