31st European Symposium on Computer Aided Process Engineering

ESCAPE-31

Metin Türkay, Rafiqul Gani

• Publisher: Elsevier
• Year: 2021
• Print ISBN: 9780323885065
• eBook ISBN: 9780323885133
• Topic: Technology & Engineering
• Subtopic: Chemical & Biochemical Engineering
• Index: Technology & Engineering

The 31st European Symposium on Computer Aided Process Engineering: ESCAPE-31, Volume 50 contains the papers presented at the 31st European Symposium of Computer Aided Process Engineering (ESCAPE) event held in Istanbul, Turkey. It is a valuable resource for chemical engineers, chemical process engineers, researchers in industry and academia, students and consultants in the chemical industries. - Presents findings and discussions from the 31st European Symposium of Computer Aided Process Engineering (ESCAPE) event

Table of contents

• Cover image
• Title page
• Table of Contents
• Copyright
• Preface
• National Organizing Committee
• Theme Coordinators
• International Scientific Committee
• Conference Secretariat
• PROCESS-PRODUCT DESIGN AND INTEGRATION
• Explanatory and Predictive Analysis of Naphtha Splitter Products
• Multi-objective optimization of the supply chain for the production of biofuels and high value-added products in Mexico: importance of the water footprint
• Synthesis of Combined Heat and Mass Exchange Networks Via a Trust Region Filter Optimisation Algorithm Including Detailed Unit Designs
• Computer-Aided Refrigerant Design: New Developments
• Comparative assessment of black liquor upgraded gasification in integrated kraft pulp, methanol and dimethyl ether production plants
• Sustainable Process Design and Synthesis for HDPE Recycling
• A Novel Process Design for Waste Respirator Processing
• Design and optimization of a shell-and-tube heat exchanger using the univariate marginal distribution algorithm
• Synthesis of Microgels with Minimal Final Concentration of Initiator
• Novel Dual Reactive Distillation Process for Eco-efficient Lactic Acid Recovery and Purification from Fermentation Broth
• Exergy Analysis of Vacuum Distillation Unit
• Computer-Aided Solvent Design Integrated with a Machine Learning-based Atom Contribution Method
• A versatile modelling system for integrated chemical product design problems
• An integrated system of multi effect distillation and wind power system - Evaluation of total energy saving
• Modelling and Performance evaluation of the air heated and water heated Humidification-Dehumidification desalination process using solar thermal energy
• Enhancement of energy saving of reverse osmosis system of Arab Potash Company via a wind energy system
• Multi-objective optimization for the incorporation of safety and reliability considerations in process design
• Integrating Reliability and Uncertainty in Process Synthesis
• Optimization of Graded Bed Reactors for Syngas to Olefin (STO) Processes
• Gas Lift Optimization for Optimum Oil Production from a Well Platform
• Techno-economic evaluation of sorption enhanced steam gasification of PKS system for syngas using CaO for CO2 capture
• A Robust Optimization Approach for Hydrogen Allocation Network with Parametric Uncertainties
• Process Design and Techno-economic analysis of Hydrogen Production using Green Ammonia Imported from Australia- A Korea Case Study
• Life Cycle Assessment of Hydrogen Production from Imported Green Ammonia: A Korea Case Study
• Optimal Design of Distillation Columns Using a Combined Optimisation Approach
• Process and product design for the simultaneous synthesis of xylitol and sorbitol from biomass
• An approach for simultaneous computer-aided solvent design and process design for CO2 chemical absorption processes
• Simulation-based Derivative-free Optimization for Hybrid Separation Design
• Material Screening for Thermochemical Energy Storage in Solar Power Systems
• Network design optimization of waste management systems: the case of plastics
• Rational Design of Ionic Liquid Phase-Change Material for Efficient Thermal Energy Storage
• Tailor-made solvents by integrated design of molecules and CO2 absorption processes
• Small-scale GTL Applications with Heat Integration in Reforming and Fischer-Tropsch Stages
• Automated Process Synthesis Using Reinforcement Learning
• Operational Analysis of a Proton-Conducting Solid Oxide Electrolysis Cell for Synthetic Fuel Production
• Octane Optimization with a Combined Machine Learning and Optimization Approach
• A Platform of Machine Learning-Based Next-Generation Property Estimation Methods for CAMD
• Machine Learning Analysis of the Feed Water Parameters Affecting Reverse Osmosis Membrane Operation
• Novel technologies lor low-quality natural gas purification
• The Influence of Cuttings Polydispersity on Wellbore Cleaning Operations using the Kinetic Theory of Granular Flow and the Dense Discrete Phase Model
• A Digital Twin for Process Optimisation in Pharmaceutical Manufacturing
• Development of Hybrid RTO approaches in the absence of a rigorous dynamic model by the use of Hammerstein model structures
• Study of alternative configurations for methanol purification
• Power-to-OME1 via Direct Oxidation of Methanol: Process Design and Global Flowsheet Optimization
• A Machine Learning Approach for Device Design from Materials and Operation Data
• A Computer-Aided Platform for Simultaneous Process Synthesis and Intensification
• Studying the effect of solvent properties in treatment design within CO2 Integration Networks
• A Multi-generation system in Sabkha-Tah operating with nanofluids and a novel RO unit.
