22nd European Symposium on Computer Aided Process Engineering

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• Publisher: Elsevier
• Year: 2012
• Print ISBN:
  9780444594310
• eBook ISBN:
  9780444594563
• Topic: Technology & Engineering
• Subtopic: Industrial & Technical Chemistry
• Index: Technology & Engineering

Computer aided process engineering (CAPE) plays a key design and operations role in the process industries. This conference features presentations by CAPE specialists and addresses strategic planning, supply chain issues and the increasingly important area of sustainability audits. Experts collectively highlight the need for CAPE practitioners to embrace the three components of sustainable development: environmental, social and economic progress and the role of systematic and sophisticated CAPE tools in delivering these goals. - Contributions from the international community of researchers and engineers using computing-based methods in process engineering - Review of the latest developments in process systems engineering - Emphasis on a systems approach in tackling industrial and societal grand challenges

22nd European Symposium on Computer Aided Process Engineering, Vol. 30, Suppl (C), July 2012

ISSN: 1570-7946

doi: 10.1016/B978-0-444-59519-5.50136-2

Genetic Algorithms in the Design of Configurations for Distillation of Quaternary Mixtures using Less than N-1 columns with Thermally Coupling

J. Cortez-Gonzalez^a, J.G. Segovia-Hernández^a, S. Hernández^a, C. Gutiérrez-Antonio^b, A. Briones-Ramírez^c, B.G. Rong^d

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^a Universidad de Guanajuato, Campus Guanajuato, Departamento de Ingeniería Química, Noria Alta s/n, 36050, Guanajuato, Guanajuato, México.

^b CIATEQ, A.C., Av. del Retablo 150, Col. Fovissste, 76150, Querétaro, Querétaro, México.

^c Exxerpro Solutions, Av. del Sol 1B Local 4B Plaza Comercial El Sol, Col. El Sol, 76113, Querétaro, Querétaro, México

^d University of Southern Denmark, Inst. of Chemical Eng., Biotechnology and Environmental Tech. Niels Bohrs Allé 1, DK-5230 Odense M, Denmark.

Abstract

The optimal design of complex distillation systems is a highly non-linear and multivariable problem, with several local optimums and subject to different constraints. In addition, some attri1utes for the design of these separation schemes are often conflicting objectives, and the design problem should be represented from a multi objective perspective. As a result, solving with traditional optimization methods is not reliable because they generally converge to local optimums, and often fail to capture the full Pareto optimal front. In this paper, a method for the multiobjective optimization of distillation systems, conventional and thermally coupled, with less than N-1 columns is presented. In this work is used a multiobjective genetic algorithm with restrictions coupled to AspenONE Aspen Plus; so, the complete MESH equations and rigorous phase equilibrium calculations are considered. Results show some tendencies in the design of intensified sequences, according to the nature of the mixture and feed compositions.

Keywords

multicomponent distillation, multiobjective optimization, genetic algorithms, Pareto front

1 Introduction

Distillation is a widely used separation process, and, also, a very large consumer of energy. A large amount of research work has been done to improve the energy efficiency of distillation systems, in terms of either the design of optimal distillation schemes or improving internal column efficiency. Nowadays, the optimal design of multicomponent distillation systems remains one of the most challenging problems in process engineering (Kim and Wankat, 2004). The economic importance of distillation separations has been a driving force for the research in synthesis procedures for more than 30 years. For the separation of an N-component mixture into N pure products, as the number of components increases the number of possible simple column configurations sharply grows up. Thereby, the selection of the best configuration for certain mixture is still a very large and time consuming problem. This one main reason that conducts researchers’ work in searching general rules, heuristics, able to make a preliminary screening to select a lower number of alternatives to analyze. The selected configurations can be subsequently analyzed with a rigorous method to find the best sequence in terms of energy.

In this work, we implemented a multi objective genetic algorithm with constraints to obtain the Pareto front of complex distillation sequences. We take an alternative space of 31 arrangements that use less than N-1 columns, for quaternary distillations of those reported by Errico et al (2009). The optimal designs of these arrangements are obtained using a multi objective genetic algorithm with restrictions (Gutiérrez-Antonio and Briones-Ramírez, 2009), which is coupled to the AspenONE Aspen Plus for the rigorous evaluation of the objective and constraint functions. To the best of our knowledge, multiobjective stochastic methods have not been reported for optimal design of a complete subspace of alternatives with less than N-1 columns for quaternary distillations. Numerical performance of this strategy has been tested in the design of columns with several mixtures, in order to examine the effect of the relative volatilities of feed mixtures. Results allow presenting trends for selecting the best configuration among those studied according to the nature of the mixture and feed composition.

