14th International Symposium on Process Systems Engineering

14th International Symposium on Process Systems Engineering, Volume 49 brings together the international community of researchers and engineers interested in computing-based methods in process engineering.

Uloženo v:
Podrobná bibliografie
Hlavní autoři: Yamashita, Yoshiyuki, Kano, Manabu
Médium: E-kniha
Jazyk:angličtina
Vydáno: Chantilly Elsevier 2022
Vydání:1
Edice:Computer Aided Chemical Engineering
Témata:
Chemical engineering
Chemical engineering-Data processing-Congresses
ISBN:9780323851596, 0323851592
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Obsah:
  • 4. Solution algorithm -- 5. Computational studies -- 6. Conclusion -- References -- 21. Design of a novel hybrid process for membrane assisted clean hydrogen production with CO₂ capture through liquefaction -- Abstract -- Keywords -- 1. Background -- 2. Hybrid process concepts -- 3. Modelling approach and design basis -- 4. Key performance indicators (KPIs) -- 5. Results and discussion -- 6. Conclusions -- Acknowledgements -- References -- 22. Analysis and design of integrated renewable energy and CO₂ capture, utilization, and storage systems for low-cost emissions reduction -- Abstract -- Keywords -- 1. Introduction -- 2. Methods -- 3. Case Study -- 4. Conclusions -- References -- 23. Techno-economic-environmental assessment for optimal utilisation of CO₂ in the Fischer-Tropsch gas-to-liquid process -- Abstract -- Keywords -- 1. Introduction -- 2. Methodology -- 3. Results -- 4. Conclusions -- References -- 24. Machine Learning-based Hybrid Process Design for the Recovery of Ionic Liquids -- Abstract -- Keywords -- 1. Introduction -- 2. Design method -- 2.1. ANN-GC model -- 2.2. Optimal salting-out agent design -- 2.3. Hybrid recovery process scheme -- 3. Case studies -- 4. Conclusions -- References -- 25. A Short-Cut Method for Synthesis of Solvent-based Separation Processes -- Abstract -- Keywords -- 1. Introduction -- 2. Methodology -- 2.1. Solvent short-cut evaluation method -- 2.2. Validation model -- 3. Results and Discussion -- 4. Conclusions -- References -- 26. Modeling and Optimization of Ionic-Liquid-Based Carbon Capture: Impact of Thermal Degradation Kinetics -- Abstract -- Keywords -- 1. Introduction -- 2. Flowsheet description -- 3. Process economic optimization -- 4. Conclusions -- 5. Acknowledgments -- References -- 27. Process Design of Formic Acid and Methanol Production from CO₂ Promoted by Ionic Liquid: Techno-Economic Analysis
  • 3.2. Process level: model-based assessment of temperature profiles in slow freezing -- 3.3. Society level: cost-effectiveness analysis in the manufacture of allogeneic hiPS cells in Japan -- 4. Lessons learnt towards future research -- 5. Conclusions -- Acknowledgement -- References -- 10. Artificial Intelligence and Process Systems Engineering -- Abstract -- Keywords -- Contributed Papers: Process and Product Design/Synthesis -- 11. Reinventing the Chemical/Materials Company: Transitioning to a Sustainable Circular Enterprise -- Abstract -- Keywords -- 1. The Chemicals and Materials Industry (CMI) -- 2. GHG and Materials Emissions from CMI -- 3. Towards the Circularization of CMI -- 4. The Research Scope of Sustainable Circular CMI (S-CCMI) -- 5. Conclusions -- Acknowledgements -- References -- 12. Value Chain Optimization of a Xylitol Biorefinery with Delaunay Triangulation Regression Models -- Abstract -- Keywords -- 1. Introduction -- 2. Methodology -- 2.1. Mechanistic Process Models -- 2.2. Delaunay Triangulation Regression -- 2.3. Gaussian Process Regression -- 2.4. Value Chain Optimization -- 3. Application -- 3.1. Case Study -- 3.2. Optimization Problem -- 3.3. Results -- 4. Conclusion -- Acknowledgments -- References -- 13. Evaluating the Impact of Model Uncertainties in Superstructure Optimization to Reduce the Experimental Effort -- Abstract -- Keywords -- 1. Introduction -- 2. Methodology -- 2.1. Superstructure optimization under uncertainty -- 2.2. Linear discrimination analysis -- 2.3. Optimal design of experiments -- 3. Case study -- 3.1. Application of the integrated methodology -- 4. Conclusion and Outlook -- Acknowledgement -- References -- 14. Retrosynthesis Pathway Design Using Hybrid Reaction Templates and Group Contribution-Based Thermodynamic Models -- Abstract -- Keywords -- 1. Introduction
