34th European Symposium on Computer Aided Process Engineering /15th International Symposium on Process Systems Engineering

ESCAPE-34/PSE2024

Flavio Manenti, G.V. Rex Reklaitis, Flavio Manenti, G.V. Rex Reklaitis

• Publisher: Elsevier
• Year: 2024
• Print ISBN:
  9780443288241
• eBook ISBN:
  9780443288258
• Topic: Technology & Engineering
• Subtopic: Business Intelligence
• Index: Technology & Engineering

The 34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering, contains the papers presented at the 34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering joint event. It is a valuable resource for chemical engineers, chemical process engineers, researchers in industry and academia, students, and consultants for chemical industries. - Presents findings and discussions from the 34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering joint event

Table of contents

• Cover image
• Title page
• Table of Contents
• Copyright
• Preface
• Scientific Committee
• Towards an Integrated Wide Approach for Sustainable Upstream Field Recovery
• Surrogate modeling application for process system emissions assessment: improving computational performances for plantwide estimations
• Enhancing Solar Photovoltaic Panel Production: A Novel Machine Learning Approach for Optimizing Mexico’s Potential
• Improving styrene polymerization through a commercial simulation software
• CFD-based investigation of the efficiency enhancement due to microstructure reorientation in structured packing
• A lumped parameter approach for determining the pressure gradient in gas-liquid annular flows
• Foliar Uptake Models for Biocides: Testing Structural and Practical Identifiability
• Dynamic Multiscale Hybrid Modelling of a CHO cell system for Recombinant Protein Production
• Dynamic Modelling Approaches in Life Cycle Assessment: A Case Study for the Evaluation of Power-to-Hydrogen
• Transient Flow-Assisted Kinetic Modelling and Reaction Network Identification for Pyrazole Synthesis
• Application of Appropriate Kinetic Models in Developing Pharmaceutical Drug Substance Manufacturing Processes
• DAF Turbidity Removal Dynamics Model Employing LSTM Networks with Monte Carlo Dropout
• Design and Optimization of a sustainable process for the transformation of glucose into high added value products
• Formulation-independent pharmaceutical dry granulation model via gray box approach
• Bayesian Hybrid Models for Simulation of Microbial Biohydrogen Photo-Production Processes
• Loss-in-Weight feeder performance prediction using Machine Learning
• Process Design of Carbon-Neutral Routes for Methanol Synthesis
• Efficient use of energy in distillation: Advancing towards the electrification of the chemical industry
• Modeling Fed-batch Cultures of Yeast for the Production of Heterologous Proteins - an Industrial Experimental Study
• Performance of Piecewise Linear Models in MILP Unit Commitment: Difference of Convex vs. J1 Approximation
• Performance evaluation of several reverse osmosis process configurations for the removal of N-nitrosomethylethylamine (NMEA) from wastewater
• Optimizing Lactic Acid Recovery from Vinasse: Comparing Traditional and Intensified Process Configurations
• Comparison of machine learning based hybrid modelling methodologies for dynamic simulation of chemical reaction networks
• A Mathematical Framework to Study the Impact of Technological Learning on Portfolio Planning
• Dynamic Hybrid Model for Nanobody-based Antivenom Production (scorpion antivenon) with E. coli CH10-12 and E. coli NbF12-10
• Hybrid Modeling of PEM Fuel Cell: Machine Learning of Equilibrium Water Content within a 1D Cell Model
• On the development of hybrid models to describe delivery time in autoinjectors
• Dynamic modeling of particle size and porosity distribution in fluidized bed spray agglomeration
• DoE-integrated Sparse Identification of Nonlinear Dynamics for Automated Model Generation and Parameter Estimation in Kinetic Studies
• Computational Fluid Dynamics and Trust-Region Methods to Optimize Carbon Capture Plants with Membrane Contactors
• Dynamic Modelling of Electrodialysis with Bipolar Membranes using NARX Recurrent Neural Networks
• Modelling a Geothermal Vaporiser: A First Step Towards a Digital Twin
• Development and Application of a Simplified Non-Ideal Mixing Model for Semi-Batch Crystallization
• Analysis of the preferred ethylene production route from carbon dioxide at a supply chain level: results of mathematical modelling for a Teesside case study
• Comparative Assessment of Flexible Natural Gas Monetisation Processes to Products Under Uncertainties: Agent-Based Modelling Approach
• Production of High-Purity Methane via Sorption-Enhanced CO2 Methanation in an Adiabatic Packed Bed Reactor
• Phase-field modeling for freeze crystallization in a binary system
• Design and Optimization of a Steam-assisted Adsorption Process for Direct Air Capture
• Process Robustness Evaluation for Various Operating Configurations of Simulated Moving Bed Chromatography
• State-Based Shrinkage Behavior for Waste Incineration Modeling
• Process Simulation of biofuel production from Waste Cooking Oil
• A virtual entity of the digital twin based on deep reinforcement learning model for dynamic scheduling process
• The assessment of LNG export scenarios for Qatar in the European Gas Market
• Hybrid deep learning model for evaluations of protein-ligand binding kinetic property
• Information sharing for cost-effective risk mitigation in supply chains: A methodological framework
• Optimization of Operating Conditions Using a Crystallizer Model with Local Temperature Control
• System identification of an industrial cascade refrigeration system
• Molecular Reconstruction Method of Petroleum Based on Dual Two-Dimensional Homologous Series Distributions
• Process Modelling for Photo-Iniferter RAFT with Multiple Chain Transfer Agents
• A Study on Thermodynamic Efficiency and Economic Viability of ORC-Based Geothermal Hydrogen Production Systems
• Regional Capacity Expansion Planning of Electricity and Hydrogen Infrastructure: A Norwegian Case Study
• Framework based on a coupled input-yield model for infrastructure-driven agriculture
• Integrating effort- and gradient-based approaches in optimal design of experimental campaigns
• Modelling and Simulation of a Forward Osmosis Process
• Adoption Dynamics of District Heat Networks: An Agent-Based Commercial Model
• Assessment of Technical and Economic Viability in the Transformation of Refinery Vacuum Residue Waste into Cleaner Fuels
• Modelling of a Cartridge-based Fixed Bed Radial Flow Reactor for Methanol Synthesis
• Sustainability and Quality-by-Digital Design of an Integrated End-to-End Continuous Pharmaceutical Process
• Development of a fast-charging protocol considering degradation using high-fidelity lithium-ion batteries
• Applying an Efficient Approach for Modeling and Optimization of Membrane Gas Separation Processes Using Maxwell-Stefan Theory
• Modelling of the Co-gasification of Waste Plastic and Biomass using Oxygen-CO2 Mixtures
