26th European Symposium on Computer Aided Process Engineering

Part A and B
 
 
Elsevier (Verlag)
  • 1. Auflage
  • |
  • erschienen am 17. Juni 2016
  • |
  • 2486 Seiten
 
E-Book | ePUB mit Adobe DRM | Systemvoraussetzungen
E-Book | PDF mit Adobe DRM | Systemvoraussetzungen
978-0-444-63444-3 (ISBN)
 

26th European Symposium on Computer Aided Process Engineering contains the papers presented at the 26th European Society of Computer-Aided Process Engineering (ESCAPE) Event held at Portoro? Slovenia, from June 12th to June 15th, 2016.

Themes discussed at the conference include Process-product Synthesis, Design and Integration, Modelling, Numerical analysis, Simulation and Optimization, Process Operations and Control and Education in CAPE/PSE.


  • Presents findings and discussions from the 26th European Society of Computer-Aided Process Engineering (ESCAPE) Event
1570-7946
  • Englisch
  • Oxford
  • |
  • Niederlande
Elsevier Science
  • 217,25 MB
978-0-444-63444-3 (9780444634443)
0444634444 (0444634444)
weitere Ausgaben werden ermittelt
  • Part A
  • Front Cover
  • 26th European Symposium Oncomputer Aided Process Engineering
  • Copyright
  • Contents
  • Preface
  • International Scientific Committee
  • Local Organising Committee
  • Modelling and iterative Real-time Optimization of a homogeneously catalyzed hydroformylation process
  • 1. Introduction
  • 2. Process Description
  • 3. Model Description
  • 4. Iterative Real-time Optimization
  • 5. Results
  • 6. Conclusions
  • References
  • Integrated management of hierarchical levels: towards a CAPE tool
  • 1. Introduction
  • 2. Methodology
  • 3. Results
  • 4. Discussions
  • 5. Conclusions
  • Acknowledgments
  • References
  • Mathematical Optimization of Real-time Waste Incineration Scheduling in the Industry
  • 1. Introduction
  • 2. System Overview
  • 3.Methodology
  • 4. Industrial testing
  • 5. Conclusions
  • References
  • Modelling SER Biomass Gasification Using Dynamic Neural Networks
  • 1. Introduction
  • 2. Biomass steam gasification model
  • 3. NARX Dynamic neural network model
  • 4. Results and discussion
  • Conclusion
  • References
  • PERKS: Software for Parameter Estimation in Reaction Kinetic Systems
  • 1. Introduction
  • 2. Parameter Estimation Problem
  • 3. Global Dynamic Optimization Methods
  • 4. PERKS Software
  • 5. Case Study: Continuous Pharmaceutical Manufacturing Unit
  • 6. Conclusions
  • 7. Availability
  • 8. Acknowledgments
  • References
  • Optimization of a Sour Water Stripping Plant Using Surrogate Models
  • 1. Introduction
  • 2. Methodology
  • 3. Case study: sour water stripping plant
  • 4. Conclusions
  • Acknowledgements
  • References
  • Security Analysis of the Electronic Management System for a Total Site Utility System
  • 1. Introduction
  • 2. Overview of Industrial Control systems
  • 3. Electronic Management System Model for Efenis
  • 4. Risk Analysis of the EMS Model for Efenis
  • 5. Proposed Public Key Infrastructure used to secure EMS System
  • 6. Conclusions
  • Acknowledgement
  • References
  • Enhanced production of methanol from switch grass: CO2 to methanol
  • 1. Introduction
  • 2. Process description
  • 3. Solution procedure
  • 4. Results
  • 5. Conclusions
  • References
  • Techno-economic analysis of the production of epichlorhydrin from glycerol
  • 1. Introduction
  • 2. Process description
  • 3. Solution procedure
  • 4. Results
  • 5. Conclusions
  • References
  • Kriging based Fault Detection and Diagnosis Approach for Nonlinear Noisy Dynamic Processes
  • 1. Introduction
  • 2. Methodology
  • 3. Application and discussions
  • 4. Conclusions
  • References
  • Kinetics of Phycocyanobilin Cleavage from C-Phycocyanin by Methanolysis
  • 1. Introduction
  • 2. Experimental
  • 3. Kinetic model
  • 4. Results and Discussion
  • 5. Conclusions
  • Acknowledgement
  • References
  • Simulation of Turbulent Particulate Flows for Nuclear Waste Management: Agglomeration in Vertical Flows
  • 1. Introduction
  • 2. Numerical methodology
  • 3. Results and Discussion
  • 4. Conclusions
  • References
  • A feasibility-based algorithm for Computer Aided Molecular and Process Design of solvent-based separation systems
  • 1. Introduction
  • 2. Proposed tests
  • 3. Proposed algorithm
  • 4. Case study and Results
  • 5. Conclusions
  • References
  • Multiobjective Retrofitting Methodology for Manufacturing Processes of Active Pharmaceutical Ingredients Considering Environment, Health and Safety Risks
  • 1. Introduction
  • 2. Method
  • 3. Case Study
  • 4. Conclusions and outlook
  • Acknowledgements
  • References
  • Performance Evaluation of Unsteady Processes with Dynamic and Temporal Flexibility Indices
  • 1. Introduction
  • 2. Process model
  • 3. Dynamic and temporal flexibility indices
  • 4. Karush.Kuhn.Tucker conditions
  • 5. Trapezoidal integration rule
  • 6. Case studies
  • 7. Conclusions
  • References
  • Solution of Chance-Constrained Mixed-Integer Nonlinear Programming Problems
  • 1. Introduction and Motivation
  • 2. Evaluation of Chance Constraints
  • 3. Framework for Chance-Constrained MINLP Problems
  • 4. Case Study: Process Synthesis under Uncertainty
  • 5. Conclusions & Outlook
  • 6. Acknowledgements
  • References
  • Hydrogen Sulphide Scavenging Simulation in HYSYS
  • 1. Introduction
  • 2. Simulation
  • 3. Results and Discussion
  • 4. Conclusions
  • References
  • Dynamic Real-Time Optimization of Microgrids with Day-Ahead Commitments for External Power Exchange
  • 1. Introduction
  • 2. Problem Formulation
  • 3. Case Study
  • 4. Conclusions
  • 5. Acknowledgments
  • References
  • Methodology for preselecting heat-integrated mass allocation networks likely to be associated withcost efficient HEN
  • 1. Introduction
  • 2. Initial MILP model
  • 3. Modified MILP model: HEN cost evaluation and reduction
  • 4. Case study
  • 5. Conclusion
  • References
  • Computer-Aided Molecular Design by Combining Genetic Algorithms and COSMO-RS
  • 1. Introduction
  • 2. COSMO-CAMD framework
  • 3. Case study: Solvent design for extraction
  • 4. Conclusions
  • Acknowledgments
  • References
  • Energy consumption maps for quaternary distillation sequences
  • 1. Introduction
  • 2. Case of study
  • 3. Design and optimization methodology
  • 4. Results
  • 5. Conclusions
  • References
  • Energy integration of a hydrotreating process for the production of biojet fuel
  • 1. Introduction
  • 2. Modelling of hydrotreating process
  • 3. Energy integration of the hydrotreating process
  • 4. Results
  • 5. Conclusions
  • 6. Acknowledgments
  • References
  • Mathematical Optimization of the Production of Fuel Pellets from Residual Biomass
  • 1. Introduction
  • 2. Modelling the multi-objective mathematical scenarios
  • 3. Analysis of the Optimal Model Scenarios
  • 4. Conclusions
  • References
  • On Optimal Assignment of Cold Stand by Components for Multi-Channel Safety Interlocks
  • 1. Introduction
  • 2. Superstructure
  • 3. Maintenance policies
  • 4. Encoding scheme
  • 5. Case studies
  • 6. Conclusions
  • References
  • Optimising biomass-based energy supply chains for sustainable mobility
  • 1. Introduction
  • 2. Problem Description and Mathematical Features
  • 3. Case Study
  • 4. Final Remarks
  • References
  • Estimation of membrane fouling parameters for concentrating lactose using nanofiltration
  • 1. Introduction
  • 2. Process Description
  • 3. Parameter Estimation
  • 4. Conclusions
  • 5. Acknowledgment
  • References
  • Multi-Scale Modeling of Solid Electrolyte Interface Formation in Lithium-Ion Batteries
  • 1. Introduction
  • 2. Mathematical Model
  • 3. Results and Discussion
  • 4. Conclusions
  • References
  • Automatic Model Reduction of Population Balance Models by Proper Orthogonal Decomposition
  • 1. Introduction
  • 2. Mathematical method
  • 3. Automatic model reduction
  • 4. Example: fluidized bed crystallizer
  • 5. Outlook
  • References
  • Parallel computing in multi-parametric programming
  • 1. Introduction
  • 2. Multi-parametric quadratic programming - A case study
  • 3. Results and Discussion
  • 4. Conclusion
  • 5. Acknowledgements
  • References
  • Modelling of a Reactive Distillation in the production process of high purity Cyclohexanone to produce caprolactam
  • 1. Introduction
  • 2. Experimental
  • 3. Distillation column model
  • 4. Results and discussion
  • 5. MINLP optimisation
  • 6. Conclusions
  • References
  • Multimodal Green Food Supply Chain Design and Planning under Uncertainty
  • 1. Introduction
  • 2. Modelling framework
  • 3. Design problem
  • 4. Example
  • 5. Conclusions
  • References
  • Derivative-Free Chemical Process Synthesis by Memetic Algorithms Coupled to Aspen Plus Process Models
  • 1. Introduction
  • 2. Design Optimization of Chemical Processes
  • 3. A Multi-Objective Memetic Algorithm for Design Optimization
  • 4. The Case Study
  • 5. Results
  • 6. Conclusions
  • References
  • Price Adjustment in Price-based Coordination Using Quadratic Approximation
  • 1. Introduction
  • 2. Problem Formulation
  • 3. Price Adjustment Using Quadratic Approximation
  • 4. Case Studies
  • 5. Simulation Results
  • 6. Conclusions
  • References
  • Is Wood Waste Only for Burning? A Methodology for Best Pathway Identification of Waste Recovery
  • 1. Introduction
  • 2. Methodology description
  • 3. Case Study
  • 4. Conclusion and Outlook
  • References
  • A new scheme for process simulation by optimization: distillation as an example
  • 1. Introduction
  • 2. Methodology
  • 3. Numerical results
  • 4. Conclusion
  • References
  • Renewable electricity integration at a regional level: Cantabria case study
  • 1. Introduction and context
  • 2. Development of the electricity grid network model in Cantabria
  • 3. Mathematical model
  • 4. Results
  • 5. Conclusions
  • References
  • Multi-Stage Adaptive Robust Optimization over Bioconversion Product and Process Networks with Uncertain Feedstock Price and Biofuel Demand
  • 1. Introduction and Background
  • 2. Problem Statement, Model Formulation, and Solution Method
  • 3. Results and Discussion
  • 4. Conclusion
  • References
  • Cost-based analysis about a newly designed twostaged reverse osmosis process with draw solute
  • 1. Introduction
  • 2. Process description
  • 3. Mathematical model
  • 4. Cost estimation model
  • 5. Results and discussion
  • 6. Conclusions
  • Acknowledgement
  • References
  • Chemical Looping Reforming: Impact on the Performances Due to Carbon Fouling on Catalyst
  • 1. Introduction
  • 2. Mathematical model
  • 3. Results
  • 4. Conclusions
  • 5. References
  • Targeting the hydrogen network and optimal feed using rigorous simulation
  • 1. Introduction
  • 2. Problem statement
  • 3. Mathematical simulation of pressure swing adsorption (PSA)
  • 4. The optimization model of the hydrogen network
  • 5. Case study
  • 6. Conclusions
  • Acknowledgements
  • References
  • Incorporating life cycle assessment indicators into optimal electric vehicle charging strategies: An integrated modelling approach
  • 1. Introduction
  • 2. Methodology
  • 3. Case study
  • 4. Conclusions
  • References
  • Neural Networks Modeling of Dearomatization of Distillate Cuts with Furfural to Produce Lubricants
  • 1. Introduction
  • 2. Neural networks for modeling dearomatization
  • 3. Results and discussion
  • 4. Conclusions
  • References
  • Lignocellulosic supply chain MILP model: a Hungarian case study
  • 1. Introduction
  • 2. Problem statement
  • 3. Mathematical formulation
  • 4. Case study
  • 5. Results and discussion
  • 6. Concluding remarks
  • 7. Acknowledgements
  • References
  • A framework for modelling investment decisions in gas infrastructures
  • 1. Introduction
  • 2. Methodology
  • 3. Interregional gas supply: case study
  • 4. Results and discussion
  • 5. Conclusions
  • 6. Acknowledgements
  • References
  • Process Design and Integration of Various Carbon Capture Approaches into the Energy Sector and Other Energy-intensive Industrial Applications
  • 1. Introduction
  • 2. Carbon capture approaches, plant configurations & model assumptions
  • 3. Results and discussions
  • 4. Conclusions
  • Acknowledgement
  • References
  • Assessment of chemical looping combustion process by dynamic simulation
  • 1. Introduction
  • 2. Mathematical model
  • 3. Simulation results
  • 4. Conclusions
  • Acknowledgement
  • References
  • Comparison of Different Heat Exchanger Tube Designs used in Latent Heat Thermal Energy Storage Systems - a Numerical Study
  • 1. Introduction
  • 2. Mathematical model
  • 3. Numerical model of the analysed heat exchanger tube
  • 4. Results and discussion
  • 5. Conclusions
  • References
  • Global sensitivity analysis of computer-aided molecular design problem for the development of novel working fluids for power cyc
  • 1. Introduction
  • 2. Methodology
  • 3. Results and discussion
  • 4. Conclusion
  • References
  • Minimizing the complexity of surrogate models for optimization
  • 1. Introduction
  • 2. Optimization through Separation and Surrogate Modelling
  • 3. Examples and Applications
  • 4. Conclusion
  • References
  • Optimization Methods for Catalyst Design
  • 1. Introduction
  • 2. Model and solution procedure
  • 3. Results and Discussion
  • 4. Conclusions
  • References
  • Model-based framework for enhanced and controlled operation of a fed-batch bioreactor: xylitol production
  • 1. Introduction
  • 2. Methodology
  • 3. Results
  • 4. Conclusions
  • Acknowledgments
  • References
  • Dynamic behavior of a multi-tasking reactive distillation column for production of silane, dichlorosilane and monochlorosilane
  • 1. Introduction
  • 2. Model of multi-tasking reactive distillation column
  • 3. Results
  • Conclusions
  • References
  • Use of predictor corrector methods for multi-objective optimization of dynamic systems
  • 1. Introduction
  • 2. Scalarization of bi-criterial optimization problems
  • 3. Tubular reactor example
  • 4. Conclusions
  • References
  • Economic risk-based analysis: Effect of technical and market price uncertainties on the production of glycerol-based isobutanol
  • 1. Introduction
  • 2. Materials and methods
  • 3. Deterministic economic assessment
  • 4. Stochastic economic evaluation
  • 5. Conclusion
  • 6. References
  • Synthesis and Optimization of Microalgae Biorefineries
  • 1. Introduction
  • 2. Methodology
  • 3. The case of a real-life microalga biorefinery
  • 4. Conclusions
  • Acknowledgements