• A POD-ROM Methodology for Optimal Structuring of a Non-isothermal Fixed-bed Reactor for Process Integration
• Effect of Pseudo-Homogeneous Concentration Based Kinetics on Hybrid Reactive Distillation Columns for Selectivity Engineering
• An MILP model of post-combustion carbon capture based on detailed process simulation
• Numerical Study of fertilizer granules dynamics within rotary drum granulator
• Application of PharmaPy in the digital design of the manufacturing process of an active pharmaceutical ingredient
• Computer-Aided Screening of Deep Eutectic Solvent Systems for the Associative Extraction of α-Tocopherol from Deodorizer Distillate
• Investigating critical design criteria for photo-electrochemical reactors
• Advanced exergoeconomic analysis of a double effect evaporation process in an instant coffee plant
• Energy-efficient membrane cascades for industrial separations
• Techno-economic evaluation of Carbfix technology for carbon storage in the US
• Computational Exploration of Adsorption Enhanced Haber-Bosch using MOFs and Ionic Liquid/MOFs
• Optimization of a Continuous Fluidized Bed Process for the Separation of Enantiomers by Preferential Crystallization
• Methanol and power production from waste tyres: a process synthesis approach
• Analysing the robustness of multi-stage bioseparations to measurement errors
• Improvements in Methyl Ethyl Ketone Production Through Intensified Processes
• DATA ANALYTICS, MODELING, OPTIMİZATION AND SIMULATION
• Flexibility Assessment of Spirits Distillation Processes: Focus on the Armagnac Distillation
• OUTDOOR – An open-source superstructure construction and optimization tool
• Probabilistic Modeling for Optimization of Bioreactors using Reinforcement Learning with Active Inference
• SPH Simulation of the Rising of a Kerosene Bubble in a Water Column: Effect of the Injection Condition
• Novel method for properties prediction of pure organic compounds using machine learning
• Self-learning surrogate models in superstructure optimization
• Data-driven Modeling of an Industrial Ethylene Oxide Plant: Superstructure-based Optimal Design for Artificial Neural Networks
• Novel Tool for Selecting Surrogate Modeling Techniques for Surface Approximation
• ProREFD: Tool for Automated Computer-Aided Refrigerant Design, Analysis, and Verification
• Event driven analysis to enhance model calibration of experiments with high offline sampling rates
• Process System Engineering Tool Integration in the Context of Industry 4.0
• Benchmarking of Surrogate Models for the Conceptual Process Design of Biorefineries
• Predicting the Estrogen Receptor Activity of Environmental Chemicals by Single-Cell Image Analysis and Data-driven Modeling
• Data-driven prognostics for Lithium-ion battery health monitoring
• The Adaptive Radial Basis Method (ARBM): An application to the hydrodynamics of liquid-liquid dispersions
• Process modeling and multi-criteria optimization of an industrial phosphoric acid wet-process
• Towards Automated HAZOPs
• Multi-objective optimization of co-processing of algae hydrothermal liquefaction oil and vacuum gas oil: a survey of algal oil co-processing ratio and gasoline selling price
• Modeling of a software for sizing a wastewater treatment plant
• Joint Chance Constraint Approach based on Data-Driven Models for Optimization Under Uncertainty applied to the Williams-Otto Process
• CFD Simulations of High Efficiency Gas Cyclones: An Influence of Dustbin Geometry
• InvQMOM: A Simple Inversion Method that Works
• A Dual-Layer Attention-Based LSTM Network for Fed-batch Fermentation Process Modelling
• Resilience and Survivability-aware Optimal Design and Operation of Interconnected Supply Chains
• A Hybrid Modeling Approach for Liquid Entrainment Fraction Predictions
• Rethinhing Balance Models Applied to PFRS and Extracting New Insights
• Digital Twin Model Development for Chemical Plants Using Multiple Time-Steps Prediction Data-Driven Model and Rolling Training
• Parameter estimation and sensitivity analysis for a diesel hydro-processing model
• Model Development of Amine Regeneration Process with Electrodialysis Reclamation Unit
• CO2 methanation: Reactor modelling and parametric analysis
• An uncertainty-aware hybrid modelling approach using probabilistic machine learning
• Modelling and Dynamic Optimization of beer fermentation towards optimal flavor and operation
• On the fitting of bathtub-shaped failure models to lifetime data for selective maintenance optimization
• Sampling Space Reduction for Data-driven Modelling of Batch Distillation - Introducing Expert Process Knowledge through Operation Recipes
• On the acceleration of global optimization algorithms using a cutting plane decomposition and machine learning