2 Problem statement

As was mentioned before, we selected as study space a subset of 31 configurations that use less than N-1 columns (see Figure 1), for quaternary distillation, proposed by Errico et al. (2009). These configurations were divided in three principal groups: distillation sequences with less than N-1 columns without thermal coupling, distillation sequences with less than N-1 columns with thermal coupling and single distillation columns with two side streams. Also, each group is divided in nine subgroups (SG). The group 1 is divided in subgroups depending on the product stream that is fed to the second column. In the group 2 there are 5 subgroups according to the location of the interconnection streams and the type of second column. Finally, the group 3 contains the unique distillation column with two side streams, subgroup SG9. Figure 1shows the 9 subgroups of the intensified distillation sequences. To compare the performance of the sequences with less than N-1 columns, four quaternary mixtures with different volatility values and feed compositions were considered. The required purities were 98.7%, 98%, 98% and 98.6% for components A, B, C and D, respectively. For all mixtures, the feed flowrate is 45.36 kmol/h and the feed is introduced in the column as saturated liquid. The design pressure for each separation was chosen to ensure the use of cooling water in the condensers; and they were 4.82, 4.77, 6.59 and 2.34 atm, for mixtures M1 (isobutene, n-butane, n-pentane, iso-hexane), M2 (n-butane, n-pentane, n-hexane, n- octane), M3 (n-butane, n-pentane, n-hexane, n-heptane) and M4 (isobutanol, 1- pentanol, 1-hexanol, isoheptanol), respectively. It is well known that the composition in the feed stream affects the design parameters and energy consumption; for that reason, different feed compositions and volatilities values were considered. Phase equilibrium for liquid of these mixtures is calculated with the UNIQUAC model for mixture M4, and the Chao-Seader model for mixtures M1, M2 and M3 (Aspen Plus Manual, 2007; Errico et al., 2009b). As was mentioned before, the simulations of all sequences are performed in Aspen Plus in order to get the values of objectives and constraints; thereby, the phase equilibrium calculations are performed in Aspen Plus. The phase vapor is modeling with Rendlich Kwong Soave equation of state.

Figure 1 Classification the Intensified Sequences N-1 columns.

3 Optimization strategy

In this work, we implemented a multiobjective genetic algorithm with constraints to obtain the Pareto front of complex distillation sequences. The optimal designs of these arrangements are obtained using a multiobjective genetic algorithm with restrictions (Gutiérrez-Antonio and Briones-Ramírez, 2009), which is coupled to the AspenONE Aspen Plus for the rigorous evaluation of the objective and constraint functions. Numerical performance of this strategy has been tested in the design of columns with several mixtures, in order to examine the effect of the relative volatilities of feed mixtures. Results allow presenting trends for selecting the best configuration among those studied according to the nature of the mixture and feed composition.

For the complex distillation sequences we used 2500 individuals and 40 generations as parameters of the genetic algorithm, with 0.80 and 0.05 of crossover and mutation fraction. These parameters were obtained through a tuning process, where several runs of the algorithm were p...