  • References
  • Testing the Non-Diagonal Quadratic Convex Reformulation Technique
  • 1. Introduction
  • 2. Reformulation of 0-1 QPs
  • 3. Results
  • 4. Conclusions
  • References
  • Development of soft sensor with neural network and nonlinear variable selection for crude distillation unit process
  • 1. Introduction
  • 2. Process description
  • 3. Proposed algorithm
  • 4. Simulation Results
  • 5. Conclusions
  • References
  • Modelling of organophilic pervaporation to compete with distillation
  • 1. Introduction
  • 2. Methanol-water separation
  • 3. Ethanol-water separation
  • 4. Isobutanol-water separation
  • 5. Conclusion
  • References
  • Optimal regional resource utilisation . the St. Margarethen case
  • 1. Introduction
  • 2. Method . Process Network Synthesis in a wider think-tank for resource optimisation
  • 3. Regional resource utilisation in the case study region
  • 4. Results of regional resource optimisation with Process Network Synthesis (PNS)
  • 5. Conclusions
  • References
  • Mathematical Programming Approach for the Design of Intensified Thermally Coupled Distillation Sequences
  • 1. Introduction
  • 2. Example
  • 3. Conclusions
  • 4. Acknowledgements.
  • References
  • Discrete-Time MIP Methods for Production Scheduling in Multistage Facilities
  • 1. Introduction
  • 2. Problem Statement
  • 3. Discrete-Time Mathematical Programming Models
  • 4. Solution Methods
  • 5. Computaional Study
  • 6. Conclusions
  • References
  • Economic, Environmental and Dynamic Optimization Applied to Hybrid Processes for the Purification of Biobutanol
  • 1. Introduction
  • 2. Dynamic properties from the point of view of the design
  • 3. Case Study
  • 4. Optimization Problem
  • 5. Global stochastic optimization strategy
  • 6. Results
  • 7. Conclusions
  • References
  • Purification of Bioethanol from a Fermentation Process: Alternatives for Dehydration
  • 1. Introduction
  • 2. Methodology
  • 3. Results and Discussion
  • 4. Conclusion
  • References
  • Optimization of OSN Membrane Cascades for Separating Organic Mixtures
  • 1. Introduction
  • 2. OSN Membrane Cascade Superstructure
  • 3. Membrane Performance Model
  • 4. Case Study
  • 5. Conclusions
  • References
  • On a systems approach to support novelty in bioreactor design
  • 1. Introduction
  • 2. Problem Description
  • 3. Illustration example
  • 4. Conclusions and future work
  • Acknowledgements
  • References
  • Comparison of Continuous-Time Models for Adjustable Robust Optimization in Process Scheduling under Uncertainty
  • 1. Introduction
  • 2. Adjustable Robust Optimization Framework
  • 3. Computational Results
  • 4. Conclusions
  • 5. Acknowledgements
  • References
  • Developing a Soft Sensor with Online Variable Selection for Industrial Multi-mode Processes
  • 1. Introduction
  • 2. Preliminaries
  • 3. Proposed Approach
  • 4. Industrial application
  • 5. Conclusions
  • References
  • CFD Modelling of Bubbly Gas Flow using Coupled OPOSPM-Two-Fluid Model
  • 1. Introduction
  • 2. Coupled OPOSPM Two-Fluid Model
  • 3. Numerical results and discussion
  • 4. Summary and conclusions
  • References
  • Design and control of azeotropic dividing wall column for separating furfural-water mixture
  • 1. Introduction
  • 2. Process studied
  • 3. Control Strategy
  • 4. Conclusions
  • References
  • Multiobjective Optimization of Membrane Networks for Fractionation of Protein Hydrolysate from Fish By-Products
  • 1. Introduction
  • 2. Case study
  • 3. Process modelling
  • 4. Results
  • 5. Conclusions
  • References
  • Optimization and Monte Carlo Simulation for Product Launch Planning under Uncertainty
  • 1. Introduction
  • 2. Literature Review
  • 3. Proposed Method
  • 4. Preliminary computational results
  • 5. Conclusion
  • Acknowledgement
  • References
  • Population Balance Modelling of Liquid Extraction Columns using the Sectional Quadrature Method of Moments (SQMOM)
  • 1. Introduction
  • 2. Droplet hydrodynamics and mass transfer using the SQMOM
  • 3. SQMOM spatial discretization
  • 4. Numerical and experimental validation
  • 5. Summary and conclusions
  • References
  • Robust multi-objective optimal control of dynamic biological networks
  • 1. Introduction
  • 2. Sampling-based approximation techniques for uncertainty propagation
  • 3. Case study: Four step linear pathway with Michaelis-Menten kinetics
  • 4. Conclusions & future work
  • References
  • Influence of the Mushy Zone Constant on the Numerical Simulation of the Melting and Solidification Process of Phase Change Materials
  • 1. Introduction
  • 2. Mathematical model
  • 3. Numerical model of the analysed heat exchanger tube
  • 4. Results and discussion
  • 5. Conclusions
  • Acknowledgment
  • References
  • CFD Simulation of Boiling Flows for Nuclear Reactor Thermal Hydraulic Applications
  • 1. Introduction
  • 2. CFD model
  • 3. Results and discussion
  • 4. Conclusions
  • Acknowledgements
  • References
  • Group - Interaction Contribution Approach for Prediction of Electrochemical Properties of Ionic Liquids
  • 1. Introduction
  • 2. Methodology
  • 3. Results and discussion
  • 4. Conclusion
  • 5. References
  • Whole-Systems Modelling of Alternatives for Future Domestic Transport
  • 1. Introduction
  • 2. Problem statement and model description
  • 3. Network structure
  • 4. Electric vechicles as temporary storage devices
  • 5. Conclusion
  • Reference
  • Multi-scale modelling software framework facilitating simulation of interconnected scales using surrogate-models
  • 1. Background
  • 2. An onion approach to multi-scale modelling
  • 3. Software framework
  • 4. Discussion and Conclusion
  • Acknowledgements
  • References
  • Reliable Energy Systems Design for Continuous Processes incorporating Renewables Generation
  • 1. Introduction
  • 2. Problem Statement
  • 3. Mathematical Formulation
  • 4. Case Study
  • 5. Conclusion
  • References
  • Dynamic impact milling model with a particle-scale breakage kernel
  • 1. Introduction
  • 2. Single particle breakage model
  • 3. Dynamic model of impact milling
  • 4. Results and discussion
  • 5. Conclusions
  • Acknowledgement
  • References
  • Projection-based Reformulation and Decomposition Algorithm for A Class of MixedInteger Bilevel Linear Programs
  • 1. Introduction
  • 2. Reformulations
  • 3. Master Problem and Subproblems
  • 4. Algorithm
  • 5. Illustrative Examples
  • 6. Conclusions
  • References
  • Mass and energy integration for the supercritical process for biodiesel production and a bioethanol dehydration train
  • 1. Introduction
  • 2. Case study
  • 3. Methodology
  • 4. Results
  • 5. Conclusions
  • References
  • Convex Model for Global Optimization of Water Distribution System
  • 1. Introduction
  • 2. Problem Definition
  • 3. Mathematical Model
  • 4. Examples
  • 5. Conclusions
  • References
  • Multi-level Modelling of Sustainable Chemical Production: from CFD to LCA
  • 1. Introduction
  • 2. Methodology
  • 3. Multi-Objective Optimisation
  • 4. Conclusions
  • Acknowledgement
  • References
  • Modeling and simulation of phase change and non-ideality in multistream heat exchangers
  • 1. Introduction
  • 2. Background
  • 3. Modeling phase changes and nonideal thermodynamics
  • 4. PRICO process simulation
  • 5. Conclusions
  • 6. Acknowledgments
  • References
  • Using Transient Measurements in Iterative Steady-State Optimizing Control
  • 1. Introduction
  • 2. Modifier adaptation with quadratic approximation
  • 3. Steady states estimation from transients
  • 4. Simulation study
  • 5. Conclusions
  • References
  • Computationally Efficient Steady-State Process Simulation by Applying a Simultaneous Dynamic Method
  • 1. Introduction
  • 2. Dynamic Method for single units
  • 3. Simultaneous Dynamic Method
  • 4. Conventional methods for process simulation
  • 5. Methanol synthesis process
  • 6. Results
  • 7. Conclusion
  • References
  • Spatial branch and bound algorithm for the global optimization of MIQCPs
  • 1. Introduction
  • 2. Problem definition
  • 3. MILP relaxation from multiparametric disaggregation (MDT)
  • 4. Optimality based bound tightening (OBBT)
  • 5. Branching strategy
  • 6. Global optimization algorithm
  • 7. Numerical experiments
  • 8. Conclusions
  • References
  • Risk Management of Shale Gas Supply Chain under Estimated Ultimate Recovery Uncertainty
  • 1. Introduction
  • 2. Problem Statement
  • 3. Model Formulation
  • 4. Solution Method
  • 5. Case Study
  • 6. Conclusions
  • References
  • Optimal Design and Synthesis of Shale Gas Processing and NGL Recovery Processes
  • 1. Introduction
  • 2. Uncertainty set definition
  • 3. Process description
  • 4. Model formulation and solution method
  • 5. Results and discussion
  • 6. Conclusions
  • References
  • A Leader-Follower Game-Based Life Cycle Optimization Framework and Application
  • 1. Introduction
  • 2. Problem Statement
  • 3. Model Formulation and Solution Method
  • 4. Case Study and Results Discuss
  • 5. Conclusions
  • References
  • Adjustable Robust Optimization for Scheduling of Batch Processes under Uncertainty
  • 1. Introduction
  • 2. Model formulation
  • 3. Solution Strategies
  • 4. Case study
  • 5. Conclusions
  • References
  • Effective Sampling, Modeling and Optimization of Constrained Black-box Problems
  • 1. Introduction
  • 2. Problem Statement
  • 3. Surrogate Model Optimization Framework
  • 4. Results
  • 5. Conclusions
  • References
  • Integration of Energy-cost Optimization and Production Scheduling Using Multiparametric Programming
  • 1. Introduction
  • 2. Problem statement
  • 3. Model formulation and implementation
  • 4. Numerical case study
  • 5. Discussion and conclusion
  • Acknowledgment
  • References
  • Simulation and optimization of the molecular weight distribution in a non-ideal polymerization reactor
  • 1. Introduction
  • 2. CFD Simulation
  • 3. Optimizations
  • 4. Results and Discussion
  • 5. Conclusions
  • Acknowledgments
  • References
  • Efficient optimization-based design of energetically intensified distillation processes
  • 1. Introduction
  • 2. Modeling and Optimization
  • 3. Case study - Results & discussion
  • 4. Conclusion
  • References
  • Anaerobic Bio-reactor Modeling
  • 1. Introduction
  • 2. Mathematical model for integrated fermentation and gas stripping unit
  • 3. Results and Discussion
  • 4. Conclusions
  • References
  • Effects of Bioethanol Pretreatments on the Broth Concentration and its Impacts in the Optimal Design of Product Separation and P
  • 1. Introduction
  • 2. Pretreatment Methods
  • 3. Key-Factors Evaluation for Bioethanol Concentration
  • 4. Results and analysis
  • 5. Conclusion
  • 6. Acknowledgments
  • References
  • Bio-syngas Conversion by FT Synthesis with High Loaded Fe-based Catalysts: Kinetic Parameters Regression
  • 1. Introduction
  • 2. Experimental set-up
  • 3. Results and discussion
  • 4. Kinetic Regression
  • 5. Conclusions
  • References
  • Design of a Multiproduct Lignocellulosic Biorefinery through the Process Modelling of a Feasible Superstructure
  • 1. Introduction
  • 2. A methodology for the design of a feasible superstructure of a multiproduct biorefinery
  • 3. Applications: Acetone-Butanol-Ethanol fermentation
  • 4. Results and discussion
  • 5. Conclusions and Perspectives
  • References
  • A Framework for Integrated Scheduling and Control using Discrete-Time Dynamic Process Models
  • 1. Introduction
  • 2. System description
  • 3. Discrete-time Scale Bridging Models
  • 4. Case Study
  • 5. Conclusions
  • 6. Acknowledgements
  • References
  • A model-based investigation of genetically modified microalgae strains
  • 1. Introduction
  • 2. Materials and methods
  • 3. Results and discussion
  • 4. Conclusions
  • References
  • Inclusion of thermodynamic equations for efficient steady-state process optimization
  • 1. Introduction
  • 2. Proposed Framework
  • 3. Case Study
  • 4. Conclusion
  • References
  • Application of a Knowledge Management System to a Dropwise Additive Manufacturing System for Pharmaceuticals
  • 1. Introduction
  • 2. Dropwise additive manufacturing of pharmaceutical products
  • 3. KProMS system
  • 4. Data Extraction and Analysis
  • 5. Conclusions
  • References
  • Multiscale Simulation of Bubbly Flows
  • 1. Introduction
  • 2. Computational methods
  • 3. Computational conditions
  • 4. Results and discussion
  • 5. Conclusions
  • References
  • Smart Adaptive Sampling for Surrogate Modelling
  • 1. Introduction
  • 2. Problem Statement
  • 3. Smart Sampling Algorithm (SSA)
  • 4. Algorithm Evaluation
  • 5. Conclusions
  • References
  • Novel plant-wide process design of dichlorohydrin production by glycerol hydrochlorination
  • 1. Introduction
  • 2. Kinetic and Thermodynamic Models
  • 3. Design of Plant-Wide Processes
  • 4. Design of a Thermally Coupled Process
  • 5. Conclusions
  • References
  • Optimization of dynamic systems with rigorous path constraint satisfaction
  • 1. Introduction
  • 2. Problem statement
  • 3. Algorithm description
  • 4.Williams-Otto semi-batch reactor case study
  • 5. Summary and conclusion
  • 6. Acknowledgment
  • References
  • Green Approaches to Extract Astaxanthin from Shrimp Waste: Process Design and Economic Evaluation
  • 1. Introduction
  • 2. Process Description
  • 3. Cost Analysis and Economic Evaluation
  • 4. Conclusions
  • Acknowledgement
  • References
  • Synthesis and Design Strategies of Interplant Water Networks using Water Mains with Quality Specifications
  • 1. Introduction
  • 2. Methodology
  • 3. Case Study Illustration
  • 4. Conclusions
  • Acknowledgment
  • References
  • Inventory Management during Startup Operations of the Benchmark Chemical Plant
  • 1. Introduction
  • 2. VAM (Vinyl Acetate Monomer) Production Process
  • 3. Time reduction of start-up procedures
  • 4. Concluding remarks
  • Acknowledgment
  • References
  • Conceptual reactive crystallization process design for separation and purification of phosphorus from complex sludge ash
  • 1. Introduction
  • 2. Experimental methods
  • 3. Results and discussion
  • 4. Conclusions
  • References
  • Modelling and Optimal Control of Non-Viral siRNA Delivery
  • 1. Introduction
  • 2. Pharmacokinetic Modelling of siRNA Delivery
  • 3. Pharmacodynamic Modelling and Optimal Control of siRNA Delivery
  • 4. Results
  • 5. Conclusion
  • References
  • Process retrofit for energy-use improvement of an absorption and stabilization process in refineries
  • 1. Introduction