• Impact assessment of CO2 capture and low-carbon hydrogen technologies in Colombian oil refineries
• A Task Graph Parallel Computing Architecture for Distillation Column Simulation on Flash Granularity
• Digital Twin Technology In The Thermal Processing Industry Of Granular Material Based On The Extended Discrete Element Method (XDEM)
• Model-based Design of Experiments for the Identification of Kinetic Models of Amide Formation
• A Holistic Approach for Model Discrimination, Multi-Objective Design of Experiment and Self-Optimization of Batch and Continuous Crystallization Processes
• Computer-Aided Assessment of a Droplet Absorber for CO2 Direct Air Capture
• Modelling and Parametric Analysis for Improving Technical Performance of Industrial-Scale Basic Oxygen Furnace Gas Fermentation to Isopropyl Alcohol
• Model-Based Determination of a Stationary Phase Gradient in Liquid Chromatography Using Optimal Control Theory
• Design and simulation of hydrate-based desalination using R-152a refrigerant
• Microfluidic Dynamics coupled with Populational Balance Equations to further describe Water/diesel Microemulsions
• Cleaning Kinetic Model for Carbohydrates- and Protein-based Stains in Automatic Dishwasher
• From Municipal Solid Waste to Sustainable Aviation Fuel: Process Design
• Economic resilience evaluation of wastewater resource recovery in Qatar's fertilizer market
• Computational Molecular Dynamics in Emerging Biological Fields
• Scoping and Identifying Data-Driven Optimization Prospects in the Danish Processing Industry
• GCN-based Soft Sensor Utilizing Process Flow Diagram
• Hybrid Model-based Design Space Determination for an Active Pharmaceutical Ingredient Flow Synthesis using Grignard Reaction
• Development of a Strategy for the Analysis of the Fluid Dynamic Behavior of Sieve Trays for Distillation
• Dynamic Modelling of a Milk Triple Effect Falling Film Evaporator with Mechanical Vapor Recompression
• A Pre-train and Fine-tune Paradigm of Fault Detection and Fault Prognosis for Chemical Process
• A Multi-Criteria Based Approach for Large-Scale Deployment of CO2 Capture, Utilization and Storage
• Accelerating Unsteady Fluid Dynamic Simulations for Taylor-Couette Crystallizer using Snapshot POD and Recurrent Neural Networks
• Process simulation of effects of ammonia co-firing on the thermal performances of the supercritical circulating fluidized bed boiler
• Modelling of PEM Electrolyzer Dynamics for Green Hydrogen Production
• Discovering zeolite adsorption isotherms: a hybrid AI modeling approach
• Simulation and 3E assessment of pre-combustion CO2 capture process using novel Ionic liquids for blue H2 production
• Novel closed-loop precursor re-synthesis assisted by roasting and wastewater electrolysis: Industrial scaled design and simulation
• Use of Image Data in Kinetic Model Development for the Design of Mesenchymal Stem Cell Cultivation Processes
• Ab Initio Prediction of Surface Tension from Fundamental Equations of State using Density Gradient Theory (DGT)
• Model-Based Assessment of Electrochemical Cells and Systems for Atmospheric CO2 Removal
• Enhancing Unit Operation Design: Leveraging Neural Networks to Enforce Physical Hard Constraints
• Design and Energy Evaluation of a Multi-Stage CO2 Separation Process Using Surrogate Model
• Advancing Low-Carbon LNG within Qatar: Integrating CCUS and Carbon Tax Strategies
• Process efficiency enhancement of integrated hydrogen enrichment and liquefaction
• Physics-informed neural networks and time-series transformer for modeling of chemical reactors
• Techno-Economic Analysis of H2 Extraction from Natural Gas Transmission Grids
• Aiding Modular Plant Design by Linking Capability and Transformation Models
• Optimization-based design of distillation columns using surrogate models
• Towards PEA Matching from Simulation as Part of a Digital Twin Concept for Scale-Up in Modular Plants
• Comparative Study on Hydrothermal Gasification and Thermal Gasification via Hydrothermal Carbonization of Digestate Residues from Anaerobic Digestion
• Strategic Decision-Making in Duopolistic Energy and Water Markets: Examining Competition versus Cooperation for Farm Siting Optimization
• Dynamic Modeling of Precipitation in Electrolyte Systems
• Assessing Climate Variability in Tomato Supply Chain Optimization: A Multi-Objective Approach for Qatar’s Tomato Imports
• Developing the final product attribute prediction model in a continuous direct compression process
• A Genetic Algorithm-Based Design for Hydrogen Pipeline Infrastructure with Real Geographical Constraints
• An Attainable Region Approach to Chemical Reaction Equilibrium
• A Nash equilibrium approach to supply chain design of oligopoly markets under uncertainty
• Modelling of PCL Production: Multi-Scale Approach and Parameter Estimation
• Improving food security through water management and allocation: A geospatial optimization approach
• Technical Analysis of Ammonia Converter Catalyst Installation in Ammonia 1B PT Pupuk Kujang Plant
• Model-Based Design of Experiments for Isotherm Model Identification in Preparative HPLC
• Modeling of Carbon Offsetting Industries for Performance Prediction of Emissions Trading Systems
• Multi-objective optimization for pharmaceutical supply chain design: application to COVID-19 vaccine distribution network
• The Reverse Water-Gas Shift Reaction as an Intermediate Step for Synthetic Jet Fuel Production: A Reactor Sizing Study at Two Different Scales
• Modelling, simulation, exergy and economic analyses of thermal cracking of propane using CO2 and steam as diluents
• Moisture content prediction model of a wet granulator - fluid bed drier system based on LSTM networks
• Simulation study of a hybrid cryogenic and membrane separation system for SF6 recovery from aged gas mixture in electrical power apparatus
• Investigating Fluid Flow Dynamics in Triply Periodic Minimal Surfaces (TPMS) Structures Using CFD Simulation
• A deep learning-based energy and force prediction framework for high-throughput quantum chemistry calculations
• Mathematical Modeling of an Enzyme Catalyzed Transamination Reaction with Integrated Product Removal
• Process Integration of Urea Production with Methane Pyrolysis for Reduced Carbon Emissions
• Modelling study of CO2 sequestration by mineral waste carbonation process
• Evaluation of Two-Dimensional Pseudo-Homogeneous and Heterogeneous Modeling Approaches in Steam-Methane Reforming Reactors
• Implementing a Model Library for Wastewater Treatment Plants in an Equation-Oriented Simulator: Numerics and Architecture
• Waste Heat Recovery from PEM Electrolyzer for Desalinated Water Production in Polygeneration Systems
• Modeling and Optimizing Sugarcane-Livestock Integration Systems in Brazil
• Waste-to-X: An enviro-economic assessment of circular chemical production via municipal solid waste gasification
• Vulnerability of Microbial Communities to Dishonest Signals: A biology driven complexity reduced model.