Table of contents

• Cover image
• Table of Contents
• Copyright
• Preface
• Organising and scientific committees
• Objective reduction in multi-criteria optimization of integrated bioethanol-sugar supply chains
• A water saving methodology for the efficient development of biorefineries
• Economic Value and Environmental Impact analysis tool for sustainable biorefinery design
• BIOpt
• A Simulated Annealing Algorithm for the Design and Planning of Supply Chains with Economic and Environmental Objectives
• Sustainable Development of the Hydrological Basin of Lake Koronia using Mathematical Programming and Statistical Analysis
• Integration of Single-Plant Water Networks into an Eco-Industrial Park
• Optimal water network synthesis with membrane separation-based regenerators
• Environomic optimal design and synthesis of energy conversion systems in urban areas
• Towards defining a quantitative methodology to enhance the sustainability performance of major international events.
• Design of an IRCC with CO2 capture utilizing a mixed integer optimization method
• Integrated assessment of carbon capture and storage technologies in coal-based power generation using CAPE tools
• Sustainable design of a reactive distillation system
• Multi-level Design and Selection of Optimum Working Fluids and ORC Systems for Power and Heat Cogeneration from Low Enthalpy Renewable Sources
• Choosing the suitable Carbon dioxide Storage Location in Sedimentary Basins of Korea
• Computer Aided Estimation of Fugitive Emission Rates and Occupational Air Concentration in Process Design
• Integrated tool for simulation and optimization of a first and second generation ethanol-from-sugarcane production plant
• Computer aided evaluation of eco-efficiency of solvent-based algae oil extraction processes for biodiesel production
• Reliable and Efficient Targeting for Optimal Design of SWRO Desalination Processes
• A two-step optimisation approach for integrated water resources management
• Life cycle assessment and optimization on the production of petrochemicals and energy from polymers for the Greater London Area
• Comparative Study of Simulations and Experimental Results of Biodiesel Production Using Two Types of Reactive Distillation Columns
• Integrating Economic and Environmental Aspects in the Design and Planning of Supply Chains
• Multi-objective Optimization of a Membrane Distillation System for Desalination of Sea Water
• Development of a Dynamic Material Flow Analysis Model for French Copper Cycle
• Incorporating CO2 emission trading in the optimal design and planning of chemical supply chain networks under uncertainty
• Comparative Techno-economic Analysis of Biodiesel Production from Microalgae via Transesterification Methods
• Optimization of hybrid anaerobic-aerobic SBR-based systems
• An integrated approach combining process simulation and life cycle assessment for eco-efficient process design
• Product and Mixture Design in Latent Variable Space by Chemometric Techniques
• A Bayesian Network Based Approach for Risk Modeling to Aid in Development of Sustainable Biomass Supply Chains
• Multidisciplinary Approach in Developing Region Specific Optimization Tool for Sustainable Biorefining
• Automated Environmental Evaluation for the Optimization of Chemical Processes
• Semantic Formalism for Waste and Processing Technology Classifications Using Ontology Models
• Evaluation of different cogeneration systems in first and second generation ethanol production from sugarcane
• Economic and environmental assessment of integrated 1st and 2nd generation sugarcane bioethanol production evaluating different 2nd generation process alternatives
• Integrated Modeling of Sugarcane Cultivation and Ethanol Fermentation from Agriculture and Engineering Perspectives
• Evaluation of CO2 capture process and operational challenges by dynamic simulation
• An Agent-based Model for Analyzing Diffusion of Biodiesel Production Schemes
• Integration of Process synthesis and Location- Transportation for the Design of Biomass Conversion Systems
• Indentifying redundant environmental objectives in the design of heat-exchanger networks using rigorous dimensionality reduction techniques.
• Comparison of technology alternative for palm oil biodiesel production using exergy analysis
• Biological Wastewater Treatment
• Utilization of Biomass Feedstocks: A Case Study Based on Rice and Sugar Mills in Thailand
• Computer aided estimation of sustainability of biodiesel production from palm oil.
• Techno-Economic Optimization of IGCC Integrated with Utility System for CO2 Emissions Reduction
• Integration of strategic and operational decision-making for continuous power-intensive processes
• Control Strategies For Flexible Operation Of Power Plant Integrated With Co2 Capture Plant
• Carbon Dioxide Liquefaction Process for Ship Transportation
• Combining coal, natural gas, and nuclear heat for liquid fuels production with reduced CO2 emissions