  • 2. Process simulation and analysis of existing absorption and stabilization process
  • 3. New process simulation and parameter optimization
  • 4. Conclusions
  • References
  • Acknowledgements
  • A Generic Methodology for Superstructure Optimization of Different Processing Networks
  • 1. Introduction
  • 2. Methodology and data management
  • 3. Software implementation
  • 4. Conclusions and future work
  • References
  • A Reformulation Strategy for Deterministic Global Optimization of Ideal Multi-component Distillation Processes
  • 1. Introduction
  • 2. Process Model
  • 3. Reformulation of the column model
  • 4. Computational Results
  • 5. Conclusion
  • References
  • Synthesis of Intensified Processes from a Superstructure of Phenomena Building Blocks
  • 1. Introduction
  • 2. Process Synthesis Approach
  • 3. Case Study: Dehydration of Ethanol
  • 4. Conclusion
  • References
  • A hierarchical coordination approach to the optimal operation of a sugar crystallization process
  • 1. Introduction
  • 2. Process Description
  • 3. Optimal operation of the sugar crystallization process
  • 4. Results
  • 5. Conclusions
  • References
  • Forest Supply Chain Optimization applying Generalized Disjunctive Programming
  • 1. Introduction
  • 2. Problem description
  • 3. Model formulation
  • 4. Results
  • 5. Conclusions
  • References
  • Integrated Transhipment Models for Synchronous Screening of Treatment Technologies and Targeting of Fresh Water and Recycle Flows
  • 1. Introduction
  • 2. The proposed method
  • 3. Fresh water targeting model
  • 4. Treatment process selection model
  • 5. Illustrative examples
  • Acknowledgements
  • References
  • Levelised Value of Electricity - A Systemic Approach to Technology Valuation
  • 1. Introduction
  • 2. The LVOE Approach
  • 3. Electricity Systems Model
  • 4. LVOE of Carbon Capture and Storage in the UK
  • 5. Conclusion
  • References
  • Intensified Separation Processes for the Recovery and Dehydration of Bioethanol from an Actual Lignocellulosic Fermentation Broth
  • 1. Introduction
  • 2. Base process alternatives for bioethanol recovery and dehydration
  • 3. Synthesis of Intensified Sequences
  • 4. Rigorous Design
  • 5. Results and Discussion
  • 6. Conclusions
  • References
  • A Holistic Approach to Model Discovery Using A Domain Ontology
  • 1. Introduction
  • 2. Concept
  • 3. Structure of domain ontology
  • 4. Demonstration
  • 5. Conclusions
  • Acknowledgements
  • References
  • Design of a chemical batch plant: a study of dedicated parallel lines with intermediate storage and the plant performance
  • 1. Introduction
  • 2. Chemical batch plants and parallel production lines
  • 3. Introducing intermediate storage
  • 4. Conclusion
  • 5. Acknowledgements
  • References
  • Multi-Product Reactive Distillation for Silanes Production
  • 1. Introduction
  • 2. Silanes Background
  • 3. Design Methodology
  • 4. Simulation and Results
  • 5. Conclusions
  • References
  • Optimization of Energy Consumption in a Hydrotreating Process for Green Diesel Production from Palm Oil
  • 1. Introduction
  • 2. Green diesel production
  • 3. Experimental study supporting the process simulation
  • 4. Process description
  • 5. The energy optimization of a green diesel production process
  • 6. Conclusions
  • References
  • Optimal dynamic experiment design for guaranteed parameter estimation
  • 1. Introduction
  • 2. Guaranteed Parameter Estimation
  • 3. Optimal Experiment Design for Least-squares Estimation
  • 4. Optimal Experiment Design for Guaranteed Parameter Estimation
  • 5. Case Study
  • 6. Results
  • 7. Conclusions
  • References
  • Short-term crude mix and operating conditions optimization for oil refinery operations
  • 1. Introduction
  • 2. Opportunities in optimization of feedstock diet and operating conditions
  • 3. Initial feasible solution (initialization method)
  • 4. Normalized multi-parametric discretization technique
  • 5. Numerical results
  • 6. Conclusions
  • References
  • Robust Fault Isolation using Stable Principal Component Pursuit
  • 1. Introduction
  • 2. Fault isolation using SPCP
  • 3. Case studies: Tennessee Eastman Process
  • 4. Conclusions
  • Acknowledgement
  • References
  • An integrated process of coke-oven gas tri-reforming and coal to methanol with high carbon utilization and energy efficiency
  • 1. Introduction
  • 2. Integration of cog tri-reforming and coal gasification
  • 3. Performance analysis of the proposed system
  • 4. Conclusions
  • References
  • A General Representation for the Modeling of Energy Supply Chains
  • 1. Introduction
  • 2. Problem Statement
  • 3. Mathematical Formulation
  • 4. Case study
  • 5. Results
  • 6. Conclusions
  • 7. Acknowledgement
  • References
  • Taylor-Made Modeling and Solution of Novel Process Units by Modular CAPE-OPEN-based Flowsheeting
  • 1. Introduction
  • 2. Status Quo - The Introduction of Custom Models in Conventional Simulation Software
  • 3. Proposed Solution Strategy for Collaborative Flowsheet Simulation
  • 4. Application . MOSAIC Models in COFE
  • 5. Conclusions and Outlook
  • 6. Acknowledgements
  • References
  • Time-series aggregation for synthesis of distributed energy supply systems by bounding error in operational expenditure
  • 1. Introduction
  • 2. OPEX-based time-series aggregation
  • 3. Real world example
  • 4. Conclusions
  • Acknowledgements
  • References
  • Automated Data Review in Secondary Pharmaceutical Manufacturing by Pattern Recognition Techniques
  • 1. Introduction
  • 2. Case study and available data
  • 3. Proposed methodology
  • 4. Results for Dataset 1
  • 5. Results for Dataset 2
  • 6. Batch characterization within each cluster for Dataset 1 and Dataset 2
  • 7. Conclusions
  • References
  • Optimization of a Hydrogen Supply Chain Network Design by Multi-Objective Genetic Algorithms
  • 1. Introduction
  • 2. A variant of NSGA-II as a multi-objective optimization procedure
  • 3. GA vs. e-constraint formulation
  • 4. Case Study
  • 5. Results
  • 2. Conclusions
  • 3. References
  • A Generic PAT Software Interface for On-Line Monitoring and Control of Chromatographic Separation Systems
  • 1. Introduction
  • 2. PAT Software Interface Architecture
  • 3. Experimental Feasibility Studies
  • 4. Concluding Remarks
  • Acknowledgement
  • References
  • Enhanced data envelopment analysis for sustainability assessment
  • 1. Introduction
  • 2. Methodology
  • 3. Application of the enhanced DEA to the assessment of electricity technologies
  • 4. Conclusions
  • References
  • Long-term planning and retrofitting of supply and distribution chains with decaying performance
  • 1. Introduction
  • 2. Problem statement
  • 3. Mathematical formulation
  • 4. Case study
  • 5. Results and discussion
  • 6. Conclusions
  • Acknowledgements
  • References
  • Predictive Modelling of Phase-Transfer Catalyst Systems for Improved and Innovative Design
  • 1. Introduction
  • 2. Systematic Biphasic Modelling Framework
  • 3. Application
  • 4. Conclusion
  • References
  • Analysis of the Carbon Efficiency of a Hybrid XTL-CSP process
  • 1. Introduction
  • 2. Methodology
  • 3. Results and Discussion
  • 4. Conclusions
  • References
  • Sustainable Chemical Process Development through an Integrated Framework
  • 1. Introduction
  • 2. Integrated Systematic Framework
  • 3. Case Studies
  • 4. Conclusions
  • 5. References
  • Optimization of Economic and Operability Performances of Water-gas Shift Membrane Reactor
  • 1. Introduction
  • 2. Preliminaries
  • 3. Model development
  • 4. Objective function and optimization methodology
  • 5. Conclusion
  • References
  • Hybrid plant-wide Simulation and Modelling using Reference nets and Java
  • 1. Introduction
  • 2. Problem description
  • 3. A novel modelling approach using Reference nets and Java
  • 4. Simulation examples
  • 5. Conclusion
  • References
  • Extracting knowledge from historical databases for process monitoring using feature extraction and data clustering
  • 1. Introduction
  • 2. Dimensionality Reduction
  • 3. Data Clustering
  • 4. Data Clustering
  • 5. Results
  • 6. Conclusions
  • References
  • Investigating the energy-water-carbon nexus of mega-scale chemicals production from Appalachian shale gas
  • 1. Introduction
  • 2. Feedstock supply and plant design
  • 3. Energy-water-carbon nexus and metrics
  • 4. Result and discuss
  • 5. Conclusions
  • References
  • A Multivariable Model Predictive Control Project in a Computer Aided Master's Degree Course
  • 1. Introduction
  • 2. Process description
  • 3. Computer Aided Project Main Tasks
  • 4. Control objectives and constraints
  • 5. Multivariable MPC control system - Task 3 of the project
  • 6. Conclusions
  • Acknowledgement
  • References
  • H2TT . A pinch analysis software tool for refinery hydrogen network management
  • 1. Introduction
  • 2. Software description
  • 3. Case-study
  • 4. Final remarks
  • Acknowledgments
  • References
  • Modelling and optimization framework for the multi-objective design of buildings
  • 1. Introduction
  • 2. Methodology
  • 3. Case study
  • 4. Results
  • 5. Conclusions
  • Acknowledgments
  • References
  • Modelling and Simulation of an Industrial Riser in Fluid Catalytic Cracking Process
  • 1. Introduction
  • 2. Riser model
  • 3. Equations
  • 4. Results
  • 5. Discussion
  • 6. Conclusions
  • References
  • Optimal design and operation of semi-batch reactive distillation for methyl lactate synthesis with fixed product demand
  • 1. Introduction
  • 2. Semi-batch reactive distillation process model
  • 3. Optimization problem formulation with fixed product demand
  • 4. Case study
  • 5. Results and Discussions
  • 6. Conclusions
  • References
  • Development of Shale Gas Supply Chain Network under Market Uncertainties
  • 1. Introduction
  • 2. Mathematical Formulation
  • 3. Case Study
  • 4. Results and Discussion
  • 5. Conclusions
  • References
  • Development of Hybrid Fuzzy-GMC Control System for MSF Desalination Process
  • 1. Introduction
  • 2. Optimization Problem Formulation
  • 3. Control Strategy
  • 4. Results and Discussions
  • 5. Conclusions
  • References
  • Supply Chain Optimisation of Nipa-based bioethanol industry in Thailand
  • 1. Introduction
  • 2. Methodology
  • 3. Case Study
  • 4. Conclusion
  • References
  • Economic Evaluation of Hybrid FO-crystallization-RO Desalination Process
  • 1. Introduction
  • 2. Process
  • 3. Mathematical model
  • 4. MINLP problem formulation
  • 5. Results and discussion
  • 6. Conclusions
  • Acknowledgements
  • References
  • Modelling and Analysis of a Soybean Biorefinery for the Production of Refined Oil, Biodiesel and Different Types of Flours
  • 1. Introduction
  • 2. Process Simulation
  • 3. Results and Discussion
  • 4. Conclusions
  • Acknowledgements
  • References
  • Disjunctive Models for Strategic Midstream Delivery Agreements in Shale Gas Development
  • 1. Introduction
  • 2. General Problem Statement
  • 3. Strategic Development Constraints
  • 4. Case Study
  • 5. Conclusions
  • References
  • Multiparametric Metamodels for Model Predictive Control of Chemical Processes
  • 1. Introduction
  • 2. Methodology
  • 3. Applications
  • 4. Conclusions
  • References
  • Optimal Reuse of Flowback Wastewater in Shale Gas Fracking Operations Considering Economic and Safety Aspects
  • 1. Introduction
  • 2. Model formulation
  • 3. Results and discussion
  • 4. Conclusions
  • References
  • Control relevant modelling for haemodialysis
  • 1. Introduction
  • 2. Model description
  • 3. Artificial Neural Networks
  • 4. Results
  • 5. Conclusion
  • References
  • Dynamic Multi-Scenario Approach to Robust and Profitable Online Optimization & Optimal Control of Batch Processes
  • 1. Introduction
  • 2. RBSMBO&C method for robust optimization & control
  • 3. Case study: the Williams-Otto fed-batch reactor
  • 4. Conclusions
  • References
  • Merging information from batch and continuous flow experiments for the identification of kinetic models of benzyl alcohol oxidat
  • 1. Introduction
  • 2. Modelling benzyl-alcohol oxidation system: proposed strategy
  • 3. Model equations for reaction systems
  • 4. Model identification results
  • 5. Conclusions
  • References
  • Multi-period Sequential Synthesis of Heat Exchanger Networks and Utility Systems including storages
  • 1. Introduction
  • 2. Problem Statement
  • 3. Test Case and Results
  • 4. Conclusions
  • References
  • Simplification of Equation-Oriented Models through the Digraph Method
  • 1. Introduction
  • 2. Simplification Scheme of EO Models
  • 3. Numerical Example
  • 4. Conclusions
  • Acknowledgements
  • References
  • Enhanced Down-Stream Processing of Biobutanol in the ABE Fermentation Process
  • 1. Introduction
  • 2. Problem statement
  • 3. Modelling approach
  • 4. Results and discussion
  • 5. Process evaluation
  • 6. Conclusions
  • References
  • Enhanced Process for Methanol Production by CO2 Hydrogenation
  • 1. Introduction
  • 2. Problem statement
  • 3. Modelling approach
  • 4. Results and discussion
  • 5. Economic evaluation
  • 6. Conclusions
  • References
  • Novel Process for Conversion of CO2 to Dimethyl Carbonate using Catalytic Membrane Reactors
  • 1. Introduction
  • 2. Problem statement
  • 3. Results and discussion
  • 4. Conclusions
  • References
  • Conceptual Design for the Separation of a Mixture of Isoamyl Acetate and Isoamyl Alcohol
  • 1. Introduction
  • 2. Experimental Section
  • 3. Results and Discussion
  • 4. Conclusions
  • References
  • A New Methodology to Reduce the Exergy Loss of Distillation Columns Using Rigorous Process Simulation
  • 1. Introduction
  • 2. Methodology
  • 3. Results and Discussion
  • 4. Conclusions
  • References
  • Global Optimization for a Continuous Location-Allocation Model for Centralized and Distributed Manufacturing
  • 1. Introduction
  • 2. Problem statement
  • 3. Bilevel Decomposition Algorithm
  • 4. Large-scale example
  • 5. Conclusions
  • References
  • Towards a sustainable hydrogen economy: role of carbon price for achieving GHG emission targets
  • 1. Introduction
  • 2. Problem statement
  • 3. Optimisation-based framework
  • 4. Results and discussion
  • 5. Conclusions
  • Acknowledgements
  • References
  • An Optimal Scheduling of the Heliostat Field in a Solar Tower Power Plant
  • 1. Introduction
  • 2. Optimal Scheduling Problem
  • 3. Optimization Algorithm
  • 4. Simulation Results
  • 5. Conclusions
  • Acknowledgments