• Accelerating Steam Cracking Simulations with Surrogate-Assisted Parameter Estimation
• The effect of location and inter-cluster networks on the optimal decarbonization of ammonia production
• Applicability of Energy Storage for Mitigating Variability of Renewable Electricity Considering Life cycle Impacts
• Pinch curves computation using differential continuation algorithm
• Assessment of Plastic Recycling Technologies Based on Carbon Resource Circularity Considering Feedstock and Energy Use
• Optimal Experimental Design for (Semi-)Batch Crystallization Processes
• Novel Process for Bio-jetfuel Production Through the Furan Pathway. Techno-Economic, Environmental and Safety Assessment
• Embedding Physics into Neural ODEs to learn Kinetics from Integral Reactors
• Sustainable Acetaldehyde Synthesis from Renewable Ethanol: Analysis of Reaction and Separation Processes
• Operational condition optimization of Schinus terebinthifolius supercritical extraction using machine learning models
• Optimizing circular economy levers to achieve global sustainability
• Climate Change Adaptation Measures for Water-stressed Thermal Power Plants in India
• Techno-economic impacts of using alternative carbon-based feedstocks for the production of methanol
• An Application of a New Nonlinearity Measure to a Rotary Dryer Model
• Reduction of an aerated fermenter CFD model using proper orthogonal decomposition
• A Techno-Economic Evaluation of Potential Routes for Industrial Biosolids Conversion
• A Rigorous Integrated Approach to Model Electrochemical Regeneration of Alkaline CO2 Capture Solvents
• Global modelling and simulation of essential oil extraction processes
• Mathematical issues in Bilevel Mixed-Integer Linear Programming applied to systems biology.
• Combining Energy System Planning with Carbon Emissions Trading Optimisation for Decarbonisation of Emerging Economies
• Optimization of a reactive distillation process to produce propylene glycol as a high value-added glycerol derivative
• Stepwise Parameter Fitting to Combine Industrial and Pilot Plant Datasets
• A Bilevel Framework for Environmental and Economic Optimisation of Hydrogen Supply Chains
• Economic and Environmental Optimization in Sustainable Jet Fuel Production from Butanol
• Latent State Space Extension for interpretable hybrid mechanistic models
• Optimizing deep neural networks through hierarchical multiscale parameter tuning
• Simulation of Hydrogen-Methane Separation with Pressure Swing Adsorption
• Reverse Supply Chain Network Design of a Polyurethane Waste Upcycling System
• Design and Optimization of Green Hydrogen Production System with Wind-Solar Coupled Natural Gas Power Generation Considering Carbon Emission: The Case of China
• A comprehensive gray-box framework for high-fidelity process simulation calibration
• Analysis of Calcium Citrate Salts as Raw Material for Tributyl Citrate Bio-Plasticizer Production: Kinetic Modeling, Process Simulation, and Optimization
• Modeling Hydrothermal Gasification of Digestate Sludge: Reaction Kinetic from Molecular Simulations
• Assessment of the sustainability of intensified CO2 capture schemes
• Development of Electricity Generation System by Combining Plastic Steam Gasification with Solid Oxide Fuel Cells
• Integrated Solid Oxide Systems: Advancing Efficiency in Power Generation through Fuel Cell-Electrolyzer Coupling with Diverse Fuels
• Refining SOFC Performance: Parameter Estimation and Model Validation for Dynamic Energy System Optimization
• Modeling of the coupling of dissolution and crystallization in the digestion tank of a wet phosphoric acid manufacturing process
• Optimization of High-Performance Membrane Processes for Post-Combustion Carbon Capture
• Modeling of the dynamic behaviour of Fischer-Tropsch fixed-bed reactors: a pseudohomogeneous approach
• Variable structure simulation and optimization of start-up of batch distillation columns
• Dynamic Modeling and Validation of an Industrial Vacuum Thermodeasphalting Column for the Regeneration of Used Oil
• Integrated Recycling of End-of-Life Tires through Pyrolysis for Fuels Production with Hydrogen Recovery
• Dynamic Modelling and Surrogate-based Optimization of Auto-thermal Reforming for Enhanced Hydrogen Production
• Using Mathematical Optimization for the Transition to Sustainable and Circular Agriculture
• An industrial case study of dynamic adsorption simulation for Volatile Organic Compound (VOC) pharmaceutical emission abatement
• Techno-Economic Analysis for Biogas Reforming using PSWA: Case Study on Methanol Synthesis
• A Novel Approach to Scheduling Water Injection for Energy Efficiency in Ghawar Oilfield
• Modeling the Market Fluctuations of Ammonia Price
• Economic Optimization of the Synthesis Section of a Small-Scale Biogas-to-Methanol Plant
• Present Status of Mixed Plastic Waste Pyrolysis: Plant Simulation through Aspen Hysys
• Evaluation on Various Pathways for Converting CO2 into Chemicals
• Transferable mini-blender performance impact on continuous direct compaction tablets using a modified Kushner-Moore approach.
• Design and Planning of Socially Responsible Pharmaceutical Supply Chains Considering Procurement Strategies
• Techno-economic and environmental assessment of plastic waste pyrolysis: From a linear to a circular economy
• Modeling Substrate Degradation in Upflow Anaerobic Sludge Blanket Reactors
• Modeling Framework for Optimization of the Life Cycle Sustainability of Lithium-Ion Batteries by Nickel Manganese Cobalt Recycling Process
• Efficient Numerical Methods for Dynamic Simulation of Fixed-bed Reactors
• Modelling and Investigation of Continuous Ideal Flow Crystallizer with Multidimensional Population Balance Equations
• Hydrogen production from biogas with electrified steam methane reforming: system optimization with renewable generation and storages
• Ontology-driven automation of process modelling and simulation
• Towards a Combined, Integrated, and Adaptable Bioethanol and -Ethylene Process Leveraging Flexible Ratios in Hybrid Production
• Leveraging Digital Twin Modeling for Anaerobic Digesters using Anaerobic Digestion Model No. 1 (ADM1) and Neural Network within the Pyomo Framework
• Revitalizing Plastic Waste with Pyrolysis: a UniSim Design© Simulation Case study for Renewable Energy Production from Car Fluff
• Modelling Natural Gas Dehydration by Adsorption under High CO2 Conditions
• Haber-Bosch process alternatives for the production of green ammonia
• Overcoming the challenges of dynamic systems in steady-state simulations: the use of meta-modeling as a surrogate for complex kinetic models
• An Ionic Liquid Mixture Design for CO2 Capture through Bayesian Optimization and Molecular Dynamics Simulation
• A systems approach to model nonconventional streams applied to biocrude production from hydrothermal liquefaction
• Assessment of low-carbon alternative fuels in maritime integrated with CCS on board
• Facilitating the Shift Toward an Environmentally Friendly Plastic Waste Management Economy through Mathematical Optimization
• Optimal Loading of Porphyrin in Porphyrin@Bi12O17Cl2 heterojunction: Application in Photocatalysis
• Process intensification opportunity for reactive-extractive distillation: A new configuration for ternary azeotropic separation
• An Intensified-Integrated Supercritical Extraction-Vacuum Distillation-Reactive Distillation Process to produce Phytosterols, Glycerol and Ultra-Clean Biodiesel from Crude Vegetable Oils
• Techno-economic evaluation of novel dual-function reactor for direct air capture applying superstructure optimisation
• Synthesis of heat-integrated distillation sequences considering vapor recompression under the constraint of fossil energy consumption
• Sustainability Assessments of Styrofoam Waste Recycling for Styrene Monomer Recovery: Economic and Environmental Impact
• Techno-Economic and Life Cycle Assessments of the Utilization of Carbon-Free Energy Sources as an Alternate Fuel in Naphtha Cracker
• Optimization of the catalytic cracking process and biodiesel coproduction supply chain considering seasonal factors
• Analyzing a Database of Digitalized Process Flowsheets to Extract Relevant Initialization Structures for Evolutionary Process Synthesis Methods