• Towards a Digital Twin: A validated Digital Model of a Pilot Scale Bioreactor producing Green Fluorescent Protein (GFP)
• Automated Box-Jenkins Methodology to Forecast the Prices of Crude Oil and Its Derivatives
• Systematic Modelling of Transport Processes across Interfaces
• An identification approach to a reaction network for an ABE catalytic upgrade
• MOSKopt: A simulation-based data-driven digital twin optimizer with embedded uncertainty quantification
• Global Optimization of Mixed-Integer Polynomial Programs via Quadratic Reformulation
• A data-based approach for the development of asynchronous and distributed optimization algorithms in complex engineering applications
• Title Page
• Copyright
• How tools and technologies help drive sustainability
• A homotopy continuation-based branch and bound algorithm for process synthesis and design using rigorous unit operation models
• ROmodel: A Python Robust Optimization Modeling Toolbox
• Modelling – Mechanistic reductionism extended with holistic empirical components
• Thermodynamic Optimization of a Biomass-based Integrated Gasification Combined Cycle with Post Combustion Carbon Capture using Potassium Carbonate
• The state of play towards modeling of air quality in the city of Rabat
• Machine learning applications and process intelligence for cement industries
• Process Modelling and Simulation of Volatile Organic Compound (VOC) Recovery from Pharmaceutical Gas Emission Streams
• Multi-zonal compartmentalization methodology for surrogate modelling in continuous pharmaceutical manufacturing
• ProMo variable/equation Ontology-based systemmodelling
• Multi-scenario Design Optimization using ADMM of a Thermal Energy Storage System
• Performance comparison of different optimization methods for the wastewater treatment plant model based on the Activated Sludge Model No. 3 and design of the plant control
• Comparison of Group-Contribution and Machine Learning-based Property Prediction Models with Uncertainty Quantification
• Intelligent Management Platform for Material Exchange Optimization and Industrial Symbiosis
• Towards a Software Prototype for Synthesis of Operable Process Intensification Systems
• Data-driven modelling of choke valve erosion using data simulated from a first principles model
• A Metamodelling Approach for Air Pollution Source Estimation
• Uncertainty analysis in life-cycle assessment of early-stage processes and products: a case study in dialkyl-imidazolium ionic liquids
• Interval-Valued Data Learning for Robustness of Energy Recovery Systems
• Rules for Predicting Benefits in Simultaneous versus Sequential Heat Integration
• Processing systems design considering resilience
• Applying quality assurance concepts from software development to simulation model assessment in smart equipment
• Studying the Synergy between Dimension Reduction and Clustering Methods to Facilitate Fault Classification
• Computational Fluid Dynamics Modelling of Phenol Oxidation in a Trickle-Bed Reactor using 3D Eulerian Model
• Enhanced deterministic approach for heat exchanger network synthesis
• Modelling Biogas and H2S in Anaerobic Digestion
• Implementation of first-principles surface interactions in a hybrid machine learning assisted modelling of flocculation
• Optimal physical property data for process simulations by optimal experimental design
• On the practical identifiability of kinetic models of hydroxymethylfurfural hydrogenation in batch reaction systems
• Continuous-Effort Approach to Model-Based Experimental Designs
• Application of Machine Learning and Global Sensitivity Analysis for Identification and Visualization of Design Space
• A Hybrid Model Coupling Advanced Oxidation Processes (AOP) and Conventional Bio-processes for the Removal of Recalcitrant Contaminants in Wastewaters
• Analysis of the dissolution mechanism in the phosphoric acid manufacturing process: modelling and simulation
• Focusing experiments in the early phase process design by process optimization and global sensitivity analysis
• Design Space Approximation with Gaussian Processes
• Employing Adaptive Just-In-Time-Learning in a Transfer Learning Frame for Soft-Sensor Design
• AC-Optimal Power Flow Solutions with Security Constraints from Deep Neural Network Models
• The impact of CO2 pricing in SC Resilience – An optimisation model
• Machine learning-based approach to identify the optimal design and operation condition of organic solvent nanofiltration (OSN)
• Development of System Dynamic Model for Sustainability driven Technology Adoption in Indian Transport Sector
• Multi-Period Design Optimization of Flexible Fixed-Bed Reactors by Stoichiometry-Based Model Reduction
• Optimization based sampling for gray-box modeling using a modified upper confidence bound acquisition function
• How to design cooperative sustainable industrial systems?