  • References
  • Systematic Solvent Evaluation for Artemisinin Recovery in Continuous Pharmaceutical Manufacturing
  • 1. Introduction
  • 2. Solvents for final product recovery
  • 3. Results and discussion
  • 4. Conclusions
  • References
  • Multi-objective Optimisation of Flavour and Processing Time in Beer Fermentation via Dynamic Simulation
  • 1. Introduction
  • 2. The Fermentation Process
  • 3. Reduced-order Fermentation Modelling
  • 4. Model Description
  • 5. Dynamic Simulation
  • 6. Multi-objective Optimisation
  • 7. Temperature Manipulation: Operational Improvements
  • 8. Conclusions
  • References
  • First-principles Rheological Modelling and Parameter Estimation for Nanoparticle-based Smart Drilling Fluids
  • 1. Introduction
  • 2. First Principle Model Development
  • 3. Results and Discussion
  • 4. Conclusions
  • Acknowledgement
  • References
  • Multi-parametric Statistical Analysis of Economic Data for Continuous Pharmaceutical Manufacturing
  • 1. Introduction
  • 2. Pharmaceutical trade data: Methodology and analysis
  • 3. Results and discussion
  • 4. Conclusions
  • References
  • Bayesian Optimization with Dimension Scheduling: Application to Biological Systems
  • 1. Introduction
  • 2. Background and Related Work
  • 3. Bayesian Optimization with Dimension Scheduling Algorithm
  • 4. Results
  • 5. Discussion
  • 6. Conclusion
  • Acknowledgments
  • References
  • A framework for Simultaneous State Estimation and Robust Hybrid Model Predictive Control in Intravenous Anaesthesia
  • 1. Introduction
  • 2. Theoretical Background
  • 3. Results
  • 4. Conclusions
  • References
  • Synthesis of Heat Exchangers Network (HEN) and Optimization under Variability and Uncertainty
  • 1. Introduction
  • 2. Methodology
  • 3. Mathematical Formulation
  • 4. Results and Discussions
  • 5. Conclusion
  • References
  • Coupled Thermo-Mechanical-Chemical modelling of underground coal gasification
  • 1. Introduction
  • 2. Model description
  • 3. Model implementation and results
  • 4. Conclusions
  • References
  • An integrated unit commitment model incorporating electric vehicles as a flexible and responsive load
  • 1. Introduction
  • 2. Problem Statement
  • 3. Mathematical Formulation
  • 4. Case study
  • 5. Results
  • 6. Conclusions
  • Acknowledgements
  • References
  • Sustainable DME synthesis-design with CO2 utilization
  • 1. Introduction
  • 2. Process synthesis
  • 3. Process Design and Analysis
  • 4. Process Evaluation
  • 5. Conclusion
  • Reference
  • Ontology construction for multi-network models
  • 1. Background
  • 2. Network as the basis
  • 3. Mathematical representation
  • 4. Conclusions
  • Acknowledgements
  • References
  • Phenomena Based Process Intensification of Toluene Methylation for Sustainable Para-xylene Production
  • 1. Introduction
  • 2. Multi-stage Approach for Innovative Process Design
  • 3. Case Study
  • 4. Conclusion
  • References
  • Optimal Planning of Distributed Systems of Refineries and Biorefineries Considering Pollution Trading with Forest Plantations
  • 1. Introduction
  • 2. Problem Statement
  • 3. Model formulation
  • 4. Results
  • 5. Conclusions
  • References
  • Incremental Learning Fault Detection Algorithm Based on Hyperplane-Distance
  • 1. Introduction
  • 2. Methodology
  • 3. Case Study
  • 4. Conclusions
  • Acknowledgments
  • References
  • Optimal Features Selection for Designing a Fault Diagnosis System
  • 1. Introduction
  • 2. Methodology
  • 3. Case Study
  • 4. Results
  • 5. Conclusions
  • References
  • Reverse Design of Ionic Liquids for the Absorption of CO2
  • 1. Global Warming and CO2 Emission Reduction
  • 2. Ionic Liquids
  • 3. Reverse Design of Ionic Liquids
  • 4. Conclusions
  • 5. Acknowledgment
  • References
  • Conceptual Design of an Oil Shale Retorting Process Integrated with Chemical Looping for Hydrogen production
  • 1. Introduction
  • 2. Description of the novel OSR-CLH process
  • 3. Modelling and simulation of the OSR-CLH process
  • 4. Economic analysis of the OSR-CLH
  • 5. Conclusions
  • Acknowledgements
  • References
  • First Steps towards Online Optimal Control of Molecular Weight in Batch and Semi-batch FreeRadical Polymerization Reactors
  • 1. Introduction
  • 2. Process Modelling
  • 2. On-line Monitoring of Polymerization Reactions
  • 3. Estimation and dynamic Optimization
  • 4. Results and discussion
  • 5. Conclusions
  • Acknowledgments
  • References
  • Dynamic Simulation and Optimisation of an Industrial Process for Tributyl Citrate Production
  • 1. Introduction
  • 2. Process Modeling
  • 3. Results
  • 4. Conclusions
  • References
  • Mid-term Scheduling Model Based on State-TaskNetwork for Considering Plant Specific Constraints in Pharmaceutical Manufacturing
  • 1. Introduction
  • 2. Model and methods
  • 3. Case Study
  • 4. Results
  • 5. Conclusions
  • References
  • Optimal Operating Condition of Fluidized Bed Propellant Incinerator Considering Fluidization Effect and Reaction of the Particles
  • 1. Introduction
  • 2. Equations
  • 3. Simulation Conditions
  • Results and discussion
  • Conclusions
  • References
  • A Comprehensive Kinetic Investigation of the Ring Opening of L,L-Lactide in the Presence of Multifunctional Polyalcohols
  • 1. Introduction
  • 2. Kinetic mechanism
  • 3. The Monte Carlo method
  • 4. Simulation results
  • 5. Conclusions
  • References
  • Modelling and optimization of an activated sludge waste water treatment process
  • 1. Introduction
  • 2. Process Description and Modeling
  • 3. Control Strategies
  • 4. Simulation Results
  • 5. Conclusions
  • References
  • Set-valued integration of uncertain dynamic systems with sensitivity analysis capability
  • 1. Introduction
  • 2. Continuous-Time Set-Valued Integration of Parametric ODEs
  • 3. Adjoint-Sensitivity Approach to Bounding State-Dependent Functions
  • 4. Numerical Implementation and Case Studies
  • 5. Conclusions
  • References
  • Using PLS and NIR spectra to model the first breakage step of a grain milling process
  • 1. Introduction
  • 2. Material and methods
  • 3. Results and discussion
  • 4. Conclusions
  • References
  • Optimal design of water exchanges in eco-industrial parks through a game theory approach
  • 1. Introduction
  • 2. Methodology
  • 3. Multi-leader single-follower game approach
  • 4. Conclusions
  • References
  • Off-line optimisation and control of carbon capture operations
  • 1. Introduction
  • 2. Description of offline optimisation and control algorithm
  • 3. Techno-economic scenarios
  • 4. Result and discussion
  • 5. Conclusions
  • References
  • A new paradigm in process synthesis focus on design of power plants and industrial processes integrated with CO2 capture
  • 1. Introduction
  • 2. Process synthesis methodologies for CO2 capture applications
  • 3. A new paradigm for synthesis of CO2 capture processes
  • 4. Conclusion
  • 5. Acknowledgement
  • References
  • Enabling Sulfur-rich Coal Sources for Gasification without Emissions
  • 1. Introduction
  • 2. Coal gasification and syngas purification
  • 3. Novel Process
  • 4. Results and Discussions
  • 5. Conclusions
  • References
  • Automated process flowsheet synthesis formembrane processes using genetic algorithm: role of crossover operators
  • 1. Introduction
  • 2. Methodology
  • 3. Results
  • 4. Conclusion
  • Acknowledgement
  • References
  • Natural gas liquids (NGL) recovery in the liquefied natural gas production
  • 1. Introduction
  • 2. Process description
  • 3. Main assumptions and performance equations
  • 4. Results and discussion
  • 5. Conclusion
  • References
  • Part B
  • Front Cover
  • 26th European Symposium on Computer Aided Process Engineering: Part B
  • Copyright
  • Contents
  • Efficient simulation of heterogeneity and stochasticity in microbial processes
  • 1. Introduction
  • 2. Stochastic modelling of biochemical reaction systems
  • 3. Results
  • 4. Conclusion
  • 5. Acknowledgements
  • References
  • Ionic Liquids Role in Multifeedstock / Multiproduct Integrated Biorefineries
  • 1. Introduction
  • 2. Integrated biorefinery flowsheet
  • 3. Comparison of processes with and without ionic liquids
  • 4. Conclusions
  • References
  • Quantifying the importance of flow maldistribution in numbered-up microreactors
  • 1. Introduction
  • 2. Flow maldistribution
  • 3. Methodology
  • 4. Results
  • 5. Conclusions
  • 6. Acknowledgements
  • References
  • Modeling, Simulation, and Economic Evaluation of a Hybrid CO2 Capture Process for Oxidative Coupling of Methane
  • 1. Introduction
  • 2. Models and Methods
  • 3. Simulation and Optimization
  • 4. Results
  • 5. Conclusion and Outlook
  • 6. Acknowledgements
  • References
  • An Enhanced Group-Interaction Contribution Method for the Prediction of Normal Boiling and Critical points
  • 1. Introduction
  • 2. Development
  • 3. Results and discussion
  • 4. Conclusion
  • 5. References
  • Framework for optimization and scheduling of a copper production plant
  • 1. Introduction
  • 2. Process description
  • 3. Process modelling
  • 4. Optimization formulation
  • 5. Results
  • 6. Conclusions
  • References
  • Systematic, efficient and consistent LCA calculations for chemical and biochemical processes
  • 1. Introduction
  • 2. Calculation framework
  • 3. Case studies
  • 4. Conclusion
  • References
  • Modelling and optimization of compact subsea liquidliquid separation system
  • 1. Introduction
  • 2. Process description
  • 3. Models
  • 4. Results
  • 5. Conclusions
  • References
  • Optimization of an acrolein production process in a pilot-scale fixed-bed reactor
  • 1. Introduction
  • 2. Modeling of the reactor
  • 3. Simulation and preliminary discussion
  • 4. Optimization methods
  • 5. Optimization case studies and discussion
  • 6. Conclusion
  • References
  • Implementation of hybrid DEM-PBM approach to reduce the computational cost of powder mixing modeling
  • 1. Introduction and Motivation
  • 2. Model Development
  • 3. Results and Discussion
  • 4. Conclusions
  • References
  • Influence of mill characteristics on stability of continuous layering granulation with external product classification
  • 1. Introduction
  • 2. Experimental identification of the pin mill
  • 3. Dynamic model of the granulation process
  • 4. Results
  • 5. Discussion and Outlook
  • 6. Acknowledgments
  • References
  • Model Based Engineering of Process Plants using SysML
  • 1. Introduction
  • 2. MBSE of a Ehylbenzene plant
  • 3. SysML Model of the EB plant
  • 4. SysML model for Aspen simulation
  • 5. Conclusions
  • References
  • Modelling and simulation of a U-loop Reactor for Single Cell Protein Production
  • 1. Introduction
  • 2. Background
  • 3. Mass Conservation Equations
  • 4. Results and Discussion
  • 5. Conclusion
  • Acknowledgement
  • References
  • Global Optimization of Gasoline Blending Model using Bound Contraction Technique
  • 1. Introduction
  • 2. Model
  • 3. Global Optimization
  • 4. Example
  • 4. Conclusions
  • References
  • Fuzzy Control of a Distillation Column
  • 1. Introduction
  • 2. Process description
  • 3. PI control
  • 4. Fuzzy control
  • 5. Control system with auxiliary manipulated variable
  • 6. Conclusions
  • Acknowledgment
  • References
  • A Novel Approach to Include Limited Equipment Connectivity in State-Task Network Models
  • 1. Introduction
  • 2. State splitting
  • 3. Computational results
  • 4. Conclusions
  • References
  • Mechanistic Models for Process Development and Optimization of Fed-batch Fermentation Systems
  • 1. Introduction
  • 2. Nomenclature
  • 3. Materials and Methods
  • 4. Results
  • 5. Conclusions
  • Acknowledgements
  • References
  • Optimization of Lignocellulosic Waste Biorefinery using Multi-Actor Multi-Objective Mathematical Framework
  • 1. Introduction
  • 2. Process Description
  • 3. Mathematical model and optimization methodology
  • 4. Results and discussion
  • 5. Conclusions
  • References
  • Design and economic analysis of 1,2-propanediol derived from Crude glycerol
  • 1. Introduction
  • 3. Economic analysis
  • 4. Conclusions
  • Acknowledgement
  • References
  • Control of an Extractive Distillation Column with Thermal Integration
  • 1. Introduction
  • 2. Problem Definition
  • 3. Modeling and Simulation
  • 4. Control
  • 5. Conclusions
  • References
  • One-stage approach for the integrated design of ORC processes and working fluid using PC-SAFT
  • 1. Introduction
  • 2. One-stage approach for integrated design of process and working fluid
  • 3. Case study
  • 4. Conclusion
  • Acknowledgements
  • References
  • Optimization of Aeration Power in a SBR
  • 1. Introduction
  • 2. Reactor modelling
  • 3. Formulation of the optimization problem
  • 4. Results and discussion
  • 5. Conclusions
  • 6. References
  • Process and Economic Optimisation of a Milk Processing Plant with Solar Thermal Energy
  • 1. Introduction
  • 2. Methods
  • 3. Results
  • 4. Discussion
  • 5. Conclusion
  • References
  • An intelligent decision making and notification system based on a knowledge-enabled supervisory monitoring platform
  • 1. Introduction
  • 2. Knowledge-enabled Supervisory Monitoring Platform - From the Automation System to the Data Repository
  • 3. Common Information Data Exchange Model
  • 4. CERTH's Use Case - Synthesis Gas Pilot Plant
  • 5. Conclusions
  • Acknowledgment
  • References
  • Integrated design and operation assessment of an embedded supervisory automation framework for a hybrid hydrogen-enabled power g
  • 1. Introduction
  • 2. Description of the Hybrid Hydrogen-enabled Battery Charging station
  • 3. Development of a Supervisory Automation Framework
  • 4. Operation results
  • 5. Conclusions
  • References
  • Design and Comparison of Optimal Reactor Concepts for the Hydroformylation of Olefins by Use of a Probabilistic Design Framework
  • 1. Introduction
  • 2. Methodical Background
  • 3. Process and Optimization Fundamentals
  • 4. Results of Optimization under Uncertainties
  • 5. Conclusion and Outlook
  • 6. Acknowledgement
  • References
  • Wastewater Quality Impact on Water Management in Shale Gas Supply Chain
  • 1. Introduction
  • 2. Shale gas supply chain optimization: Problem statement
  • 3. Case studies
  • 4. Conclusions
  • Acknowledgements
  • References
  • Imputation of Missing Data with Ordinary Kriging for Enhancing Fault Detection and Diagnosis
  • 1. Introduction
  • 2. Techniques
  • 3. Problem statement and methodology
  • 4. Case Study