• Robust Scheduling of Energy Systems Under Forecasting Uncertainty – A Multi-Parametric Optimization Approach
• Optimal Design of Heat Pump Assisted Distillation Sequences
• Scaling Up and Down Power-to-Methane Facilities with CO2 Capture: Towards Modular Design
• A hierarchical selection and decision matrix for energy-efficient intensified distillation technologies
• Multi-Objective Optimization Approach for Enhancing Flexibility of a Pharmaceutical Tableting Process
• Hybrid Artificial Intelligence-based Process Flowsheet Synthesis and Design using Extended SFILES Representation
• Progressive Hedging Decomposition for Solutions of Large-Scale Process Family Design Problems
• Constructing a Knowledge Graph for Automated HAZOP Analysis
• Distillation Electrification Through Optimal Use of Heat Pumps
• Computer-aided Molecular and Process Design (CAMPD) for Ionic Liquid Assisted Extractive Distillation of Refrigerant Mixtures
• Recycling Rare Earth Elements from End-of-Life Electric and Hybrid Electric Vehicle Motors
• Rule-based Decision Framework for the Digital Synthesis of Optimal Pharmaceutical Processes
• Synthesis, characterization and simulation of thin perovskite films based on calcium titanate (CaTiO3) with possible application in solar modules
• CFD-based Design of Laminated Microdevice with 3D Serpentine Channel for Submillisecond Mixing
• Global sensitivity Analysis on System Design Parameters of Silver Nanoparticles Production
• Intensified biodiesel production from waste palm oil in a plug flow reactor
• Rational Function-based Approach for Integrated Ionic Liquid Solvent Selection and Extractive Distillation Process Design
• Exergy-based optimization for the synthesis of heat pump assisted distillation columns
• Small-scale ammonia production: a superstructure approach
• Detailed Design of Shell and Tube Heat Exchangers with Considering Fouling
• Glycerol Valorisation to Glycerol Carbonate: Process Synthesis, Design and Control
• System optimization of hybrid processes for CO2 capture
• Magnesia-based binders for stabilizing and improving soft soils
• Effective selection of green organics and natural deep eutectic solvents as advanced entrainers by COSMO-RS and group contributions methods for enhanced design of extractive distillation
• Stochastic Technoeconomic Analysis and Optimization of Batch and Continuous Crystallization for Sustainable Pharmaceutical Manufacturing under Supply Delays
• Global system analysis of on-line comprehensive two-dimensional liquid chromatography in gPROMS
• Optimal design and sizing of HRES-powered electrochemical microsynthesis system
• Optimal design of an energy-integrated biogas-powered fuel cell system
• Superstructure Modeling of Lithium-Ion Batteries for an Environmentally Conscious Life-Cycle Design
• Dynamics of dibenzyl toluene hydrogenation and dehydrogenation reactors: design and simulation
• Flexible operation assessment of adsorption-based carbon capture systems via design space identification
• Designing Li-ion Battery Recycling Networks
• Design of Large-scale Industrial Water Networks Based on Multiple Objective Mathematical Programming
• Superstructure-based Optimization for Assessing Defossilization Pathways in Petrochemical Clusters
• Optimizing Circular Economy Pathways: MultiCriteria Decision-Making Tool for Chemical Recycling of Plastic Wastes
• Supply Chains Design for Sustainability: Addressing Correlated Uncertainty in Life Cycle Inventory
• Comparative study of classifier models to assert phase stability in multicomponent mixtures
• Design of chemical recycling processes for PUR foam under uncertainty
• Dynamic analysis of reductant feed method on NH3 synthesis from exhaust NO gas using NO-CO-H2O-H2 reaction
• Computer-Aided Design of Intensified Separation Sequences for a Complex Mixture of Renewable Hydrocarbons
• Integration of Plant Scheduling Feasibility with Supply Chain Network Under Disruptions Using Machine Learning Surrogates
• Sustainability assessment of direct air capture and utilization processes at early-stage
• Optimization with Uncertainty for Pharmaceutical Process Design - Ibuprofen Synthesis as case study
• Modelling\simulation and optimization of large-scale post-combustion CO2 capture using a rotating packed bed absorber and packed bed stripper
• Sustainability-driven conceptual process design at the cooperative Cosun
• Towards pH Swing-based CO2 Mineralization by Calcium Carbonate Precipitation: Modeling and Experimental Analysis
• Analysis of the Catalytic Splitting of H2S for H2 Production
• Spatially Distributed Power-to-Methanol Plants in Dissimilar Locations: Specific or Standardized Designs?
• Flow regimes and reactivity assessment in arrow- and X-microreactors: a combined numerical and experimental approach
• Theoretical Control Properties Assessment for a Carbon-Hydrogen-Oxygen Symbiosis Network with Intensified Processes
• Nonlinear Model Predictive Control for Modified Claus Process
• Model-based Process Development and Operation of a Fluid Bed Granulation Unit to Manufacture Pharmaceutical Tablets
• Evaluating Performance of Hierarchical Scheduling Frameworks for Varying Matte Grades in Copper Smelting Process
• Emission oriented scheduling optimization for sustainable processes
• Analyzing the effects of control Strategies for Determining Process Feasible Space
• Data-Driven Chance-Constrained Optimization for Minimizing the Influence of Material Uncertainty on Product Quality
• Model Predictive Control of bioreactors based on a reformulation of dynamic metabolic network models
• Characterization and Analysis of Multistage Stochastic Programming Problems with Type II Endogenous Uncertainty to Develop Universally Applicable Bounding Approaches
• Fault detection and diagnosis on a gas-lifted oil well network control system
• Multi-objective Optimization of Forced Periodic Operation of Methanol Synthesis in a Fixed-Bed Reactor
• Steady-State Optimality Analysis of MPC Controllers
• Seasonal Setpoints Optimization of WWTP DO Control Based on Artificial Neural Networks Performance Indices Prediction
• Adversarially Robust Real-Time Optimization and Control with Adaptive Gaussian Process Learning
• Online Process Monitoring through Integration of Joint Recurrence Plot and Convolutional Neural Networks
• A Python implementation of a Steady-state Real Time Optimization (SRTO) and Realtime optimization with persistent adaptation (ROPA)
• Hierarchical Reinforcement Learning for Plantwide Control
• Energy- and process real-time optimization through hybrid modeling - a case from Viking Malt A/S
• A MILP Model for the Minimization of Cycle Time in Periodic Production Scheduling using Flexible Operation Shifts
• Nonlinear dynamic optimization for gas pipelines operation
• Learning to Recycle Benders Cuts for Mixed Integer Model Predictive Control
• Logical processing of sequential alarms for safer plant operation
• Design of a Predictive Functional Controller Based on Combination of Data-Driven Tuning and Prediction Methods
• Optimal Control of Industrial Solvent-Based CO2 Capture Plants
• A novel hydrogen-based desalination system for a self-sustaining community
• Machine Learning-Based Soft Sensor for a Sugar Factory's Batch Crystallizer
• Handling nonlinearities and uncertainties of fedbatch cultivations with difference of convex functions tube MPC
• Optimal feed scheduling and co-digestion for anaerobic digestion sites with dynamic demands
• Digital Twins for Process Monitoring and Anomaly Detection
• An implementable zone-based NMPC with Echo State Networks applied to an ESP-lifted oil well for maximum oil production
• Ribbon Splitting in Roller Compaction and Monitoring of a Dry Granulation Process
• A Deep Reinforcement Learning PI Tuning Strategy for Closed-loop Operation of a Recirculating Aquaculture System
• A Prediction Error Adaptive Kalman filter for online spectral measurement correction and concentration estimation
• Novel Panoramic Indicators for Process Operation Stability Assessment through Clustering and Frequency Analysis
• Industrial EP(D)M Polymerization Reactor Simulation: Process Dynamics and Control
• Low Concentrated P- and K-based Fertilizers for Localized Agricultural Supply Chains