• Population Balance Modelling of Pan Granulation Processes
• Estimation of cutpoint temperature under uncertain feed composition and process conditions using artificial intelligence methods
• Application of Constrained EKF based State Estimation to a Coiled Flow Inverter Copolymerization Reactor
• Towards Automated Information Retrieval of Process Data and Knowledge from Academic Databases
• Prediction of Bioconcentration Factors (BCF) using Graph Neural Networks
• Data and environment based approach for process systems engineering
• A Data-based Predictive Model for Distillation Column of Bio-based 2,3-Butanediol
• Data-driven Process Design Exemplified on the Steam Methane Reforming Process
• Input transformation for linearization, decoupling and disturbance rejection with application to steam networks
• SEARCH: A Symptom-based Expert for Advanced Response to Chemical Hazards
• A Cloud Computing Application for the Supercritical Carbon Dioxide Extraction Using Coffee Grounds Silverskin
• Multi-objective optimization of the shape of a fixed-bed reactor
• Artificial Intelligence Based Prediction of Exergetic Efficiency of a Blast Furnace
• AI System for Supporting Generation of Optimal Synthetic Pathways Based on Chemical Reaction Big Data
• Application of data science to study fluorine losses in the phosphate industry
• Data-driven Branch-and-bound Algorithms for Constrained Simulation-based Optimization
• Reactor scale modelling of gas hydrate-based CO2 capture (HBCC) process
• SMITH: differential homotopy and automatic differentiation for computing thermodynamic diagrams of complex mixtures.
• Dynamic modeling of a three-phase gas-solid-liquid fluidized bed absorber for CO2 capture
• Steady and Dynamic State Simulation-based Study of the Coupling of Electrolysis and Methanation Processes within Power to Methane (PtM) Context
• Upgraded Meta-Learning based Surrogate Selection Paradigm (LEAPS2v2)
• Flexibility analysis of chemical processes considering dependencies between uncertain parameters
• Computational Characterization of a Pore Network Model by Using a Fast Nitrogen Porosimetry Simulation
• Acyclic modular flowsheet optimization using multiple trust regions and Gaussian process regression
• Systematic generation and targeting of chemical recycling pathways: A mixed plastic waste upcycling case study
• Calibration of an EPANET model by using monitoring points in the bulk distribution of Sedibeng Water, for predicting disinfectant decay
• Compartmental Modelling of Shell Side Fouling in a Shell and Tube Heat Exchanger
• Optimization-based digital design of a commercial pharmaceutical crystallization process for size and shape control
• PROCESS OPERATIONS AND CONTROL
• Condition Number As A Quantitative Measure Of Flexibility In A Process
• Nonlinear Model Predictive Control of Food Sterilization Processes
• Design and control of triple-column pressure swing distillation process for acetone-methanol-hexane separation
• Design and control of a Biobutanol Purification Process through IBE Fermentation: Basic Design Configuration
• Fault Diagnosis of Electrical Power Systems with Hybrid Quantum-Classical Deep Learning
• Data-Driven Robust MPC for Controlled Environment Agriculture
• Initialization strategy for the dynamic optimization of a batch distillation column with a rate-based model
• Adversarial Autoencoder Based Nonlinear Process Monitoring
• Machine learning for constrained self-optimizing control
• Driving Force Based Design and Control Performance Analysis of Reactive Distillation Columns
• Generating an optimal control policy via apprenticeship and reinforcement learning
• Systematic model-based dynamic optimization of a combined cooling and antisolvent multistage continuous crystallization process
• Predicting Microclimate of a Closed Greenhouse Using Support Vector Machine Regression
• Adjustable Robust Optimal Control for Nonlinear Chemical Process under Uncertainty
• Adaptive Optimal Control of Baker’s Yeast Fermentation Process with Extreme Learning Machine and Recursive Least Square Technique
• Data-based Industrial Soft-sensor Design via Optimal Subset Selection
• Economic MPC with Modifier Adaptation using Transient Measurements
