2024 AIChE Annual Meeting

Session: 10A: Poster Session: Interactive Session: Systems and Process Design

This is the general poster session for CAST 10A - Systems and Process Design. All contributions in the areas of process/product design and analysis will be considered. CAST posters presented at the Annual Meeting will be considered for the CAST Best Poster Award.

Chair

Miller, D., Rose-Hulman Institute of Technology

Co-Chairs

Zanfir, M., Linde

Presentations

(371n) A Novel Methodology to Assess Safety of Process Streams at the Conceptual Design Stage
(371i) Module LEVEL LCA for Analysis of SCOPE 1,2 and 3 Emissions of Chemical Plants – Implementation in Python
(371as) Modular Forms in Combinatorial Optimization
(371ar) Advanced Integration Strategies and Machine Learning-Based Superstructure Optimization for Power-to-Methanol
(371h) Sustainable Management for a Salt Lake Basin with a Water-Food-Energy-Carbon Nexus Approach with Dynamic Optimization
(371ab) Energy and Cost Analysis of Direct Air Capture Using Laminate Structured Gas-Solid Contactors
(371u) AI-Based Decision Making of Steam Methane Reforming Operation Strategies from Fluctuated Biogas Production.
(371q) From Flexibility Evaluation to Economic Optimization: An Iterative Multi-Objective Framework for Process Design Under Uncertainty
(371r) Optimization and Uncertainty Management of Wind Power Generation Using Natural Gas Hydrogen Mixture
(371d) Multiscale Modeling of Atomic Layer Deposition Process for Optimal Operation : Integration of Kinetic Monte Carlo and Computational Fluid Dynamics
(371e) Supply Chains Optimization through Hybrid Tools
(371k) A Reinforcement Learning Approach with Masked Agents for Chemical Process Flowsheet Design
(371aq) Studies of sCO2 Power Cycles for Sustainability
(371a) Machine Learning on Prediction Hydrogen Production from Biomass and Plastic Waste Gasification
(371t) Two-Stage Chance-Constrained Programming for Refinery Optimization Under Uncertainty
(371y) A Systematic Approach for Characterizing Probabilistic Operating Space Under Hybrid Uncertainties
(371af) Low-Cost Resource Management Considering Life Cycle Impacts
(371b) Forcing Signal Optimization and Simultaneous Simulation Approaches Applied to Dynamic/Programmable Catalysis
(371l) Automatic Design and Optimization of Extractive Distillation Sequence for Multicomponent Azeotropic Systems
(371o) Integrating Multiscale Modeling and Simulation (MMS) and Machine Learning (ML) for Chemical Engineering Applications
(371v) Uncertainty-Conscious Model-Based Design of Human Mesenchymal Stem Cell Manufacturing Processes
(371ao) Enhancing Circular Economy through Calcium Looping: Technoeconomic and Life Cycle Insights into Repurposed Steel Slag for CO2 Capture
(371g) Identification of Hybrid Population Balance Models for Mechanochemical Depolymerization
(371m) Analysis of Decision Support System for Control Room Operators Using Cognitive Measures.
(371an) Synthesis and Comparison of Carbon Dioxide Emissions Free Hydrogen Production
(371p) Computer-Aided Exploration of Cryoprotective Agents for Stem Cell Manufacturing
(371w) Towards Global Robust Optimisation of Non-Convex Continuous Problems: Application to Pooling Problems
(371ag) Development of a Systematic TEA Framework to Assess Emerging Designs for Electrified Chemical Processes
(371c) Modeling Air Separation Via Pressure-Swing Adsorption in Python for Use in Urea Production
(371x) Meteorological Feasibility of a Moisture Capture System from Air Using Mixed-Integer Linear Fractional Programming
(371ap) Game Theory-Informed Blockchain Framework for Social Life Cycle Assessment: Enhancing Sustainability in Germanium Extraction from PV Scrap
(371s) Design and Operation of Carbon Capture, Utilization, and Storage (CCUS) Supply Chain Networks Under Uncertainty
(371ad) Multi-Scale Dynamic Techno-Economic Analysis of Pulsed Electrochemical CO2 Reduction Process
(371z) Extrapolation Error Quantification for the Discovery of Optimal Experimental Conditions
(371ak) Multistage Distributionally Robust Optimization for the Design of Hybrid Energy-Driven Multi-Network Processes Under Uncertainty
(371aa) Feasibility Study and Machine Learning-Based Optimization for Shipboard CO2 Capture Leveraging Available Energy Sources
(371j) Synthesis and Global Optimization of Heat-Integrated Thermally Coupled Distillation Systems