• Experimental Implementation of an Economic Model Predictive Control for Froth Flotation
• Ethanol Increase in Gasoline and its Impacts in Manufacturing and Supply Chains
• Optimal flexible operation of an AICR for P2A
• Optimization of biomass-to-green methanol production: Techno-economic and environmental analysis
• A Reinforcement Learning Framework for Online Batch Process Scheduling
• Role of the Throughput Manipulator on Economic and Sustainable Process Operation
• Integrated Urban Energy System for Metropolitan Area: Optimization and Sensitivity Analysis
• Learning based Adaptive Robust Control of a Precipitation Process
• Q-Learning & Economic NL-MPC for Continuous Biomass Fermentation
• Development of an inferential control system of hydrogen concentration of exhaust gas in fuel cell systems
• Advancing Liquid Level Recognition: A Combined Deep Learning and Pixel Manipulation Approach
• Inventory Strategies for Optimizing Resiliency and Sustainability in Pharmaceutical Supply Chains – A Simulation-Optimization Approach
• Big Data Analytics for Advanced Fault Detection in Wastewater Treatment Plants
• Multiphase compartment modelling and systems identification of a U-loop reactor for continuous single cell protein production
• Predicting the coagulation potential of waste lubricant oil (WLO) using multiblock machine learning of NIR and MIR spectroscopy
• Multi-Source Transfer Learning for Chemical Process Fault Diagnosis with Multi-Channel Feature Extraction
• Continuous-time Formulation of Integrated Crude Scheduling and Planning Operations for Petrochemical Sites
• Implementation of Model Predictive Control into the Rigorous Simulator of the Fuel Cell System
• Neural Ordinary Differential Equations Auto-Encoder for Fault Detection in Process Systems
• A complete pipeline for the fusion of multiple heterogeneous redundant sources
• Optimal Operation of Vapor-recompressed Middle Vessel Batch Distillation
• Heterogenous electrolysis plants as enabler of efficient and flexible Power-to-X value chains
• Enabling Load-Flexible Ammonia Synthesis via Polytropic Fixed-Bed Reactors
• Causal-assisted Sequence Segmentation and Its Soft Sensing Application for Multiphase Industrial Processes
• CSVE: Enhancing Uncertainty Quantification in Industrial KPI Prediction
• Bilevel optimization of mixed-integer nonlinear integrated planning and scheduling problems using the DOMINO framework
• A Real-Time Risk-Based Optimization Framework for Safe and Smart Operations
• Flexible relaxation method for infeasibility diagnosis in the optimization model of natural gas pipeline network sales considering component self-consumption gas
• Robust stability analysis of Koopman based MPC system
• Boosted Ensemble Learning for Model Predictive Control with Reconfiguration of Modular Facilities
• Simulation-Based Robust Model Predictive Control for n-Dimensional Linear Multi-Agent Systems with Uncertain and Heterogeneous Dynamics in Modular Plants
• Causality-driven dynamic scheduling of multipurpose batch plants
• Assessment of parameter uncertainty in the maintenance scheduling of reverse osmosis networks via a multistage optimal control reformulation
• Multistage Optimal Control and Nonlinear Programming Formulation for Automated Control Loop Selection
• Deep Neural Networks-Based Fault Diagnosis Model For Process Systems
• Enhancing Human Operators Trust in MPC Controllers Through an Explainable AI Methodology
• Coupling Electrodialysis with bipolar membranes with renewable energies through advanced control strategies
• Real-time optimization with machine learning models and distributed modifier adaptation applied to the MDI-process
• Model Predictive Control Strategies for Continuous Manufacturing Processes
• Integration of real-time optimization and model-predictive control: Application to refinery diesel pool
• An MILP based-approach to logistics of air separation supply chains with a heterogeneous fleet of trucks
• Market-oriented Decision Making in Power Generation Investment
• An Optimization Model for the Maximization of Crop Productivity, Biodiversity, and Ecosystem Services
• Solar-driven Calcium Looping Cycle for Time-flexible Carbon-free Power Generation with Thermochemical Energy Storage Capability
• Model-based techno-economic analysis for integrated synthetic natural gas production system using atmospheric CO2 captured by metal organic framework adsorbent
• TDES:Transformation of the Dutch Energy System
• Integrated design and location of a green hydrogen production chain from waste biomass. A case study in western Andalusia.
• Switching from fossil fuel-based to concentrated solar power driven tri-generation systems: an optimization model
• Energetic Comparison of Electrochemical versus Mechanical Compression of Hydrogen
• A simulation-based approach for energy-flexible scheduling of integrated energy process systems
• Towards Environmentally Sustainable Production of Diphenyl Carbonate: Comparative Analysis of Alternative Pathways
• A Simulation-based Integration of Carbon Capture and Utilization in a Urea Production Process
• Innovative Structure of a Liquefied Natural Gas (LNG) Process by Mixed Fluid Cascade Using Solar Renewable Energy, Photovoltaic Panels (PV), and Absorption Refrigeration System
• Techno-economical evaluation and comparison of various CO2 transportation pathways
• Integrated modelling of Concentrated Solar Power plants networks: Electricity production, storage, conversion and distribution in Spain
• A Novel Optimisation Framework to Design Market-Based Policy Interventions for the Uptake of Alternative Fuels in the UK Chemical Industry
• Integration of process and working-fluid design for Combined Heating and Power (CHP) systems
• Multi-period stochastic optimization of integrating carbon capture and storage/utilization (CCS/CCU) for cement industry
• MMC Rectifier as an Interface for Sustainable Energies Sources on MTDC Grids
• Multi-objective Optimization Applied to the Thermal Hydrolysis and Anaerobic Digestion system for Biosludge from the Pulp Kraft Industry
• Evaluation of energy requirements for chemicals and fuels manufactured via electrochemical reduction of carbon dioxide
• Process simulation of BECCS-to-X: Investigating the potential of Hydrogen and Sustainable Aviation Fuel Production
• Exergo-Techno-Economic Comparison of Power&Biomass-to-Kerosene Pathways
• Design of carbon neutral methanol production via integration of renewable hydrogen and dry reforming process
• Conceptual Design of a Large Ship Propulsion System Fueled by an Ammonia-Hydrogen Blend: Toward a Decarbonized Shipping Transport
• Alternative pathways to sustainable aviation fuel from CO2 and H2: an enviro-economic assessment
• Multi-Objective Optimization of the Renewable Methanol for a Defossilized Production
• Global Optimization via Quadratic Disjunctive Programming for Water Networks Design with Energy Recovery
• A Model Development and Sensitivity Analysis of a Multitubular Thermochemical Recovery for Internal Combustion Engine Exhaust Heat
• Optimization-based framework for techno-economic and environmental assessment of CO2 capture, utilization, and storage strategies
• Systematic Analysis of Energy Transition Pathways for Emission Reduction in the Flat Glass Industry Using MILP Formulation
• Harvesting the Wind - Assessment of Offshore Electricity Storage Systems
• Power system planning integrating hydrogen and ammonia pathways under uncertainty
• Prospective lifecycle design through process modeling of energy recovery from waste plastics
• Techno-Economic and Environmental Sustainability Assessment of Rice Straw-Based Bioenergy with Carbon Capture and Utilization
• Surrogate Based Mixed Integer Linear Programming Model for Decarbonization of an Integrated Gas-Oil Separation Network
• Using CFD to calculate the heat transfer effectiveness of a particle curtain heat transfer device for an atmospheric pressure gas with high effectiveness and extremely low pressure drop
• Scale-bridging Optimization Framework for Desalination Integrated Produced Water Networks
• Electrification in the Petrochemical Industry: Can Flexibility Enable Low-Carbon Utility Systems?