• Attack Detection Using Unsupervised Learning Algorithms in Cyber-Physical Systems
• Application of Self-Optimizing Control in a Real Heat Exchanger Network
• Data-Driven Control Strategies for the Autonomous Operation of the Pharmaceutical Crystallization Process
• Dynamic optimization of a stand-alone alkaline water electrolyzer for future operation using a predicted solar forecast
• A Mixed Integer Dynamic Optimization Approach for a Hybrid-Stand Alone Solar and Wind Powered Alkaline Water Electrolyser for Renewable Hydrogen
• A framework for adaptive online model-based redesign of experiments in dynamic systems
• Investigation of the use of transient process data for steady-state Real-Time Optimization in presence of complex dynamics
• Evaluating Control Room Operator Training Outcomes Through Eye Gaze Augmented Multi-Scale Data
• Multi-layer Multivariate Statistical Analysis for Process Monitoring
• Digitalization, Control and Optimization for Cement Plants
• Process Monitoring with Advanced Analytics for Improved Plant Efficiency in the Pharmaceutical Industry
• A Study of Spectral Envelope Method for Multi-Cause Diagnosis using Industrial Data
• Dynamic Model Based Detection of Cyberattacks in Industrial Facilities
• Evaluation of control strategies in CO2 capture unit
• Modelling and Temperature Uncertainty Analysis of a Fermentation Bioreactor at an Industrial Brewery
• Symbolic transfer entropy for root cause analysis of process disturbances
• Quality-by-Control of continuous drug substance isolation: study on a novel unit for integrated filtration-drying
• Control of Batch and Continuous Crystallization Processes using Reinforcement Learning
• Title Page
• Copyright
• Process Monitoring under Uncertainty: An Opportunity for Bayesian Multilevel Modelling
• Modelling and Health Monitoring of a Pressure Regulating System
• Unsupervised Monitoring of Flocculation Processes based on Recurrence Theory
• ENERGY/WATER/FOOD NEXUS AND SUSTAINABILITY
• Optimal Supply Chain for Renewable Furfural Production Involving Economic, Environmental and Social Criteria
• Levels of Approximation for the Optimal Design of Distributed Energy Systems
• A Coordinated Framework for the Optimization of Municipal Solid Waste Management
• A Probabilistic Scenario Generation Framework for Optimal Decision Making in Turkish Renewable Energy Market
• Dynamic optimization modelling for a national-scale energy sysem in transition
• Carbon Policy Assessment in Process Integration
• Back-End Design and Development of an Energy Systems Analysis Tool
• Compression system power requirements for various CO2 sources and transportation options
• Life Cycle Optimization of Hybrid Energy Systems towards Carbon Neutrality
• Value of aggregator-led community energy storage systems with degradation constraints
• Clean Electricity Generation from Sewage: a novel Ultra-Supercritical Water Oxidation Technology with integrated CCS
• Design of Food-Energy-Water-Waste Nexus Systems in New York State under COVID-19 Pandemic
• Assessment strategies of different molten salts for heat transfer in tri-generation systems
• Techno-economic Assessment of Load Following Operation for Super-critical Power Plants Equipped with Carbon Capture Feature
• Utilisation of CO2 in transnational LNG supply chain for the enhancement of jet fuel production in globally decentralised GTL industries
• River Water Quality Prediction in Malaysia Based on Extra Tree Regression Model Coupled with Linear Discriminant Analysis (LDA)
• Synthesis and Design of Sustainable Integrated Process, Water Treatment, Energy Supply Networks and Carbon Utilization Networks Under Uncertainty
• Optimising the Sustainability Performance of an Industrial Park: an Energy-Water-Food Nexus
• A Study to Target Energy Consumption in Wastewater Treatment Plant using Machine Learning Algorithms
• Development of sustainable integrated biorefinery networks in pulp and paper industries
• Optimization of biogas autothermal reforming integrated with PEM based on renewable energy
• Integration of CO2 capture to power plants: the effect of fuel and gas composition in process configuration
• Optimal Integration of Renewables, Flexible Carbon Capture, and Energy Storage for Reducing CO2 emissions from Fossil Power Plants