  • 5. Results and discussion
  • 3. Conclusions
  • References
  • Economically optimal multi-actor processing networks: material flows and price assignment of the intermediates using Lagrangian
  • 1. Introduction
  • 2. Problem Statement
  • 3. Solution approach
  • 4. Illustrative numerical example
  • 5. Conclusions
  • 6. Acknowledgements
  • References
  • Population Balance Applied to Microalgae Growth
  • 1.Introduction
  • 2.Population balances
  • 3.Case studies
  • 4.Conclusions
  • References
  • Ammonia supply chains: A new framework for renewable generation with a case study for Minnesota
  • 1. Introduction
  • 2. Problem Formulation
  • 3. Results
  • 4. Conclusions
  • 5. Acknowledgements
  • References
  • Analysis of Operational Heat Exchanger Network Robustness via Interval Arithmetic
  • 1. Introduction
  • 2. A brief review on robustness and flexibility analysis of Heat Exchanger Networks
  • 3. Problem statement and principles
  • 4. The Interval Arithmetic approach
  • 5. HEN modelling
  • 6. Example
  • 7. Conclusions
  • Acknowledgment
  • References
  • Effect of Solvent Feeding Time on the Start-up Operation of an Extractive Distillation Column
  • 1. Introduction
  • 2. Problem statement
  • 3. Start-up polices
  • 4. Simulations results
  • 5. Conclusions
  • References
  • Geometry optimization of a fibrous scaffold based on mathematical modelling and CFD simulation of a dynamic cell culture
  • 1. Introduction
  • 2. Mathematical model
  • Optimization methodology
  • 4. Results and discussion
  • 5. Conclusions
  • References
  • Synthesis of preliminary system designs for offshore oil and gas production
  • 1. Introduction
  • 2. Methods
  • 3. Results and discussion
  • 4. Conclusion
  • References
  • Sugar extraction by moving-bed diffusers inethanol production: development of a simulation tool
  • 1. Introduction
  • 2. Methodology
  • 3. Moving-bed diffuser simulator
  • 4. Simulator performance: Case study
  • 5. Conclusions
  • Acknowledgments
  • References
  • Optimal Design of an Integrated Radiant Syngas Cooler and Steam Methane Reformer using NLP and Meta-heuristic Algorithms
  • 1. Introduction
  • 2. Methodology
  • 3. Results and discussion
  • 4. Conclusion
  • References
  • A Systematic Framework for the Design and Implementation of Sensing and Control Architecture for a Continuous Pharmaceutical Manufacturing Plant
  • 1. Introduction
  • 2. Continuous direct compaction pharmaceutical manufacturing process
  • 3. Systematic framework including novel methods and tools
  • 4. Results and discussions
  • 5. Conclusions
  • Acknowledgements
  • References
  • Conceptual process design for Boric Acid: A casestudy for engineering education
  • 1. Introduction
  • 2. Case study
  • 3. Discussion and Conclusions
  • Acknowledgements
  • References
  • Global Sensitivity Analysis of Reverse Osmosis Processes
  • 1. Introduction
  • 2. Background
  • 3. Results
  • 4. Conclusions
  • References
  • Synthesis of Heat Exchanger Networks and Utility Systems: sequential initialization procedure and simultaneous MINLP algorithm
  • 1. Introduction
  • 2. Superstructure and mathematical model
  • 3. Two-stage algorithm and initialization
  • 4. Test case
  • 5. Conclusions
  • References
  • Mathematical Modelling-based Energy System Operation Strategy considering Energy Storage Systems
  • 1. Introduction
  • 2. Motivation & Literature Review
  • 3. An Operational Model of an Energy System with ESS
  • 4. Results and Discussions
  • 5. Conclusions
  • Acknowledgement
  • References
  • Mineral Concentration Plants Design Using Rigorous Models
  • 1. Introduction
  • 2. Case study
  • 3. Methodology
  • 4. Results
  • 5. Conclusions
  • Acknowledgments
  • References
  • MO-MCS: An Efficient Multi-objective Optimization Algorithm for the Optimization of Temperature/Pressure Swing Adsorption Cycles
  • 1. Introduction
  • 2. Optimization of Temperature Swing Adsorption Cycles
  • 3. MO-MCS Algorithm
  • 4. Results
  • 5. Conclusions
  • References
  • A Systematic Framework for the Design and Implementation of Sensing and Control Architecture for a Continuous Pharmaceutical Manufacturing Plant
  • 1. Introduction
  • 2. Continuous direct compaction pharmaceutical manufacturing process
  • 3. Systematic framework including novel methods and tools
  • 4. Results and discussions
  • 5. Conclusions
  • Acknowledgements
  • References
  • Equation-based Rigorous Modelling of the NOx Absorption Process: Model Development and Process Optimization
  • 1. Introduction
  • 2. Rigorous rate-based model
  • 3. Simulation results
  • 4. Conclusions
  • Acknowledgments
  • Nomenclature
  • References
  • Moving-horizon State Estimation with Gross Error Detection for a Hydroformylation Mini-plant
  • 1. Introduction
  • 2. Theoretical Background
  • 3. Case Studies
  • 4. Conclusions and Outlook
  • Acknowledgements:
  • References
  • Residential Microgrid Design Optimisation under Uncertain µ CHP Characteristics
  • 1. Introduction
  • 2. Methodology
  • 3. Results and discussion
  • 4. Conclusion
  • 5. Acknowledgements
  • References
  • Multi-Objective Optimisation in a Petrochemical Complex with LCA considerations
  • 1. Introduction
  • 2. Process description
  • 3. Methodology
  • 4. Numerical Results and Discussion
  • 5. Conclusions
  • References
  • NLP optimization for the design of sustainable wastewater treatment networks
  • 1. Introduction
  • 2. Methodology
  • 3. Problem definition and mathematical formulation
  • 4. Results and discussion
  • 5. Conclusion and future work
  • Acknowledgments
  • References
  • Design of sustainable municipal wastewater treatment plants
  • 1. Introduction
  • 2. Methodology
  • 3. Description of the superstructure
  • 4. Definition of the objective function
  • 5. Model and constraints definition
  • 6. Results and discussion
  • 7. Conclusion and future work
  • Acknowledgments
  • References
  • Multi-objective optimization for the biotechnological conversion of lingocellulosic biomass to value-added products
  • 1. Introduction
  • 2. Methodology
  • 3. Description of the superstructure
  • 4. Definition of the multi-objective function
  • 5. Model and determination of constraints
  • 6. Results and discussion
  • 7. Conclusion
  • References
  • Closed-Loop Identification of Nonlinear Hammerstein Model Based on Subspace Approach
  • 1. Introduction
  • 2. Estimation of Subspace Matrices for Linear Systems
  • 3. Identification of Hammerstein Systems
  • 4. Illustrative Examples
  • 5. Conclusions
  • References
  • Development of a Neural Network-based Renewable Energy Forecasting Framework for Process Industries
  • 1. Introduction
  • 2. Brief Literature Surve
  • 3. Proposed Neural Network based Forecasting Framework
  • 4. Case Study
  • 5. Conclusions
  • References
  • Development of a model for identifying the optimal biogas system design in Sub-Saharan Africa
  • 1. Introduction
  • 2. Model inputs
  • 3. Determining the optimal biogas system design
  • 4. Conclusion
  • References
  • Dynamic Optimization of Desalination System Designs using Aspen Custom Modeler
  • 1. Introduction
  • 2. Superstructure Development
  • 3. Process Model
  • 4. Optimization Problem Formulation and Case Study
  • 5. Results and Discussion
  • 6. Conclusions
  • References
  • Selection of an Energetically More Feasible Route for Hydrocarbon Extraction from Microalgae . Milking of B. braunii as a Case Study
  • 1. Introduction
  • 2. Dewatering and harvesting of microalgae for the milking process
  • 3. Process modelling and optimization
  • 4. Results and discussion
  • 5. Conclusions
  • References
  • Structure optimization of power-to-chemicals (P2C) networks by linear programming for the economic utilization of renewable surplus energy
  • 1. Introduction
  • 2. Model Description
  • 3. Results
  • 4. Conclusion
  • References
  • Comparison between Experimental and Simulated Data of a Distillation Column: Evaluation of Mass- Heat Balances and Trays Efficiency
  • 1. Introduction
  • 2. Experimental
  • 3. Experimental results
  • 4. Data elaboration by classical equations
  • 5. Computer Simulation Interpretation
  • 6. Conclusiions
  • References
  • Using Dynamic Simulation for Risk Assessment: Application to an Exothermic Reaction
  • 1. Introduction
  • 2. Methodology
  • 3. Case Study
  • 4. Risk assessment
  • 5. Results
  • 6. Conclusion and perspectives
  • References
  • Robust Optimization for Petroleum Supply Chain Collaborative Design and Planning
  • 1. Introduction
  • 2. Problem Description
  • 3. Robust Optimization
  • 4. The Portuguese PSC real case
  • 5. Conclusions
  • References
  • Managing Uncertainty Information for Improved Data-Driven Modelling
  • 1. Introduction
  • 2. Measurement uncertainty heteroscedastic models
  • 3. Integration of measurement uncertainty in model development
  • 4. Conclusions
  • References
  • A Predictive Model for Energy Metabolism and ATP Balance in Mammalian Cells: Towards the Energy-Based Optimization of mAb Production
  • 1. Introduction
  • 2. Methodology
  • 3. Mathematical Model Development
  • 4. Model Analysis
  • 5. Results and Discussion
  • 6. Conclusions
  • References
  • Prediction of the Solubility in Supercritical Carbon Dioxide: a Hybrid Thermodynamic/QSPR Approach
  • 1. Introduction
  • 2. Database
  • 3. Hybrid thermodynamic/QSPR approach
  • 4. Conclusions
  • References
  • Distributed minimum batch time optimization for batch reactors with shared resources
  • 1. Introduction
  • 2. Price based decomposition
  • 3. Problem formulation
  • 4. Case study
  • 5. Results
  • 6. Conclusion
  • References
  • Optimal Start-Up and Operation Policy for an Ultrafiltration Membrane Unit in Whey Separation
  • 1. Introduction
  • 2. Optimal Scheduling of Membrane Stacks
  • 3. Case Study
  • 4. Conclusions
  • References
  • Convergence Order of McCormick Relaxations of LMTD function in Heat Exchanger Networks
  • 1. Introduction
  • 2. Background
  • 3. Application and resulting convergence orders
  • 4. Conclusions and future work
  • References
  • A new approach for pharmacokinetic model application towards personalized medicine
  • 1. Introduction
  • 2. Methods
  • 3. Results
  • 4. Discussion and Conclusions
  • References
  • Structural and economic analysis of Industrial Symbiosis networks: a hybrid approach to assess investment opportunities
  • 1. Introduction
  • 2. Methodology
  • 3. Results & Discussion
  • 4. Conclusions
  • 5. References
  • Modelling Reaction-Diffusion Dynamics in Microsystems
  • 1. Introduction
  • 2. Method
  • 3. Results and Discussion
  • 4. Conclusion
  • 5. Acknowledgements
  • References
  • An extended comparison study of large scale data-driven prediction methods based on variable selection, latent variables, penalized regression and machine learning
  • 1. Introduction
  • 2. Regression Methods
  • 3. Comparison Framework
  • 4. Case Studies
  • 5. Conclusions
  • References
  • Evaluation of the production of lipids for fuels and proteins from microalgae by decomposition of the processing network
  • 1. Introduction
  • 2. Process description
  • 3. Modelling and solution approach
  • 4. Results
  • 5. Conclusions
  • Acknowledgments
  • References
  • Integrating Uncertainty into Urban Energy System Design
  • 1. Introduction
  • 2. Applications in the Field of Urban Energy System Design
  • 3. Model Definition
  • 4. Sensitivity Analysis
  • 5. Methodology Robust Optimization
  • 6. Results of simulated robust Optimization
  • 7. Conclusion
  • References
  • Energy Supply Chain optimisation for capacity and investment planning
  • 1. Introduction
  • 2. Problem description
  • 3. Mathematical Model Formulation
  • 4. Case studies
  • 5. Conclusions
  • References
  • Optimal design of a styrene monomer plant under market volatility
  • 1. Introduction
  • 2. Optimization algorithm
  • 3. Econometric models
  • 4. Discussion and conclusions
  • References
  • Development of advanced computational tools for the intensification of monoclonal antibody production
  • 1. Introduction
  • 2. The GS-NS0 cell culture system
  • 3. Application of the PAROC framework/software platform for the controller development of the cell culture system
  • 4. Conclusions
  • References
  • Computational tools for the advanced control of periodic processes - Application to a chromatographic separation
  • 1. Introduction
  • 2. The Periodic Process
  • 3. The PAROC Framework and Software Platform . applied to MCSGP
  • 4. Conclusions
  • 5. Acknowledgements
  • References
  • Simulation, Optimization and Control of Heavy Oil Upgrading Processes: Application to a Delayed Coking Unit
  • 1. Introduction
  • 2. Feedstock characterization
  • 3. Process description
  • 4. Process simulation
  • 5. Conclusions
  • Acknowledgements
  • References
  • Optimization of Batch Extractive Distillation with Off-cut Recycle and Varying Feed Composition
  • 1. Introduction
  • 2. The separation process
  • 3. Optimization method
  • 4. Results
  • 5. Conclusions
  • References
  • Solvent Design for Post Combustion Chemical Absorption Process
  • 1. Introduction
  • 2. Methodology
  • 3. Results and discussion
  • 4. Conclusions
  • References
  • Material Flow Analysis (MFA) and Life Cycle Assessment (LCA) Study for Sustainable Management of PVC Wastes in Thailand
  • 1. Introduction
  • 2. Materials and method
  • 3. Material flow analysis results
  • 4. PVC waste management scenarios
  • 5. Life cycle assessment (LCA)
  • 6. Conclusions
  • Acknowledgement
  • References
  • Material Flow Analysis and Life Cycle Assessment Study for Sustainable Management of Wastes of Metropolitan Electricity Authority (MEA)
  • 1. Introduction
  • 2. Methodology
  • 3. Result and Discussion
  • Acknowledgement
  • References
  • Heat Exchanger Network Design with Fouling Effects
  • 1. Introduction
  • 2. Fouling mitigation strategies
  • 3. Mathematical formulation
  • 4. Examples
  • 5. Conclusions
  • Acknowledgements
  • References
  • Simulation/Optimization of carbon dioxide capture plant: A case study of AGRU from Thailand
  • 1. Introduction
  • 2. Methodology
  • 3. Conclusions
  • Acknowledgement
  • References
  • Biodiesel from Sunflower Oil: Development of Process Model via Lab scale Experiment and Optimisation
  • 1. Introduction
  • 2. Chemistry of the reaction
  • 3. Mathematical model and optimization
  • 4. Laboratory Experiment
  • 5. Results and discussion
  • 6. Conclusions
  • References