• An efficient EMS for aggregated energy systems including renewables, storages, CHP units and heat pumps
• Electric Heat Pumps and Combined Heat and Power Systems for the Optimal Decarbonisation of the Integrated UK Energy System
• Economic Analysis of Liquid Air Energy Storage Systems
• Prospective life-cycle design of regional resource circulation applying technology assessments supported by CAPE tools
• Hydrogen strategic planning for heat decarbonisation under uncertainty
• A Solar and Wind Energy-based Biomass-to-Methanol System with Coupling of Different Electrolyzers
• Municipal Solid Waste Treatment Processes: Identification and Comparison of Performance Indicators
• A data visualization tool for biomass valorization in Brazil
• Evaluation of different water sources for electrolysis: a study case of the priority regions for green hydrogen production in the state of Bahia
• Design of a Reverse Supply Chain Network for Photovoltaic Panels
• Determining competition between LCA environmental impact categories through MILP single objective optimization - A case study on green hydrogen
• Solving Combined Sizing and Dispatch of PV and Battery Storage for a Microgrid using ADMM
• Screening of solvents for perovskite solar cells using reverse engineering approach
• Towards CO2 Reduction in Middle East: A Techno-Environmental Assessment
• Multiscale Modeling of Solid Oxide Fuel Cells Using Various Microscale Domains Across the Length of the Cell
• Sustainable Transformation of Polystyrene Waste through Pyrolysis
• Wine effluents valorization through a biorefinery scheme
• Circular Economy Assessment of Viable for Fuels for Mobility
• Optimum Green Clean Water Solution for Remote Islands
• A Novel Vapor Recompressed Batch Extractive Distillation for Ethanol Dehydration
• Optimal design supply chain for agricultural waste-based biofuels
• Performance Assessment of Waste and Biomass Two-stage Pyrolysis/Split Product Oxy-gasification (PSPOG) Using Aspen Simulation
• Green Hydrogen Production from Solar-powered Electrolysis: A Novel Optimization Methodology
• Estimating the potential of sustainable aviation fuel enabled aviation decarbonization in China: An integrated resource-technology-economy-environment analysis framework
• Dynamic simulation and optimisation of water and energy consumption in a ceramic plant: Application of the customised ThermWatt computational tool
• Pioneer Options for Sustainable Energy Storage: A Comparative Study of 25 Alternatives Using Data Envelopment Analysis
• Comparing the sustainability level of biofuels with Data Envelopment Analysis
• A Multi-Parametric Optimization Approach for Bi-Level Decision-Making Strategies in Energy-Water Nexus Supply Systems
• A Systematic Analysis of Economic and Environmental Trade-Offs in Hydrogen Supply Chains with Resilience Considerations
• Sustainability analysis of a large-scale calcium looping plant coupled with concentrated solar energy
• Real Time Optimization of Sour Gas Processing Unit via Sulfur Dioxide Emissions Predictive Model
• Design and planning green hydrogen supply chains: characterization and optimization
• Life Cycle Assessment (LCA) of Dimethyl Ether (DME) Production: Fossil Fuels vs. Biogas
• Computer-Aided Drug Screening Based on the Binding Site Selectivity of ACE2: Machine Learning, Docking, and Molecular Dynamics Simulations
• Modelling Liver Preservation
• Design of a Novel Pass-Through Distillation Process for Bioethanol Recovery
• From laboratory scale to innovative spruce-based biorefinery. Note I: Conceptual process design and simulation
• Utilization of Solid Wastes to Satisfy Energy Requirements of LNG Process
• Exploring Biorefinery designs for Agricultural Waste with Stochastic Optimization
• Economic Feasibility of Thermochemical Conversion for Woody Biomass-Derived Liquid Fuels in Spain
• Towards Modelling of an Industrial Aspergillus oryzae Aerobic Fed-batch Fermentation Process – Process Characterization Across Scales
• Assessment Techniques for Convergence and Degree of Freedom in Biologics Modeling
• Computer-aided optimization of cooling temperature profiles in slow freezing for human induced pluripotent stem cells
• Bridging Weak Links in Mechanistic Modeling: Approach and Application in CHO Cell Cultivation for mAb Production
• Enhanced kinetic model parameters for xylitol bioproduction from Candida mogii ATCC 18364
• Improving the Production of PHBV in Cupriavidus necator by Optimal Control
• Mathematical Modelling of a Novel Mineral Carbonation System Based on Biological pH Swing for Atmospheric CO2 Removal
• Dynamic photo-mechanistic modelling of biomass growth and optical density for the cyanobacterium Synechococcus sp. PCC 11901
• Adjustable Robust Optimization with Mixed-Integer Recourse for the Synthesis of Continuous Rufinamide Manufacturing Process
• Semi-mechanistic modelling of ionic liquid-based biomass fractionation
• Climate Change Effect on Microbial Interactions using Surrogate Modelling of an Individual-Based Model
• Stochastic Extreme Pathway generation in view of metabolic network reduction
• Climate change threatens the food safety of the supply chain
• A Conceptual Design and Economic Assessment of a Chitin Biorefinery Based on Shrimp Processing Wastes
• Parameter estimation of multi-substrate biokinetic models of lignocellulosic microbial protein systems
• Sustainable Production and Scale-Up of Succinic Acid from Cyanobacteria
• Minimal Target Indices for Cyanobacteria-Based Biorefineries and Optimal Design of the Metabolic Network
• Use of Bioremediation System to Regenerate Wastewater from Shale Gas Production.