• Circular Economy Systems Engineering: A case study on the Coffee Supply Chain
• Towards a Circular Economy Calculator for Measuring the “Circularity” of Companies
• Economic Optimization of Qatar’s Hydrocarbon-based Fuels for Sustainable Maritime Applications
• Unmanned aerial vehicles in precision agriculture towards circular economy: a process system engineering (PSE) assessment
• Utilisation of Carbon Dioxide and Gasified Biomass for the Generation of Value Added Products
• Synthesis of the EU Supply Networks for the Gradual Transition to 100 % Renewable Energy Production
• Simultaneous optimization and heat integration of a macroalgae-based biorefinery
• Integrated optimization of Multi-Energy System operation and thermal comfort management for buildings
• Towards a Rational, Quantum-Chemistry-Based Selection and Screening of Green Solvents for Liquid-Liquid Phase Transfer Catalysis
• A Model-Centric Multivariate Analysis for Reducing H2S Emissions in Wastewater Treatment Plants
• Gas-to-liquid strategy for liquid fuel production from industrial residue gases: Process development and technoeconomic analysis
• Multi-Objective Optimization of Lignocellulosic Ethanol Production Based on Regional Land and Water Availability
• Deep Learning and AutoML for Dynamic Modeling of LNG Regasification Process Using Seawater
• Carbon or Nitrogen-based e-fuels? A comparative techno-economic and full environmental assessment
• Techno-economic assessment of a renewable energy-based electric vehicle fast-charging station in Qatar
• Simultaneous Synthesis and Optimization of Refrigeration Cycles and Heat Exchangers Networks
• Waste- to-DME: Process Synthesis and Sustainability Evaluation
• Long-distance hydrogen delivery using a toluene-based liquid organic hydrogen carrier system
• Assessment of energy efficiency improvement in ceramic industry through waste heat recovery modelling
• Targeting and Optimisation of Industrial and Urban Symbiosis for Circular Economy
• Negative CO2 emissions in biomass gasification process with hybrid amine-deep eutectic solvents
• Development and optimization of an energy efficient and self-sustained integrated process for nitrogen removal for baseload LNG plant
• Integration of Green Power in a Gas to Liquid Process
• Comparative Study of Different Hybrid Life Cycle Assessment Methodologies Applied to Biomass-based Chemical Production
• Optimising the energy, water and food nexus node to support decision making for sustainable food security in Risky Environments
• Synthesis of Sunlight, Seawater and CO2 based Industrial Parks
• OPERATIONS AND SUPPLY CHAINS
• Planning production of solar grade silicon to yield solar panels involving behaviour of population
• Bi-level Mixed-Integer Data-Driven Optimization of Integrated Planning and Scheduling Problems
• A Prospective Approach in the Design of Lignin-Based Products Supply Chains
• Flexibility Analysis in Supply Chain Management: Application to the Traveling Salesman Problem
• Production scheduling of continuous make-and-pack processes with byproducts recycling
• Robust Optimization for Scheduling and Lot-sizing of a Single Machine with Sequence-dependent Changeovers
• Simultaneous minimization of minimum resource and storage requirements in batch process
• A Hybrid Solution Approach for Large-scale Batch Scheduling with Quantum Computing
• A Digital Twin Framework for Business Transactional Processes in Supply Chains
• A Data-Driven Approach to Plan Electricity Production from Diesel Engines with Constrained Parameters
• An Efficient Computational Strategy for Process Scheduling: a Case Study of the Omsk Lubricant Plant
• Centralised vs. decentralised production and storage: optimal design of a decarbonised hydrogen supply chain with multiple end uses
• Optimal Design of the Reverse Logistics Network of Empty Agrochemical Containers
• Designing a Rectification Strategy for Managing Disruptions in LNG Supply Chain
• Statistical Decision-Theoretic Risk Management for Planning Renewable Energy Pathways
• Supply Chain Planning with Vehicle Allocation for Gas Industry
• Optimal Day-Ahead Load Curtailment for Central Chiller Plants
• Interplaying of food supply chain resilience, industry 4.0 and sustainability in the poultry market