  • Study of thermal efficiency in heavy oil reservoirs submitted to steam injection by using numerical simulation
  • 1. Introduction
  • 2. Methodology
  • 3. Results and Discussion
  • 4. Conclusion
  • 5. Acknowledgements
  • References
  • Application of a Multiple Time-Scale Rolling Horizon Optimization Technique for Improved Load-Following of an Integrated SOFC/CAES Plant with Zero Emissions
  • 1. Introduction and Motivation
  • 2. Optimization Problem and Model Formulation
  • 3. Optimization Algorithm and Calculation Methods
  • 4. Simulation Results and Discussion
  • 5. Conclusions
  • References
  • A Microalgae-based Biorefinery Plant for the Production of Valuable Biochemicals: Design and Economics
  • 1. Introduction
  • 2. Methodology
  • 3. Results and Discussion
  • 4. Conclusions
  • Acknowledgements
  • References
  • Modeling and Simulation of Diffusion Process in Tissue Spheroids Encaged into Microscaffolds (Lockyballs)
  • 1. Introduction
  • 2. Idealized geometries and simulations
  • 3. Results and discussions
  • 4. Conclusions
  • 5. Acknowledgments
  • 6. References
  • Analysis of the intermittency of the steam alternating solvent process (SAS) applied to a heavy oil reservoir
  • 1. Introduction
  • 2. Process Modelling
  • 3. Results and Discussion
  • 4. Conclusions
  • Acknowledgements
  • References
  • Optimisation of Maintenance Planning into the Production of Biopharmaceuticals with Performance Decay using a Continuous-time Formulation
  • 1. Introduction
  • 2. Problem statement
  • 3. Mathematical model
  • 4. Illustrative example
  • 5. Conclusions
  • Acknowledgements
  • References
  • A Systematic Approach for the Hydrotreating of Biodiesel and Petroleum-Diesel Blends
  • 1. Introduction
  • 2. The HDO-HDS reactive system
  • 3. The systematic approach. Thermodynamic analysis
  • 4. Simulation of the HDO-HDS Reactive Distillation Process
  • 5. Results and discussion
  • 6. Conclusions
  • References
  • Optimal Power Sharing Control in Networked Fuel Cell Stacks
  • 1. Introduction
  • 2. Problem Statement
  • 3. Algorithm for Optimal Power Sharing
  • 4. Model Updater
  • 5. Results and Discussion
  • 6. Conclusions
  • References
  • Appropriate placement of compressors and expanders in sub-ambient processes
  • 1. Introduction
  • 2. Problem statement
  • 3. Theorems
  • 4. Design procedure
  • 5. Example
  • 6. Conclusions
  • References
  • Bayesian treed Gaussian process method for process monitoring
  • 1. Introduction
  • 2. Methodology
  • 3. Case study
  • 4. Conclusions
  • Acknowledgements
  • References
  • Computational Experiments on Sampling Methods for Uncertainty Propagation and the Implications for Simulation-Based Optimization
  • 1. Introduction
  • 2. Evaluated sampling methods
  • 3. Computational experiments with challenge functions
  • 4. Biomass-to-commodity-chemicals (BTCC) investment planning problem
  • 5. Conclusions
  • References
  • Techno-Economic Evaluation of an Oxidative Coupling of Methane Process at Industrial Scale Production
  • 1. Introduction
  • 2. Process Description
  • 3. Results and Discussions
  • 4. Conclusions
  • References
  • Minimum Reflux of Complex Distillation Columns: Adiabatic Flash Method on Enthalpy-Composition Diagram
  • 1. Introduction
  • 2. Methodology
  • 3. Results
  • 4. Conclusions
  • References
  • Design and Evaluation of a High-Density Energy Storage Route with CO2 Re-Use, Water Electrolysis and Methanol Synthesis
  • 1. Introduction
  • 2. Model description
  • 3. Results
  • 4. Conclusions and perspectives
  • References
  • Impact of protein co-production on technoeconomic feasibility of microalgal biodiesel
  • 1. Introduction
  • 2. Integrated biorefinery
  • 3. Model description
  • 4. Results and discussions
  • 5. Conclusions
  • References
  • Heat Exchanger Network Synthesis using a Genetic Algorithms-Particle Swarm Optimization Hybrid Method and Parallel Processing
  • 1. Introduction
  • 2. Development
  • 3. Case Studies
  • References
  • FI2EPI . A freeware tool for performing Heat Integration based on Pinch Analysis
  • 1. Introduction
  • 2. The Flow Diagram . Data extraction and .Tmin definition
  • 3. Targeting
  • 4. MER Network
  • 5. Conclusions
  • Acknowledgements
  • References
  • A Supercritical Reactive Separation Process to Obtain Biopesticides (phorbol-esters) in the Biodiesel Production from Jatropha curcas Oil
  • 1. Introduction
  • 2. The pure component properties of the Jatropha Curcas oil
  • 3. The Thermodynamic Modelling
  • 4. The integrated supercritical extraction - reactive distillation process
  • 5. Conclusions
  • References
  • Simultaneous Optimization and Integration of Gas Turbine and Air Separation Unit Using Novel Simplified Model
  • 1. Introduction
  • 2. Process Description
  • 3. Novel Simplified ASU Model
  • 4. Modelling of Gas Turbine
  • 5. Simultaneous Optimization and Integration Methodology
  • 6. Case Study
  • 7. Conclusion
  • Acknowledgment
  • References
  • Optimization of Preventive Maintenance Program for Imaging Equipment in Hospitals
  • 1. Introduction
  • 2. Methodology
  • 3. Results
  • 4. Conclusions
  • References
  • A Mixed Integer Programming Model for Sustainable Water Management in Macroscopic Systems
  • 1. Introduction
  • 2. Problem Statement
  • 3. Mathematical Model
  • 4. Illustrative example
  • 5. Results and discussion
  • 6. Conclusions
  • References
  • Process and Heat Integrated Design of a Novel NGL Recovery Scheme
  • 1. Introduction
  • 2. Process Description
  • 3. Simulation basis and product specifications
  • 4. Distillation column design conditions in all NGL recovery schemes
  • 5. Comparison of proposed NGL scheme with commercial processes
  • 6. Conclusions
  • References
  • Computational Workflow Management in the context of Model-Based Design of Experiments
  • 1. Background
  • 2. Model-based design of experiments framework
  • 3. Automatising workflow execution using FireWorks
  • 4. Case-study
  • 5. Discussion and Conclusion
  • Acknowledgements
  • References
  • On the reduction of the overestimation in verified simulation by model reformulation
  • 1. Introduction
  • 2. Problem formulation
  • 3. Verified simulation method
  • 4. Model reformulation
  • 5. Results - A methanol to hydrocarbons process
  • 6. Conclusions
  • 7. Acknowledgements
  • References
  • Improving the wastewater treatment plant performance through model predictive control strategies
  • 1. Introduction
  • 2. Benchmark simulation model No. 1
  • 3. Control strategy
  • 4. Process identification
  • 5. Results and discussion
  • 6. Conclusion
  • References
  • Heat exchanger network design with multi-stream exchangers using stage-wise superstructure
  • 1. Introduction
  • 2. Overall design methodology of multi-stream plate-fin heat exchanger
  • 3. Result and discussion
  • 4. Conclusions
  • Nomenclature
  • Acknowledgements
  • References
  • Synthesis of Mass Exchange Networks Using Mathematical Programming and Detailed Cost functions
  • 1. Introduction
  • 2. Methodology
  • 3. Example
  • 4. Conclusion
  • Acknowledgement
  • References
  • Bifurcation analysis of process stability of continuous fluidized bed agglomeration with external product classification
  • 1. Introduction
  • 2. Process modelling
  • 3. Numerical methods
  • 3. Numerical methods
  • 4. Simulation results
  • 5. Concluding remarks
  • 6. Acknowledgements
  • References
  • Improving proton exchange membrane efficiency of fuel cell by numerical simulation and optimization
  • 1. Introduction
  • 2. Mathematical models
  • 3. Result and discussion
  • 4. Conclusions
  • Nomenclature
  • Acknowledgements
  • References
  • Screening methodology for biorefineryand power to chemicals concepts
  • 1. Introduction
  • 2. Methodology: thermodynamic analysis applied to biorefineries
  • 3. Results and discussion
  • 4. Conclusions
  • References
  • Strategic Energy Planning under Uncertainty: a Mixed- Integer Linear Programming Modeling Framework for Large-Scale Energy Systems
  • 1. Introduction
  • 2. MILP model formulation
  • 3. Global Sensitivity Analysis
  • 4. Conclusions
  • References
  • Condition-based chemical cleaning of crude oil deposits . a conceptual model
  • 1. Introduction
  • 2. Mathematical model of chemical cleaning
  • 3. Case study
  • 4. Results and discussion
  • 5. Conclusions
  • Acknowledgements
  • References
  • Model-based monitoring of thermal-hydraulic performance of refinery heat exchangers undergoing fouling
  • 1. Introduction
  • 2. Modelling framework
  • 3. Case Study
  • 4. TH Plot for Monitoring Heat Exchanger Performance
  • 5. Normalized TH-. for Fouling Monitoring and Diagnosis
  • 6. Conclusions
  • Acknowledgements
  • References
  • Distillation Energy Assessment for Solvent Recovery from Carbon Dioxide Absorption
  • 1. Introduction
  • 2. Method
  • 3. Results
  • 4. Conclusions
  • References
  • Enhanced Distillation Based on Feed Impurities
  • 1. Introduction
  • 2. Method
  • 3. Conclusions
  • References
  • Hybrid MILP/Simulation/Heuristic Algorithms to Complex Hoist Scheduling Problems
  • 1. Introduction
  • 2. General MILP Model
  • 3. MILP/Heuristic-based Algorithms
  • 4. Industrial Application Example
  • 5. Conclusions
  • References
  • Online Approach for Diagnosis and Rectification of Model.Plant Mismatch in Open Reaction Systems using Incremental Framework
  • 1. Introduction
  • 2. Problem Formulation
  • 3. Incremental Fault Diagnosis and Rectification Framework
  • 5. Conclusion
  • References
  • PiXAR : Pinch and eXergy for the Analysis and Retrofit design of industrial processes
  • 1. Introduction and background
  • 2. PiXAR Methodology
  • 3. Case Studies
  • 4. Conclusions
  • 5. Acknowledgement
  • References
  • Integrated modeling of agricultural and industrial processes within life cycle design for environment
  • 1. Introduction
  • 2. Integrated Modeling of Agricultural and Industrial Processes
  • 3. Case study
  • 4. Conclusions
  • Acknowledgements
  • References
  • Application of a simultaneous approach for process scheduling and water minimisation in batch plants
  • 1. Introduction
  • 2. Problem statement
  • 3. Model formulation
  • 4. Case study: Water minimisation in PVC manufacturing
  • 5. Conclusion
  • References
  • A computer-aided scenario analysis of national and regional energy systems based on feasible technology options
  • 1. Introduction
  • 2. Materials and method
  • 3. Case study
  • 4. Conclusions
  • Acknowledgements
  • References
  • Calculation of the Optimal Distribution of the Active Metal Site Concentration in a Ziegler-Natta Catalyst to Maximize Polymer Yield in Olefin Polymerizations
  • 1. Introduction
  • 2. The Single Particle Growth Model
  • 3. Optimization of Active Metal Sites Spatial Distribution
  • 4. Conclusions
  • References
  • SolACE: An Open Source Package for Nolinear Model Predictive Control and State Estimation for (Bio)Chemical Processes
  • 1. Introduction
  • 2. SolACE Framework
  • 3. Case Study: Van de Vusse Reactor
  • 4. Conclusions
  • References
  • Global optimization of nonconvex bilevel problems: implementation and computational study of the Branch-and-Sandwich algorithm
  • 1. Introduction
  • 2. Basic concepts and notation
  • 3. Node selection and branching heuristics
  • 4. Implementation and numerical results
  • 5. Conclusions
  • References
  • A Novel Experimental Strategy for Validating Human Failure Probabilities in Risk Assessment
  • 1. Introduction
  • 2. Proposed approach
  • 3. Case study: Ethanol plant
  • 4. Results
  • 5. Conclusions
  • References
  • Life cycle modelling of a handicraft sector: the anchovy canning industry in Cantabria (Northern Spain)
  • 1. Introduction
  • 2. Methodology
  • 3. Case study: anchovy canning industry
  • 4. Results
  • 5. Conclusions
  • Acknowledgements
  • References
  • A New Technology to Optimize the Use of H2S Scavengers in the Crude Oil Production
  • 1. Introduction
  • 2. Mathematical Model
  • 3. The H2S Scavenging Simulator
  • 4. Conclusions
  • References
  • Integrated Biorefinery Scheme Design for the Coproduction of Premium Quality Liquid Fuels and Propylene
  • 1. Introduction
  • 2. Overall superstructure
  • 3. Mixed integer nonlinear programing model
  • 4. Case studies
  • 5. Conclusions
  • 6. Acknowledgments
  • References
  • Modelling of a Post-combustion CO2 Capture Process Using Bootstrap Aggregated Extreme Learning Machines
  • 1. Introduction
  • 2. Bootstrap aggregated extreme learning machine
  • 3. Modelling of CO2 capture process
  • 4. Conclusions
  • Acknowledgement
  • References
  • Development of semantically-enabled community hubs in biorefineries and biorenewables
  • 1. Introduction
  • 2. Development of a repository for biorefineries based on semantics
  • 3. Design of services
  • 4. State of play
  • 5. Conclusions
  • References
  • Framework for assessing social sustainability in supply chains
  • 1. Introduction
  • 2. Methodology
  • 3. Framework
  • 4 Results and discussion
  • 5. Conclusions
  • Acknowledgements
  • References
  • A Comparative Study of Fischer-Tropsch Synthesis for Liquid Transportation Fuels Production from Biomass
  • 1. Introduction
  • 2. FTS biomass conversion process
  • 3. Biomass conversion process design and modelling
  • 4. Results and discussions
  • 5. Conclusions and future work
  • 6. Acknowledgments
  • References
  • Practical Implementation of a RTO in an Industrial-Scale Vapor Recompression Distillation Process
  • 1. Introduction
  • 2. Process Description and Model
  • 3. Steady-State Identification
  • 4. Data Reconciliation and Parameter Estimation
  • 5. Economic Optimization
  • 6. Results and Discussion
  • 7. Conclusions
  • References
  • Integrated multi-level bioenergy supply chain modelling applied to sugarcane biorefineries in South Africa
  • 1. Introduction
  • 2. Methodology
  • 3. Case study: biorefinery supply chain in South Africa
  • 4. Conclusions
  • References
  • Cognitive Engineering for Process Safety: Effective Training for Process Operators Using Eye Gaze Patterns
  • 1. Introduction
  • 2. Literature Review
  • 3. Experimental setup and methodology
  • 4. Results and Discussion
  • 5. Conclusions
  • References
  • Relating Reaction Rate Constant to Structures of Reactants and Solvent Using a Hybrid GA-DT Approach
  • 1. Introduction
  • 2. Methodology
  • 3. Results and Discussion
  • 4. Conclusions
  • 5. Acknowledgments
  • References
  • Multi-Objective Computer-Aided Molecular Design of Reactants and Products