• Effective Coordination of Simultaneous Delivery Flows into Receipt Terminals of Multiproduct Pipelines
• Hydrogen production through steam electrolysis: a model-based study
• Multi-Objectives, Multi-Period Optimization of district heating networks Using Evolutionary Algorithms and Mixed Integer Linear Programming (MILP)
• Selection of heat pump technologies for energy efficient distillation
• A Prototype Simulation- based Optimization Approach to Model Feedstock Development for Chemical Process Industry
• Multi-objective optimization of coal-fired electricity production with CO2 capture
• Multi-objective optimization of absorption refrigeration systems involving renewable energy
• Design and Thermal Analysis of a Solid Oxide Fuel Cell System Integrated with Ethanol Steam Reforming
• Design of a hydrogen supply chain using multiobjective optimisation
• Numerical Optimization of Steam Cycles and Steam Generators Designs for a Coal to FT plant
• Proposition of methodology for optimization of energy system design under uncertainty
• Investigation of a proton-conducting SOFC with internal autothermal reforming of methane
• Optimisation based analysis of a dwelling with an air source heat pump
• Development an Optimization Model for Green Supply Chains: Integration of CO2 Disposal and Renewable Energy Supply
• Optimization of a Distributed Small Scale Biodiesel Production System in Greater London
• A Model Predictive Control Framework for Residential Microgrids
• Optimal Energy Management and Production Scheduling
• Case Study - Online Energy Management and Optimisation of Utility Generation Assets on Industrial Sites
• Improvements on hydrogen production efficiency based on switching multiple renewable power sources
• Optimal planning of energy management system under demand uncertainty
• Energy Management Strategies for Process Site CO2 Emissions Reduction
• Optimal Residential Solar Photovoltaic Capacity in Grid Connected Applications
• Thermodynamic Efficiency and Cost-Effective Optimization of Heterogeneous Batch Distillation
• An alternative real-time optimization algorithm with modifier adaptation
• PlanPerfect
• Production planning of batch and semi-continuous bioprocesses across multiple biopharmaceutical facilities
• Operational and strategic alignment in the decision process of molecule substitution
• Transportation Planning of Oil Products
• Network Structure and Logistics Efficiency
• Operational, Tactical and Strategical Integration for Enterprise Decision-Making
• Integration of Mathematical Programming and Game Theory for Supply Chain Planning Optimization in Multi-objective competitive scenarios
• Optimum Design and Planning of Resilient and Uncertain Closed-Loop Supply Chains
• A Two-Stage Stochastic Model for the Design and Planning of a Multi-Product Closed Loop Supply Chain
• Towards Integrated Production and Distribution Management
• Realizing Continuous Improvement in Pharmaceutical Technical Operations - Business Process Model in Roche’s Parenterals Production Kaiseraugst
• Integration in Process Industries via Unified Processing Core (UPC) in operational and logistic planning levels
• Design and Planning of Downstream Petroleum Supply Chains
• Application of semantic and lexical analysis to technology forecasting by trend analysis - thematic clusters in separation processes
• Quotation Tool for Process Equipment
• Designing and planning of closed-loop supply chains for risk and economical optimization
• Semantic Support for Industrial Symbiosis Process
• Supply Chain Planning under Uncertainty using Genetic Algorithms
• Multiproduct, multiechelon supply chain analysis under demand uncertainty and machine failure risk
• Synthesis and Design of Processing Networks: Stochastic Formulation and Solution
• Inventory Management for Multi-product Tank Farm Systems using a MILP Model with Rolling Horizon
• MILP-based Approach for the Scheduling of Automated Manufacturing System with Sequence-Dependent transferring times
• Carbon Management in the Chemical Process Arena – a multi-faceted CAPE problem
• Computer-Aided Design and Evaluation of Batch and Continuous Multi-Mode Biopharmaceutical Manufacturing Processes
• A Framework for the Evaluation of Investments in Clean Power-Technologies
• Incorporating Topographical Characteristics in Molecular Signature Descriptors
• Impact of Fouling on Flexible Design and Operation of MSF Desalination Process with Variable Freshwater Demand
• A Genetic Algorithm (GA) based rational approach for design of discrete microfluidic networks
• A general framework for latent variable model inversion to support product and process design
• Modular equipment design in optimization-based process synthesis
• Innovative biodiesel production in a reactive dividing-wall column
• Batch heteroazeotropic distillation with variable decanter hold-up
• Dynamic modelling of margarine manufacturing
• Developing Cost-Effective Processes for Converting Natural Gas into Single Cell Protein