• Integrated Spatially Explicit Landscape and Biofuel Supply Chain Network Design
• Techno-economic and environmental assessment of Gasoline produced from GTL and MTG processes
• Simplified targeting models for Sustainable Supply Chains retrofitting in process industries
• Flexibility-expansion planning for enhanced balancing-power market participation of decentralized energy systems
• A fair profit allocation model for the distribution plan optimisation of refined products supply chains
• Markov Decision Process to Optimise Long-term Asset Maintenance and Technologies Investment in Chemical Industry
• Cost, environmental and exergy optimization of hydrogen and methane supply chains: application to Occitania region, France
• Planning of non-conventional gas field development with parametric uncertainties
• BIOLOGICAL SYSTEMS AND PROCESSES
• Effect of the lignin extraction process on the economics of a woody-based biorefinery
• Economic and environmental assessment of bio-hydrogenated diesel production process from waste cooking oil integrated with reforming process
• Modelling and simulation of a multiple feedstock integrated biorefinery for the production of aviation biofuel and other biofuels
• Coordinated Management of Agricultural Waste and High-tech Value Bioproducts
• A design and optimization framework for (bio-) chemical process based on exergo-economic and environmental aspects
• Integrating Process Simulation and Life Cycle Assessment to Evaluate the Economic and Environmental Performance of Algae Biodiesel
• Optimization of biogas production from cattle manure by anaerobic digestion using a gradient-based algorithm
• Photosynthetic Bioplastics Production with Cyanobacteria by Coupled Growth-Production Mutants
• Parametric analysis of mammalian cell (GS-NS0) culture performance for advanced mAb biopharmaceutical manufacturing
• A technoeconomic assessment of an on-site biocrude production from sewage sludge in Qatar’s wastewater treatment plants
• Production costs of advanced biofuels using a multi-component learning curve model
• Simulation of the Biofuel Production Process from Organic Fraction of Municipal Solid Waste (OFMSW)
• Comparison of different processing routes for the valorisation of olive tree pruning wastes
• The Use of GVL for Holistic Utilization of Biomass
• Valorization of sugarcane bagasse to lactic acid: Life cycle assessment and Techno-economic evaluation in Indian scenario
• Hybrid Cybernetic Modeling of the Microbial Production of Polyhydroxyalkanoates Using Two Carbon Sources
• Microbial Production of Polyhydroxyalkanoates – Modeling of Chain Length Distribution
• Identifiability of metabolic flux ratios on carbon labeling experiments
• Metabolic Network Reconstruction from Time-Series of Concentration Data: Evaluation of the Numerical Matrices Methods
• Assessment of intermediate storage and distribution nodes in personalised medicine
• Thermal treatment in dairy processes: Validation of protein deposition models
• Optimal efficiency of biomass conversion from bio-based byproducts to biofuel production in the Ethiopian sugar industry: A case study in Wonji-Shoa sugar factory, Ethiopia
• Data-driven prediction of antiviral peptides based on periodicities of amino acid properties
• Allosteric Regulation of CRYs in Mammalian Circadian Clock
• EDUCATION AND TRAINING
• Reflections on the development of scenario and problem-based chemical engineering projects
• Programming skills across the (bio)engineering curriculum – a students’ perspective
• Engineering Social Responsibility: Rising to the Challenge of Sustainable Development
• Virtualization of Pressure Control Demonstration Unit – A Step Towards Virtual Laboratory
• Complementarities of part-time and full-time postgraduates in process systems engineering (PSE): when industry and academia merges
• Building Knowledge Capacity for Quantum Computing in Engineering Education
• Teaching PSE Mastery During, and After, the COVID-19 Pandemic
• Real-Time Chemical Process Monitoring with UMAP
• Efficient Energy Integration and Design of Distillation Separation Sequences
• Enhancing operability during early stage of process synthesis considering flexibility and inherent safety simultaneously