  • 1. Background
  • 2. Molecular Design of Reactants and Products
  • 3. Case Study
  • 4. Conclusions
  • References
  • Non-intrusive Appliance Load Monitoring for Electrical Energy Systems Simulation and Analysis . A case study in India
  • 1. Introduction
  • 2. Non-intrusive Appliance Load Monitoring
  • 3. Proposed Method
  • 4. Experimental Results
  • 5. Conclusions
  • References
  • Multi-Period Heat Exchanger Network Synthesis Involving Multiple Sources of Utilities and Environmental Impact
  • 1. Introduction
  • 2. Problem statement
  • 3. Methodology
  • 4. Example
  • 5. Conclusion
  • Acknowledgement
  • References
  • A New Methodology to Apply Total Site Analysis as a Synthesis Tool to Select and Integrate Processes in Multiple-Product Biorefinery Plants
  • 1. Introduction
  • 2. Methodology
  • 3. Mathematical Formulation
  • 4. Case study
  • 5. Conclusions
  • Acknowledgments
  • References
  • Discovering Valorisation Paths in Waste Biorefineries using an Ontology Engineering Approach
  • 1. Introduction
  • 2. Problem Description and Methodology Overview
  • 3. Illustration
  • 4. Conclusions
  • Acknowledgements
  • References
  • Integration of Biomass Gasification and CO2 Capture in the LCA Model for the Energy, Water and Food Nexus
  • 1. Introduction
  • 2. The EWF Nexus
  • 3. Methodology
  • 4. The development of the EWF Nexus LCI model
  • 5. Assessment of the Qatar's EWF Nexus
  • References
  • Sensor Fault Detection and Fault Tolerant Control of a Crude Distillation Unit
  • 1. Introduction
  • 2. Fault monitoring and soft sensor
  • 3. Crude distillation unit simulation
  • 4. Sensor fault detection and fault tolerant control
  • 5. Results and discussions
  • 6. Conclusions
  • Acknowledgement
  • References
  • Utilising Semantics for Improved Decision Making in Bio-refinery Value Chains
  • 1. Introduction
  • 2. Using semantics for optimisation
  • 3. Structure of domain ontology
  • 4. Biomass characterisation and classification
  • 5. Optimisation problem
  • 6. Linking knowledge modelling and optimisation
  • 7. Case study
  • 8. Conclusions and future work
  • References
  • MINLP Wastewater Stabilisation Ponds Synthesis using Rigorous Models under Different Scenarios
  • 1. Introduction
  • 2. Mathematical model
  • 3. Numerical Results
  • Conclusions
  • Acknowledgements
  • References
  • Process simulation integrated with experimental Thermodynamics Lab to Chem. Eng. undergraduate students
  • 1. Introduction
  • 2. Framework
  • 3. Case Study
  • 4. Conclusions
  • References
  • Evaluation of a calcium looping CO2 capture plant retrofit to a coal-fired power plant
  • 1. Introduction
  • 2. Calcium looping model development
  • 3. Process integration
  • 4. Sensitivity analysis
  • 5. Comparison with chemical solvent scrubbing
  • 6. Conclusions
  • References
  • Constrained Smoothing of Experimental Data in the Identification of Kinetic Models
  • 1. Introduction
  • 2. Rate estimation using regularization methods
  • 3. Continuous approximation of the concentration data
  • 4. Case studies
  • 5. Final remarks
  • References
  • Optimal Design of Industrial Waste-to-Energy Networks
  • 1. Introduction
  • 2. Problem description
  • 3. Methodology
  • 4. Results and discussion
  • 5. Conclusions and outlook
  • References
  • Modelling of Starch Production by Microalgal Biomass under Multi-nutrient Limitation
  • 1. Introduction
  • 2. Materials and Methods
  • 3. Model development
  • 4. Results and discussion
  • 5. Conclusions
  • References
  • Water and Energy. Why Not Optimize Them simultaneously?
  • 1. Introduction
  • 2. Optimization Model and Solution Approach
  • 3. Description of the case studies
  • 4. Results
  • 5. CONCLUSIONS
  • Reference
  • Experimental Studies and Model Based Optimisation of Microalgal Production of Fuels and Chemicals
  • 1. Introduction
  • 2. Materials and Methods
  • 3. Model Equations
  • 4. Results and Discussion
  • 5. Conclusions
  • References
  • Model analysis and optimization under uncertainty using highly efficient integration techniques
  • 1. Introduction
  • 2. Construction of thinned cubatures
  • 3. Model analysis and optimization under uncertainty
  • 4. Examples
  • 5. Conclusions
  • References
  • Unit Commitment Scheduling Including Transmission Constraints: a MILP Formulation
  • 1. Introduction
  • 2. SCUC Formulation
  • 3. Transmission Line Method applied to Solving SCUC Problem
  • 4. Numerical Test
  • 5. Conclusions
  • References
  • Optimization of a crude oil distillation unit based on total-process simulation
  • 1. Introduction
  • 2. Real plant process description, simulation and analysis
  • 3. Retrofits and optimization strategy for the real plants
  • 4. Conclusions
  • References
  • Capacity Planning with Rational Markets and Demand Uncertainty
  • 1. Introduction
  • 2. Problem Statement
  • 3. Formulation
  • 4. Single-level reformulation using strong duality
  • 5. Illustrative Example
  • 6. Conclusions
  • References
  • Quality Education in Romanian Chemical Engineering Higher Education
  • 1. Introduction
  • 2. Requirements for improving chemical engineering education quality
  • 3. Strategies for improving chemical engineering education quality
  • 4. Conclusions
  • Acknowledgement
  • References
  • A Study on the Endogenous Symbiosis of First and Second Generation Biorefineries: Towards a Systematic Methodology
  • 1. Introduction
  • 2. Methodology for mixed retrofit - grassroots designs
  • 3. Endogenous Symbiosis: Opportunities in integrated first and second generation biorefineries
  • 4. Conclusions
  • Acknowledgment
  • References
  • Process evaluation of the ecological performance of food and energy plant production systems
  • 1. Introduction
  • 2. Method . The Sustainable Process Index (SPI)
  • 3. Results
  • 4. Conclusions
  • References
  • An MILP Model for the Optimization of Hybrid Renewable Energy System
  • 1. Introduction
  • 2. Mathematical formulation
  • 3. Case study
  • 4. Conclusions
  • References
  • TAEE Sustainable Process Design and Simulation
  • 1. Background
  • 2. Case Studies Description
  • 3. Methodology
  • 4. Results and Discussion
  • 5. Conclusions
  • References
  • A Cooperative Distributed Model Predictive Control for Nonlinear Systems with Automatic Partitioning
  • 1. Introduction
  • 2. Problem Formulation
  • 3. Application
  • 4. Conclusion
  • References
  • Modelling, simulation and experimental validation for styrene miniemulsion polymerization process
  • Introduction
  • Methodology
  • Results
  • Conclusions
  • References
  • Dynamic Metabolic Modelling of Cupriavidus necator DSM 545 in PHB Production from Glycerol
  • 1. Introduction
  • 2. Materials and Methods
  • 3. Dynamic Metabolic Modelling
  • 4. Results and Discussion
  • 5. Conclusions
  • References
  • Waste heat utilisation of Croatian cement industry accounting Total Site demands
  • 1. Introduction
  • 2. Process description
  • 3. Methodology
  • 4. Case study
  • 5. Conclusions
  • Acknowledgements
  • References
  • Co-gasification of torrefied wood biomass and sewage sludge
  • 1. Introduction
  • 2. Methods
  • 3. Results and discussion
  • 4. Conclusions
  • References
  • Total Site Resource Efficiency System
  • 1. Introduction
  • 2. Sustainability dimensions
  • 3. Total Site Resource Efficiency System
  • 4. Industrial Laundry . A case study
  • 5. Conclusions
  • References
  • Empirical Modelling to support Scale up of Primary Pharmaceutical Processes
  • 1. Introduction
  • 2. Scale up strategy
  • 3. Results
  • 4. Conclusions
  • References
  • A Methodology for Linear Modeling Applied to Process Synthesis of Ethanol from Sugarcane Bagasse
  • 1. Introduction
  • 2. Superstructura
  • 3. Mathematical model
  • 4. Result
  • 5. Conclusions
  • References
  • Macro- and Micro-economic Perspectives regarding the Syntheses of Sustainable Bio-Fuels Supply Networks
  • 1. Introduction
  • 2. Total profit from macro- and micro-economic perspectives
  • 3. Illustrative case study
  • 4. Conclusions
  • Acknowledgments
  • References
  • Innovative 3D Training Platform for Recycling of Waste coming from Electric and Electronic Devices
  • 1. Introduction
  • 2. Project overall scope
  • 3. Project aims and objectives
  • 4. Research methodology to identify materials included in WEEE
  • 5. Exploitation strategy/dissemination
  • 6. Pilot implementation and Bussiness plan
  • 7. Conclusions
  • References
  • Process Integration of Heat Utilised from Exhaust Gases
  • 1. Introduction
  • 2. Methodology
  • 3. Case study
  • 4. Conclusion
  • Acknowledgements
  • References
  • Hydrocracking Reaction Model of Petroleum Heavy Cuts Using Molecular Reconstruction
  • 1. Introduction
  • 2. Experimental Data
  • 3. Molecular Reconstruction
  • 4. Correlations for the conversion hydrocracking model
  • 5. Thermodynamic Method
  • 6. Development of the hydrocracking model
  • 7. Results and discussion
  • 8. Conclusions
  • References
  • Data Reconciliation for Energy System Flowsheets
  • 1. Introduction
  • 2. Problem statement
  • 3. Methodology
  • 4. Case study
  • 5. Results and discussion
  • 6. Conclusions
  • References
  • Power-to-Heat: Opportunities in Reserve Market Participation for Flexible Chemical Production
  • 1. Introduction
  • 2. Dynamic Plant Model
  • 3. Optimization Formulation
  • 4. Results
  • 5. Conclusion
  • 6. Acknowledgment
  • References
  • Optimisation of heat exchanger networks involving isothermal and non-isothermal mixing by global and local solvers
  • 1. Introduction
  • 2. Problem statement
  • 3. Models and solution approach
  • 4. Case studies
  • 5. Conclusions
  • Acknowledgments
  • References
  • Integrated Hybrid Life Cycle Optimization with Application to Sustainable Design of A UK Advanced Biofuel Supply Chain
  • 1. Introduction
  • 2. Integrated Hybrid LCA
  • 3. Integrated Hybrid LCO
  • 4. Application to Bio-ethanol Supply Chain Design
  • 5. Conclusions
  • References
  • Optimal Design and Synthesis of Algae Processing Network under Uncertainty Based on Return on Investment
  • 1. Introduction
  • 2. Process description
  • 3. Model formulation and solution strategy
  • 4. Results and Discussion
  • 5. Conclusions
  • References
  • Systematic Design of the Green Ethylene Glycol Downstream Process under the Generalized Disjunctive Programming Framework
  • 1. Introduction
  • 2. Mathematical models
  • 3. Optimization Problem
  • 4. Conclusions
  • References
  • A pharmacokinetic-pharmacodynamic model for individualisation of an oral anticoagulation therapy
  • 1. Introduction
  • 2. Model development
  • 3. Results and discussion
  • 4. Conclusions
  • References
  • Multi-objective optimization of energy networks under demand uncertainty
  • 1. Introduction
  • 2. Problem statement and proposed model
  • 3. Numerical Example
  • 4. Multi-objective optimization
  • 5. Uncertainty in the demand
  • 6. Conclusions
  • References
  • A Convex Hull Formulation for the Design of Optimal Mixtures
  • 1. Introduction
  • 2. Problem formulations
  • 3. Case study: maximizing the solubility of ibuprofen
  • 4. Conclusions
  • References
  • An Ontological Approach to Chemical Engineering Curriculum Development
  • 1. Introduction: Knowledge Modelling in Education
  • 2. Methodology: Development of ChEEdO
  • 3. Results and Discussion
  • 4. Conclusions
  • 5. References
  • Dynamic Real-time Optimization Under Uncertainty of a Hydroformylation Mini-plant
  • 1. Motivation and Research Goal
  • 2. Applied Approach: Chance-Constrained Optimization
  • 3. Application: Hydroformylation in Microemulsions
  • 4. Mini-plant Operation and D-RTO Application
  • 5. Conclusions and Outlook
  • 6. Acknowledgements
  • References
  • Integrated Computer-aided Framework for Sustainable Chemical Product Design and Evaluation
  • 1. Introduction
  • 2. Framework
  • 3. Case study
  • 4. Conclusion
  • References
  • Production of Benzene, Toluene, and the Xylenes from Natural Gas via Methanol
  • 1. Introduction
  • 2. Natural Gas to Aromatics, GRA, Process Superstructure
  • 3. Deterministic Global Optimization
  • 4. Computational Studies
  • 5. Conclusions
  • 6. Acknowledgements
  • References
  • Mathematical Modeling of a Raceway Pond System for Biofuels Production
  • 1. Introduction
  • 2. Complex Bioprocess Modeling using DFBA
  • 3. Raceway Pond Modeling Using DFBA
  • 4. Raceway Pond Case Study Results
  • 5. Conclusions
  • References
  • Configurable Scheduling Solution using Flexible Heuristics
  • 1. Introduction
  • 2. Example problem
  • 3. Solution approach
  • 4. Conclusions
  • References
  • Towards Outcomes-Based Education of Computer-Aided Chemical Engineering
  • 1. Introduction
  • 2. Using computers within the chemical engineering curriculum
  • 3. Learning outcomes for Computer-Aided Chemical Engineering education
  • 4. Conclusions
  • References
  • Nonlinear Model Order Reduction for Catalytic Tubular Reactors
  • 1. Introduction
  • 2. Full Order Reactor Model
  • 3. Model Order Reduction
  • 4. Results
  • 5. Conclusion
  • 6. Acknowledgment
  • References
  • Multi-objective Optimisation Approach for the Synthesis of Water Treatment Plants
  • 1. Introduction
  • 2. Problem statement
  • 3. Mathematical model
  • 4. Application
  • 5. Conclusions
  • Acknowledgements
  • References
  • P-Graph Approach to Carbon-Constrained Energy Planning Problems
  • 1. Introduction
  • 2. Problem Statement
  • 3. P-graph Methodology
  • 4. Case Study
  • 5. Conclusions
  • References
  • Innovative computational tools and models for the design, optimization and control of carbon capture processes
  • 1. Introduction
  • 2. FOQUS
  • 3. Carbon Capture Example
  • 4. Summary
  • References
  • Decision Making Across Different Scales: From Process Control to Supply Chain Management
  • 1. Introduction
  • 2. Supply chain management
  • 3. Integration of Planning and Scheduling
  • 4. Integration of production scheduling and process control
  • 5. Conclusion
  • References
  • ESCAPE-ing into a sustainable future: Can we optimise our way to sustainable development?
  • Models and Modelling Tools for Chemical Product and Process Design
  • Process Integration: Pinch Analysis and Mathematical Programming - Directions for Future Development
  • References
  • Management of "Systematic Innovation": A kind of quest for the Holy Grail!
  • Challenges and Opportunities in Sustainable Supply Chains
  • The ALAMO approach to machine learning
  • Author Index