• Multiobjective optimization of membrane processes for chemicals ultrapurification
• Economic and environmental evaluation of microalgae biodiesel production using process simulation tools
• Optimal Dynamic Controllability in Compressor-Aided Distillation Schemes Using Stochastic Algorithms
• A new graphical exergy targeting representation for processes operating above and below ambient temperature
• Process design optimization strategy to develop energy and cost correlations of CO2 capture processes
• Novel MILP-based optimization method for retrofitting heat exchanger networks
• Simultaneous process and working fluid optimisation for Organic Rankine Cycles (ORC) using PC-SAFT
• Model-based Optimization in Pharmaceutical Technical Operations – Yield Measurement and Increase in Roche’s Parenterals Production Kaiseraugst
• Hybrid Simulation-Optimization Logic Based Algorithms for the Rigorous Design of Chemical Process
• Application of Computer Aided Mixture Design in Paints and Coatings
• A Nonlinear Programming Approach to Conceptual Design of Reaction-Separation Systems
• Optimal design of chemical processes with chance constraints
• Predicting a Wide Variety of Constant Pure Compound Properties for Long Chain Substances Using a “Reference Series” Method
• Considering Physical Property Uncertainties in Process Design
• Modeling of open-system process for sustainable production
• High-boiling-point petroleum fractions upgrading using the centrifugal reactive-molecular distillation process over catalyst
• A Novel Method for Designing Flotation Circuits
• Water and Energy Use in Mineral Processing
• Evaluation of the batch distillation process in the ethanol production
• Removal and recovery of organic solvents from wastewater by distillation
• Integrated Operation and Design of a Simulated Moving Bed Reactor
• Modeling and Analysis of Intensified Processes for Economic Recovery of High-Grade Lactic Acid
• Economic Analysis of an Industrial Refining Unit Involving Hydrotreatment of Whole Crude Oil in Trickle Bed Reactor using gPROMS
• Design of glycerol etherification process by constructive nonlinear dynamics
• An Integrated Framework for Flowsheet Synthesis and Molecular Design
• Enhanced bioethanol dehydration in extractive dividing-wall columns
• Enhancing multi-component separation of aromatics with Kaibel columns and DWC
• Genetic Algorithms in the Design of Configurations for Distillation of Quaternary Mixtures using Less than N-1 columns with Thermally Coupling
• Multiobjective Optimization in Distillation with Reactor-Side for Hydrodesulfurization Process of Diesel
• Design and Optimization of Pressure Swing Distillation using a Stochastic Algorithm based in the Boltzmann Distribution
• A Neural Network Application in the Design of Emulsion-Based Products
• Cyclic distillation - towards energy efficient binary distillation
• An integrated framework for product formulation by computer aided mixture design
• Analysis of the Production of Methyl Esters by the Two-Step Supercritical Method using Reactive Distillation
• Environmental and economic optimization of distillation structures to produce anhydrous ethanol
• Ontology-driven description and engineering of Autonomous Systems
• Design of Experiments and Sensitivity Analysis for Microalgal Bioreactor Systems
• Process design of integrated reaction and membrane separation by organic solvent nanofiltration using evolutionary algorithms
• Reactive distillation processes used as unique operation or finishing stage
• New distillation sequences for bioethanol production by extractive distillation
• Optimal design and control of trains of dividing wall columns for the separation of petrochemical mixtures
• A sustainable design and simulation of waste sulfuric acid concentration process for semiconductor industry
• An Integrated Methodology for Design of Tailor-Made Blended Products
• A framework for the design of reacting systems with phase transfer catalysis
• The Solvent Selection framework
• Regular and non-regular production scheduling of multipurpose batch plants
• An Efficient Unit-Specific Event-Based Continuous-Time MILP Formulation for Short-Term Scheduling of Multistage and Multiproduct Batch Plants
• Dynamic behaviour and control of extended Petlyuk distillation arrangements
• Exploiting grid adaptation and structure detection in multi-objective dynamic optimization problems
• Dynamics of reactive distillation for the production of ethyl acetate
• Integrated Model for Refinery Production and Pipeline System Scheduling
• An advanced control solution for a fluid catalytic cracking unit
• Reliable Batch-to-Batch Iterative Learning Control of a Fed-batch Fermentation Process
• Dynamic Validation of Model for Post-Combustion Chemical Absorption CO2 Capture Plant
• PID Control of Reverse Osmosis Based Desalination Process
• Optimal Operation of RO System with Daily Variation of Freshwater Demand and Seawater Temperature
• A stop-and-restart approach to hybrid dynamic optimization problems