• Onboard or Onsite Hydrogen Production: A Comparative Investigation
• Continuous Production of Recombinant Adeno-associated Viral Vectors via Transient Transfection of HEK293 Cells in Perfusion Bioreactor
• Life cycle design of bioprocess system applying simulation-based approach
• Use of dynamic Flux Balance Analysis for evaluation of the poly-3-hydroxybutyrate production potential of recombinant Escherichia coli
• Flow Phenomena in Renal Arteries with Partial Coverage after Aneurysm
• Thermodynamic approach to simulate the HydroDeOxygenation process of Lignin
• Second-generation biorefinery location selection in Europe using satellite data and crop calendars
• Exergoeconomical and Ecological Analysis of Biogas Valorization Pathways – Comparing a Combined Heat & Power Plant with a Pressurized Water Process
• Improving Butanol and Acetone Production by Two-Stage Fermentation Coupled with Flash Distillation
• Economic optimization of intensified processes to produce bioethanol from lignocellulosic biomass.
• Dynamic simulation and evaluation of integrated chromatography-ultrafiltration in mAb production
• Multi-objective optimisation of an integrated cultivation-aggregation model for mAb production
• From laboratory scale to innovative spruce-based biorefinery. Note II: Preliminary techno-economic assessment
• Novel process for eco-efficient production of formic acid by CO2 hydrogenation
• Extracting and Ranking Metabolic Pathways from Large Metabolic Networks using Graph Theory and Metabolic Flux Analysis
• Intimately Coupled Photocatalysis and Biodegradation Hybrid Systems in Tetracycline Removal
• Data-driven Process Variable Prediction Using Augmented Orthogonal Autoencoder
• Combining automated machine learning and molecular simulation to advance the discovery of COF-based membranes for acid gas separation
• Prediction Method for Reaction Yield of Deuteration of Polyfluoroperylene using Generative AI Techniques
• Enhancing Fault Identification in Chemical Plants: A Multimodal Approach Combining CNN and Continuous Wavelet Transform
• A symbolic regression based methodology for the construction of interpretable and predictive thermodynamic models
• Investigating the Reliability and Interpretability of state-of-the-art Machine Learning Frameworks for Chemical Retrosynthesis
• Application of Artificial Neural Networks in Predicting the Operational Behavior of an Indirect Freezing Desalination System
• Towards Sustainable WWTP Operations: Forecasting Energy Consumption with Explainable Disentangled Graph Convolutional Networks
• Reverse HAZOP: Enhancing Safety Improvements through Natural Language Processing and Text Mining
• Developing Purely Data-Driven Multi-Mode Process Controllers Using Inverse Reinforcement Learning
• Finding advanced MOFs to capture argon from the air through machine-learning and molecular simulation
• Digital Twins of Waste Particles for Waste Bulk Simulations
• Improved Deep Learning Architectures for the Decomposition of Mixed Integer Optimization Problems
• Data-Driven Modeling for Industrial Plants Based on Non-Stationary and Sparsely Sampled Data Streams
• Adaptive Soft-sensor for Sudden Changes in Process Characteristics Based on Transfer Learning
• Non-Parametric Models for Yield Prediction in a Suzuki-Miyaura Coupling
• Learning Interpretable Representation of Koopman Operator for Non-linear Dynamics
• Enhancing real-time data querying in chemical engineering: A bilevel vocabulary-constrained seq2seq approach
• Long-term Constant Relation Analysis of Variables Based on Bayesian Optimization and SSA and application to the monitoring of non-stationary process
• Flexibility Analysis Using Surrogate Models Generated via Symbolic Regression
• Predicting FTS products through artificial neural network modelling
• Automated Reaction Mechanism Constructor
• Integrating Knowledge-Guided Symbolic Regression for Model-Based Design of Experiments to Automate Process Flow Diagram Development
• Harnessing Instruction-Tuned Large Language Models to Mine Structured Omics Data for Predicting Chemical Toxicity
• Achieving Flexibility in High Throughput Liquid Handing experimentation by smart System Design
• Modelling and stochastic optimization of a three-compartment electrochemical reactor for CO2 electroreduction to formic acid using neural networks
• Towards Self-Consistent Graph Neural Networks for Predicting the Ideal Gas Heat Capacity, Enthalpy, and Entropy
• Prototype of Automated Physical Model Builder: Challenges and Opportunities
• A Deep Reinforcement Learning Approach to Slug Flow Control in Oil and Gas Applications
• Bioprocess Control: A Shift in Methodology Towards Reinforcement Learning
• From Data to Alarms: Data-driven Anomaly Detection Techniques in Industrial Settings
• Machine Learning Models Development for the Optimal Production of Aligned Nanofibers
• Digital Twins in Operation: The Role of Robust Surrogate Modelling
• Data-driven diagnostics of variability during changeover in biopharmaceutical freeze-drying
• Machine Learning enabled Life Cycle Assessment for Early-stage Sustainable Process Design
• Personalized Supply Chain Solutions for Sustainable Fashion: Leveraging Social Media Insights and Machine Learning
• Integrated energy-water assessment framework for calcium deficiency control in agricultural greenhouses: A data-driven model predictive control approach
• Delving into machine learning modeling of catalytic reactor system: a case study of steam methane reforming
• Hierarchical deep reinforcement learning for hydrogen supply chain management
• An Integrated Framework: Inverse Design for Optimal Amine Solvent using Reinforcement Learning and Enhanced CO2 Chemical Absorption Processes
• ML-based Automated Systems Identification:A Demonstration for Complex Chemical Processes
• Hyperparameter Optimization of Matheuristics for Hoist Scheduling
• TRBO: Transfer Learning Accelerated Bayesian Optimization
• Estimation of Long-term Power Demand of Oil and Gas Installations using Hybrid Models
• An Economic Assessment Framework for Intelligent Process Monitoring Systems
• Data-driven Discovery of Reaction Kinetic Models in Dynamic Plug Flow Reactors using Symbolic Regression
• Hybrid machine learning for scale-up of biomass production using photobioreactors
• Correlating the partitioning of organic molecules between water and [MeoeMPyrr]+ [FAP]- through machine learning
• Industrial Data Science for Batch Manufacturing
• Automation of Experimental Workflows for High Throughput Robotic Cultivations
• Optimisation of a Production Chain for Active Corrosion Protection via Digitalisation
• Fault Detection and Analysis via Latent Space Differences Between the Plant and the Model Representing Normal Operation
• Dynamic Scheduling of Ethylene Cracking Furnaces System Leveraging Deep Reinforcement Learning
• Towards Intelligent Wastewater Treatment: Prediction of Biodegradation Processes Through the Application of Machine Learning
• An Efficient Approach for Droplet Coalescence Videos Processing based on Instance Segmentation and Multi-Object Tracking Algorithms
• Comparison of different data and information fusion methods to improve the performance of machine learning models
• Reliable Data-Driven Soft Sensor Modeling with the Aid of Stable Loss Function and Sample Graph
• Industrial Edge MLOps: Overview and Challenges
• Operationalization Management: Enhancing Life Cycle Management of Digital Twins
• Multi-objective reinforcement learning for self-optimization of flow chemistry
• Combining Predictive Models and Reinforcement Learning for Tailored Molecule Generation
• Deep Learning for Fast Inference of Mechanistic Models’ Parameters