  • 9780323853668v1_WEB -- Front Cover -- 14th INTERNATIONAL SYMPOSIUM ON PROCESS SYSTEMS ENGINEERING -- Copyright -- Contents -- Preface -- International Program Comittee -- Invited Papers and Extended Abstracts -- 1. Actions toward carbon-neutral society with fuel cell technology -- Abstract -- Keywords -- 1. The world trend of carbon neutrality and hydrogen energy -- 2. Fuel cell development for various applications and usages -- 3. Collaboration for developing fuel cells and expectations for PSE -- Conclusions -- References -- 2. Challenges and Opportunities for Process Systems Engineering in a Changed World -- Abstract -- Keywords -- 1. Introduction -- 2. PSE methods and tools -- 2.1. Methods -- 2.1.1. Modelling -- 2.1.2. Numerical solvers -- 2.1.3. Algorithms -- 2.2. Computer-aided tools -- 3. Challenges and roles of PSE -- 3.1. Sustainable process networks -- 3.2. Chemical process safety -- 3.3. Health and pharma sector -- 3.4. Chemicals based products and their substitution -- 4. Perspectives (Opportunities) -- 5. Conclusions -- References -- 3. PSE Tools and Challenges in the Development of Advanced Pharmaceutical Manufacturing -- Abstract -- Keywords -- 1. Introduction -- 2. Application in solid-based drug and biologics manufacturing -- Acknowledgement -- References -- 4. Experience and Perspectives on our Journey towards Deep Decarbonization -- Abstract -- Keywords -- 1. Introduction -- 2. Reduce -- 3. Recycle / Reuse -- 4. Replace -- 5. Conclusions -- Acknowledgements -- References -- 5. Surrogate Modeling and Surrogate-Based Optimization with Stochastic Simulations -- Abstract -- Keywords -- 1. Introduction -- 2. Framework for Training Surrogate Models for Stochastic Simulations -- 2.1. PRESTO - Predictive REcommendations of Surrogate models To approximate and Optimize
  • 2.2. PARIN - PARameter as INput-variable: A novel approach for surrogate modeling of stochastic simulations -- 3. Computational Experiments -- 3.1. Metric for evaluating framework's performance -- 3.2. Stochastic kriging -- 4. Results and Discussion -- 4.1. Selected Surrogate Modeling Techniques by PRESTO -- 4.2. Surrogate modeling of stochastic simulations using PARIN -- 5. Conclusions -- References -- 6. Application of PSE into social changes: biomass-based production, recycling systems, and regional systems design and assessment -- Abstract -- Keywords -- 1. Introduction -- 2. Reviews on application of PSE -- 2.1. CNFRP production from lignocellulosic biomass (Kanematsu et al., 2021) -- 2.2. LiB recycling systems (Kikuchi et al., 2021) -- 2.3. Regional systems design in Tanegashima (Kikuchi et al., 2020) -- 3. Application of PSE into social changes -- 3.1. Arguments for social changes -- 3.1.1. Design and assessment considering TRL -- 3.1.2. Prospective LCA for emerging technology -- 3.1.3. Technoeconomic, socioeconomic, and sociotechnical analyses -- 3.1.4. Social changes with process systems design and assessments -- 4. Conclusions -- Acknowledgement -- References -- 7. Q-MPC: Integration of Reinforcement Learning and Model Predictive Control for Safe Learning -- Abstract -- Keywords -- 1. Introduction -- 2. Q-model predictive control -- 3. Simulation studies -- 4. Conclusions -- References -- 8. Presentation abstract: Optimization formulations for machine learning surrogates -- Abstract -- Keywords -- 1. Main Text -- References -- 9. Pharma PSE: a multiscale approach for reimagining pharmaceutical manufacturing -- Abstract -- Keywords -- 1. Introduction -- 2. Multiscale research viewpoint -- 3. Research example on cryopreservation of hiPS cells -- 3.1. Molecule/cell level: computational screening of cryoprotective agents
  • 2. Retrosynthetic analysis framework using hybrid reaction templates and GC-based thermodynamic models -- 2.1. Step 1: Generate virtual routes -- 2.2. Step 2: Verify virtual routes -- 3. Case studies -- 4. Conclusions -- References -- 15. Optimization-based Design of Product Families with Common Components -- Abstract -- Keywords -- 1. Introduction -- 2. Product Family Design Formulation -- 3. Process Case Study -- 4. Conclusion -- References -- 16. Economic evaluation and analysis of electricity and nano-porous silica productions from rice husk -- Abstract -- Keywords -- 1. Introduction -- 2. Process description -- 3. Methodology of techno-economic analysis -- 4. Results -- 4.1. Process performance -- 4.2. Economic values (TCI, TPC, POI, and PBP) -- 5. Conclusions -- References -- 17. Future biofuels: A Superstructure-Based Optimization Framework Integrating Catalysis, Process Synthesis, and Fuel Properties -- Abstract -- Keywords -- 1. Introduction -- 2. Superstructure description -- 3. Mathematical model -- 4. Results -- 5. Conclusions -- References -- 18. Superstructure Optimization of Biodiesel Production from Continuous Stirred Tank and Membrane Reactors -- Abstract -- Keywords -- 1. Introduction -- 2. Superstructure development -- 2.1. Problem statement -- 2.2. Superstructure topology -- 2.3. Mathematical model -- 3. Results and discussion -- 4. Conclusions -- References -- 19. Process Design and Techno-Economic Analysis of Biomass Pyrolysis By-Products in the Ontario and Aichi Steel Industries -- Abstract -- Keywords -- 1. Introduction -- 2. Methods -- 3. Results -- 4. Conclusions -- References -- 20. Optimal design of solar-aided hydrogen production process using molten salt with CO2 utilization ethylene glycol production -- Abstract -- Keywords -- 1. Introduction -- 2. Problem description -- 3. Mathematical formulation
  • Abstract