• Parameter accuracy vs. decorrelation in optimal experiment design
• Analyzing the effects of uncertainties on the economic performance of a chemical process plant using a probabilistic optimization technique
• Oil Well Drilling Inside Operational Window – Simulation and Experimental Control Studies
• Operational optimization of low-temperature energy systems
• Improving dryer controllability & energy efficiency
• A new data driven index for control performance monitoring
• A Signal Processing Approach for Fault Detection Problem
• Efficient Scheduling of Complex Multipurpose Chemical Batch Processes
• Online Feasibility and Effectiveness of a Spatio-temporal Nonlinear Model Predictive Control. The Case of Methanol Synthesis Reactor
• MINLP model for optimal biocide dosing and maintenance scheduling of seawater cooled plants
• Online real-time inference of ethanol composition in a mixed distillation column
• Dynamic simulation of natural gas liquefaction process
• Linking Scheduling to Control in an Oil Refinery
• A promising OPC-based computer system applied to fault diagnosis
• Quality Assessment Support System and its Use in Pharmaceutical Plant Operations
• Shared Resources Management by Price Coordination
• A Novel Method for Monitoring of Separation Performance in Distillation Columns
• Use Case Driven Development of a Risk Management Tool with Business Process Model for Chemical Plants
• Aggregate Model for Refinery Production Planning
• Control system performance monitoring based on optimal action selection
• Run-to-Run MPC Tuning via Gradient Descent
• Control of Forced Convection Drying in Food Slabs
• Avoiding Oversizing in Plant-Wide Control Designs for Industrial Processes
• A New Dual Modifier-Adaptation Approach for Real-Time Optimization with Inaccurate Models
• Specifying risk level for constraint violation in stochastic systems - a case study on papermaking
• Analysis of Dynamic Behavior of a Thermally Coupled Distillation Column Implemented on a Process with Recycles
• Ontology-based expert system for process supervision
• Control Performance Assessment for a class of Nonlinear Multivariable Systems
• Advanced Control for Anaerobic Digestion Processes
• A novelty detection approach for detecting faulty batches in a photo-Fenton process
• Modeling and simulation of Poly-lactic acid synthesis in batch process for biomedical applications
• Operational optimization of crude oil distillation systems using artificial neural networks
• Improvement of Crude Oil Refinery Gross Margin using a NLP Model of a Crude Distillation Unit System
• Ontology approach to model construction
• Multivariate control chart with a deployed matrix for autocorrelated data
• Estimation of catalyst deactivation parameters of ethyl tert-butyl ether (ETBE) reactors based on industrial plant data
• Reactor network analysis of Claus furnace with detailed kinetics
• Multiscale modelling of spillover processes in heterogeneous catalytic systems
• A stochastic approach to improve the particle size distribution prediction of a classical emulsion polymerization model
• Multiscale simulation for high efficiency biodiesel process intensification
• Simulation and analysis of crystallization of high aspect ratio crystals with fragmentation
• Modelling of Cold Traps for Sodium purification in Fast Reactor
• HAZOP studies using a functional modeling framework
• An Online Inverse Problem for the Simulation of Extraction Columns using Population Balances
• Simulation of bioethanol production process from residual microalgae biomass
• Hydrodynamic And Heat Transfer Modeling Of Polydisperse Fluidized Bed Olefin Polymerization Reactors
• Modelling, validation and control of an evaporative cooling system for scraped surface heat exchangers
• Automated optimization model to perform sensitivity analysis on cost of investment required to upgrade treatment plants in water networks.
• Mathematical investigation of the case hardening phenomenon explained by shrinkage and collapse mechanisms occurring during drying processes
• Dynamic modelling and simulation of Kühni extraction columns
• Reynolds-Averaged Navier-Stokes Modelling of the Near-Field Structure of Accidental Releases of Carbon Dioxide from Pipelines
• Large Eddy Simulation and Particle Impact Kinetics for Bend Erosion Prediction
• Prediction of the Permeability of Packed Beds of Non-Spherical Particles
• Syngas production from sugar cane bagasse in a circulating fluidized bed gasifier using Aspen Plus™: Modelling and Simulation
• Novel Adiabatic Reactor Design for Supercritical Fischer-Tropsch Synthesis
• Process Analysis of Rotary-Type Solar Reactor for Hydrogen Production Systems
• Modeling and simulation of suspension polymerization of vinyl chloride via population balance model
• Computational Study of a Rotating Packed Bed Distillation Column
• Sugarcane bagasse as raw material to Syngas production: 3D simulation of gasification process
• CFD Modelling and Video Analysis Based Model Validation for a Stirred Reactor
