Page 43 - ESCAPE PROGRAMME

08:00 – 09:00
REGISTRATIONS
08:30 – 09:00
Presentation of ESCAPE 34
09:00 – 10:00
10:00 – 10:20 10:20 – 12:30
COFFEE BREAK
Olympia Hall
Olympia Hall
Olympia Foyer & Kallirhoe Room
Olympia Hall
GREEN AND SUSTAINABLE PROCESS SYSTEMS ENGINEERING IN THE DIGITAL AGE
WEDNESDAY, JUNE 21, 2023
PLENARY SESSION 4
Chairs: Prof. Christos Maravelias, Prof. Edwin Zondervan
Quo Vadis ChatGPT? Challenges and Opportunities in Process Systems Engineering
Prof. Venkat Venkatasubramanian, Columbia University
SESSION S6-01: Energy Systems (II)
Track 1
21
305
658
90
187
Model-Based Design of Experiments for the identification of microalgae growth models with limiting nutrients
Alberto Saccardo, Beatriz Felices-Rando, Eleonora Sforza, Fabrizio Bezzo
Department of Industrial Engineering, University of Padova, Via Marzolo 9, Padova 35131, Italy
Strategic low-carbon hydrogen supply chain planning under market price uncertainty
Tushar Rathia, Jose M. Pintob, Qi Zhanga
a Department of Chemical Engineering and Materials Science, University of Minnesota, Minneapolis, MN 55455, USA b Linde Digital Americas, Linde plc, Danbury, CT 06810, USA
A Novel Approach for Cost-effective and Sustainable Capacity Expansion Utilizing Process Intensification in Chemical Process Industries
Chinmoy B. Mukta, Selen Cremaschi, Mario R. Eden
Department of Chemical Engineering, Auburn University, Auburn, AL 36849, USA
The controlled environment agriculture: a sustainable agrifood production paradigm empowered by systems engineering
Liang Wanga,d, Guoping Liana,b, Zoe Harrisa, Mark Horlerc, Yang Wangd, Tao Chena
a Faculty of Engineering & Physical Sciences, University of Surrey, Guildford, GU2 7XH, UK
b Unilever R&D Colworth, Sharnbrook, Bedfordshire, MK40 1LQ, UK
c UK Urban AgriTech, 46 Jamaica Street, Liverpool, L1 0AF, UK
d National Innovation Center for Digital Fishery, China Agricultural University, Beijing, 100083, China
Modular vs centralized manufacturing supply chain: identifying the best solution under uncertainty
Alessandro Di Pretoro, Stéphane Negny, Ludovic Montastruc
Laboratoire de Génie Chimique, Université de Toulouse, CNRS/INP, Toulouse, France
Cross-domain Fault Diagnosis for Chemical Processes through Dynamic Adversarial Adaptation Network
490
Ruoshi Qina, Jinsong Zhaoa,b
a State Key Laboratory of Chemical Engineering, Department of Chemical Engineering, Tsinghua University, Beijing, China b Beijing Key Laboratory of Industrial Big Data System and Application, Tsinghua University, Beijing, China
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