Dateiformat: EPUB
Kopierschutz: Adobe-DRM (Digital Rights Management)

Systemvoraussetzungen:

Computer (Windows; MacOS X; Linux): Installieren Sie bereits vor dem Download die kostenlose Software Adobe Digital Editions (siehe E-Book Hilfe).

Tablet/Smartphone (Android; iOS): Installieren Sie bereits vor dem Download die kostenlose App Adobe Digital Editions (siehe E-Book Hilfe).

E-Book-Reader: Bookeen, Kobo, Pocketbook, Sony, Tolino u.v.a.m. (nicht Kindle)

Das Dateiformat EPUB ist sehr gut für Romane und Sachbücher geeignet - also für "fließenden" Text ohne komplexes Layout. Bei E-Readern oder Smartphones passt sich der Zeilen- und Seitenumbruch automatisch den kleinen Displays an. Mit Adobe-DRM wird hier ein "harter" Kopierschutz verwendet. Wenn die notwendigen Voraussetzungen nicht vorliegen, können Sie das E-Book leider nicht öffnen. Daher müssen Sie bereits vor dem Download Ihre Lese-Hardware vorbereiten.

Weitere Informationen finden Sie in unserer E-Book Hilfe.


Dateiformat: PDF
Kopierschutz: Adobe-DRM (Digital Rights Management)

Systemvoraussetzungen:

Computer (Windows; MacOS X; Linux): Installieren Sie bereits vor dem Download die kostenlose Software Adobe Digital Editions (siehe E-Book Hilfe).

Tablet/Smartphone (Android; iOS): Installieren Sie bereits vor dem Download die kostenlose App Adobe Digital Editions (siehe E-Book Hilfe).

E-Book-Reader: Bookeen, Kobo, Pocketbook, Sony, Tolino u.v.a.m. (nicht Kindle)

Das Dateiformat PDF zeigt auf jeder Hardware eine Buchseite stets identisch an. Daher ist eine PDF auch für ein komplexes Layout geeignet, wie es bei Lehr- und Fachbüchern verwendet wird (Bilder, Tabellen, Spalten, Fußnoten). Bei kleinen Displays von E-Readern oder Smartphones sind PDF leider eher nervig, weil zu viel Scrollen notwendig ist. Mit Adobe-DRM wird hier ein "harter" Kopierschutz verwendet. Wenn die notwendigen Voraussetzungen nicht vorliegen, können Sie das E-Book leider nicht öffnen. Daher müssen Sie bereits vor dem Download Ihre Lese-Hardware vorbereiten.

Weitere Informationen finden Sie in unserer E-Book Hilfe.


Download (sofort verfügbar)

493,85 €
inkl. 19% MwSt.
Download / Einzel-Lizenz
ePUB mit Adobe DRM
siehe Systemvoraussetzungen
PDF mit Adobe DRM
siehe Systemvoraussetzungen
Hinweis: Die Auswahl des von Ihnen gewünschten Dateiformats und des Kopierschutzes erfolgt erst im System des E-Book Anbieters
E-Book bestellen

Unsere Web-Seiten verwenden Cookies. Mit der Nutzung dieser Web-Seiten erklären Sie sich damit einverstanden. Mehr Informationen finden Sie in unserem Datenschutzhinweis. Ok