• Dynamic Modelling of a Polypropylene Production Plant
• Multi-Scale Modelling of Biomass Pyrolysis Processes
• Information integration
• CFD study of liquid drainage in flotation foams
• Estimation of Kinetic Parameters and Mathematic Model Validation for Nylon-6 Process
• CPFD simulation of fluidized bed flow in FCC regenerator
• CFD Simulation of Three-Dimensional Multiphase Flow in a Rotating Packed Bed
• Monte Carlo simulation of shape evolution in solutions - A model study of BaSO4 precipitation
• Using CAPE to Enhance the Sustainability of Utilizing Natural Gas in Ammonia Production
• Food supply chain planning and quality optimization approach.
• Towards a Generic Tool to Support Multiscale Modelling of Discrete Event Systems
• Extended rate-based model validation for polyester synthesis by reactive distillation
• Prediction of physical properties of non-electrolyte organic compounds by distance weighted group contribution methods
• Simulation Tools for the Design of Optimised Membrane Modules and Processes
• A New Theoretical Result for Convex Nonlinear Generalized Disjunctive Programs and its Applications
• A generalization of classical αBB underestimation to include bilinear terms
• An index reduction method for solving differential algebraic equations
• Linear MPC based on data-driven Artificial Neural Networks for large-scale nonlinear distributed parameter systems
• Surrogate based Optimisation for Design of Pressure Swing Adsorption Systems
• Wavelet-Threshold Influence in Optimal Control Problems
• Intelligent Automation Platform for Bioprocess Development
• Efficient optimization of simulated moving bed processes using reduced order models
• Dual Stochastic Programming for Data Mining Enhancement
• HAZOP - an automaton-inspired approach
• Effect of Topology on Parallel Computing for Optimizing Large Scale Logistics through Binary PSO
• An Approach to Process Monitoring under Probabilistic Constraints
• A Novel Hybrid Simulation-Optimization Approach for the Optimal Design of Multicomponent Distillation Columns
• Reduced Rigorous Models for Efficient Dynamic Simulation and Optimization of Distillation Columns
• State estimators for better bioprocesses operation
• Practical aspects on nonlinear state estimation
• Design of Flotation Circuits Including Uncertainty and Water Efficiency
• Heat Integration in non-Isothermal Systems Using an Alternative Disjunctive Optimization Model
• Global Solution of Min-Max Optimization Problems for Nonlinear Dynamic Systems
• Rigorous computational methods for dimensionality reduction in multi-objective optimization
• An Efficient Adjoint-Free Dynamic Optimization Methodology for Batch Processing using Pontryagin’s Formulation
• A Fractional Calculus Application to Biological Reactive Systems
• Bounding the Solutions of Parametric ODEs
• BzzMath
• Identification and Estimation of Functional States in Drinking Water Plant Based On Fuzzy Clustering
• Comparison of surrogate models for wastewater process synthesis
• Homotopy Continuation Solution Method in Nonlinear Model Predictive Control Applications
• Stochastic and hybrid approaches to solve integrated synthesis and operation of batch processes
• Model-based design of experiments for model identification using closed-loop set-point response
• Development of a Nonlinear Model Predictive Control Framework for a PEM Fuel Cell System
• A Numerical Tool for Integrating Renewable Energy into Total Sites with Variable Supply and Demand
• Pilot-plant Simulation, Experimental Campaign and Rigorous Modeling of a Batch MMA Polymerization Reactor for the Fabrication of Bone Tissue
• Probabilistic optimal control of blood glucose under uncertainty
• A novel optimal experiment design technique based on multi-objective optimization and its application for toxin kinetics model of hemodialysis patients
• Optimization of protein A chromatography for antibody capture
• Multiscale Modelling and Simulation of simultaneous Oxygen and Nitric Oxide uptake in the Human Lungs and its application to Methemoglobin Anemia
• Thermodynamically constrained Flux and Control Analysis of Escherichia coli
• In Silico Analysis to Explore the Effect of Various Carbon Sources on Ethanol Production in Zymomonas mobilis
• A Mathematical Programming Approach to Community Structure Detection in Complex Networks
• Improvements on Adaptive Predictive Control for Blood Glucose Regulation in Type I Diabetic Patients
• Virtual Reality and Augmented-Virtual Reality as Tools to Train Industrial Operators
• Use of a distributed simulation environment for training in Supply Chain decision making
• Bridging the Experience Gap - How do we migrate Skills and Knowledge between the Generations?
• Computer aided delivery of case-based learning activities in EBL within chemical engineering curriculum
• Development of a safety education system for SMB operation
• Performance Indicators for the Assessment of Industrial Operators
• Index