• Automation in Port Areas and Industry for Safe and Effective Management of Dangerous Goods
• Data Augmentation Scheme for Raman Spectra with Highly Correlated Annotations
• DL based real-time prediction of product formation in biopharmaceutical manufacturing
• Adaptive Physics-Informed Neural Network for Prediction with Evolving Process Parameters
• Potential for Counterfactual Explanations to Support Digitalized Plant Operations
• Understanding Cognitive Behavior in Collaborative Control Rooms through Eye Tracking
• A data-driven approach for constructing the prediction bounds on the output variables using a modified loss function and analysing information retained during development of the model
• Enhancing cell culture understanding in the development of biopharmaceuticals by integrated first-principle modelling and machine-learning
• Towards Cognitive Engineering-Driven knowledge graphs for Chemical Processes: Serialization of Abstraction Decomposition Hierarchy Using OntoCAPE
• Surrogate-Based Optimization of the OPEX of a Modular Plant for Biogas Conversion to Methanol Using the MADS Algorithm
• Toward autocorrection of chemical process flowsheets using large language models
• Transfer Learning of Hydroprocessing Model from Fossil Feedstocks to Waste Plastic Pyrolysis Oil
• Data-Driven Forecasting for Anomaly Detection in a Compressor Unit
• Policy Explanation of Reinforcement Learning Agent in Chemical Process Safety
• Machine Learning Based Modeling and Optimization of an Industrial Thermal Cracking Furnace
• Completing Partial Reaction Equations with Rule and Language Model-based Methods
• LSTM-based soft sensor for the prediction of microalgae growth
• Adaptive Data-driven Modelling and Forecasting of Effluent Treatment Plants
• A Comparative Study of Data-driven Offline Reinforcement Learning for Fed-batch Process Control
• Supporting Carbon Capture, Utilization, and Storage Supply Chains (CCUS) with Blockchain Technology: A Sustainable Solution for Climate Change Mitigation
• Hydrothermal liquefaction data for use in machine learning models
• Application of a Predictive Maintenance Strategy Based on Machine Learning in a Used Oil Refinery
• A novel hybrid framework integrating artificial intelligence and mathematical programming approaches for chemical batch scheduling
• Benders Decomposition to Integrate MILP and Discrete-Event Simulation for Flow Shop Scheduling
• High-dimensional derivative-free optimization via trust region surrogates in linear subspaces
• Sequential Design of Experiments for Parameter Estimation with Markov Chain Monte Carlo
• From legacy systems to data pipelines modernization in fermentation process
• A Convexication-based Outer-approximation Method for Convex and Nonconvex MINLP
• Hybrid Symbolic-Numeric Computation based on Resultant Theory for Process Simulation
• Scenario Reduction Methods for Risk-Averse Demand Response Scheduling under Price Uncertainty
• Hybrid Optimization Strategy Applied to an Industrial Natural Gas Processing Plant
• Multi-Parametric Programming for Design Space Identification
• Unveil the Subconscious Optimum: Near-Pareto-Optimal Design Alternatives for Industrial Energy System Transformation
• A cell expansion framework for property-based automatic compartmentalization of Computational Fluid Dynamics (CFD) models
• Application of Co-Simulation Techniques in Process Systems Engineering and Algorithmic Challenges
• Multi-Perspective Process Safety Analysis for Process Utility Systems under Industry 4.0
• Decomposition methods applied to the design of large-scale CO2 supply chains
• Enhancing Chemical Process Simulation through a GPU-Optimized Framework: Implementation and Validation of Equation-Oriented Methods using CUDA
• A hybrid evolutionary algorithm for multi-energy system planning under uncertainty
• Cost Optimal Desalinated Water Production
• Development of a computational tool for the solution of optimal control problems with metaheuristic techniques
• Progressive Hedging for Optimization of Tree Ensembles as Objective Functions
• An Improved Oracle Adaption for Bilevel Programs
• Modeling and Economic Optimization of an Industrial Site for Natural Gas Processing: an MINLP Approach
• Solving Inverse Optimization Problems via Bayesian Optimization
• Learning reduced-order models for dynamic CO2 methanation using operator inference
• Discontinuous Galerkin spectral element method for continuous chromatography: Application to the Lumped Rate Model without pores
• A multi-agent system for hybrid optimization
• Graphical Deterministic Equivalent Algorithm for Robust Process Optimization
• Portfolio-based Strategy for Bayesian Optimization for Autonomous Selection of Multiple Acquisition Functions and Hyperparameters
• Evaluation Method for Power-to-Liquids Concepts for e-Kerosene Production
• TSeC: an efficient transition state search tool driven by machine learning potential
• Supply chain optimization for biopropane production in Brazil
• Coupling Rule-based reasoning, Exergy analysis and Pinch analysis to optimize and improve the Energy efficiency of Processes
• Scalable Modeling of Infinite-Dimensional Nonlinear Programs with InfiniteExaModels.jl
• Bayesian Optimization Priors for Efficient Variational Quantum Algorithms
• Numerical simulation and experimental validation of a wind turbine using Generative Design
• Development of an Energy Mix evaluation method of an infrastructure based on a multi-layered territorial approach.
• Data-driven robust hydrogen infrastructure planning under demand uncertainty using a hierarchical-based decomposition method
• Case study on quality assurance of third-party models for co-simulation using FMI
• Fast Algorithm for the Continuous Solution of the Population Balance Equation
• A Logic-Based Implementation of the LP/NLP Branch and Bound Algorithm
• FASTMAN-JMP: All-in-one Tool for Data Mining and Model Building
• A Fuzzy Interval Type 2 Logic Approach with Bow-tie Technique and Sensitivity Analysis
• Disjunctive Programming meets QUBO
• Adopting Circular Economy Principals for Sustainable Manufacturing
• Decarbonization strategies by industrial ecology
• Comparison of Domino Effect Analysis Tools using Graph Theory
• Coping with Sustainability, Circularity and Complexity in Optimizing Industrial Symbiosis Networks among Distributed Chemical Processes
• Prototyping cloud application for regional green transformation supported by prospective life cycle assessment
• On Numerical Stability of Relaxations of Generalized Disjunctive Programs
• Biological analogues in advanced water treatment with application in 3D printed graphene oxide and metal-halide BixOyClz/AgCl composite heterogeneous photocatalysis
• Design optimal experiments for parameter identification of a dynamic model with perturbed inputs
• Priority Planning for Methane Emissions Abatement via Marginal Abatement Cost Curves (MAC) and Shapley-Shubik Power Index
• FermentAI: Large Language Models in Chemical Engineering Education for Learning Fermentation Processes
• Interactive Coding Templates for Courses and Undergraduate Research Using MATLAB Live Scripts
• Teaching Process Design – Quo Vadis?
• Serious games for active learning in Optimization of Chemical Processes
• Simulated-Experimental Cross Validation of Multistage Batch Distillation for Water/Propylene Glycol Separation as Educational Exercise
• An Open-Source Software for Low-Code Implementation of Fuzzy Logic for Process Engineering
• Merging digitalization tools for training the new generation of bio-chemical engineers: challenges and perspectives
• Virtual Reality and Digital Twins for Enhanced Learning in Chemical Engineering
• Author Index