Course Overview OSPT Summary

7/29/2019 Course Overview OSPT Summary

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Course Program OSPT

Netherlands Research School in Process Technology

Course Program A Unified Approach to Mass Transfer (UAMT) Advanced Process Integration & Plant-wide Control (APIPC) CFD for Chemical Engineers (CFD-CE) Computational Fluid Dynamics of Multiphase Flow (CFD-MF) Fluidization Technology (FT) Fundamentals and Practice of Process Intensification (FPPI) Molecular Affinity Separations (MAS) Nanoparticle Technology (NT) Numerical Methods for Chemical Engineers (NMCE) Process Economics & Cost Engineering (PECE) Stability, Efficiency, and Controllability of Dynamical Systems(SECDS)

Sustainable Process, Product, and System Design (SPPSD) Thermodynamics for the Process Technology (TPT) Chemical Product Centric Process Design (CPCPD) Advanced Computer Aided Modeling (ACAM) Particle Technology


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A Unified Approach to Mass Transfer (UAMT)

In this course, you will learn a method to describe all mass transfer processes.These include multicomponent processes (with three or more species) and

processes with several driving forces. Such driving forces are gradients ofconcentration gradients, (or more accurately: activity), of pressure, of electricaland centrifugal potential. The method also describes transfer through solidmatrices, such as in membrane processes and in porous catalysts or adsorbents. Itis based on the Maxwell-Stefan equations, which are a force balance of thedifferent species in a mixture. It links thermodynamics and transport phenomena ina way that is easily understood by engineers.The course consists of short lectures, followed by computer tutorials. You will beworking out many realistic examples on the computer (in groups of two) anddiscussing how to go on for at least half of the course. Most of the examples arebased on realistic practical problems (many of them coming from participants of

the previous courses). You will be using Mathcad to solve these problems: those ofyou who do not know Mathcad will receive instruction material a few weeks beforethe course. (You will need about half a day to prepare yourself). We do expect allparticipants to reasonable background in thermodynamics and transportphenomena.

Advanced Process Integration & Plant-wide Control (APIPC)

This course teaches new advanced techniques in process synthesis, as well as theintegration between Conceptual Design and Plant-wide control.Special attention is paid to emphasize the use of computer simulation at allconceptual, analysis and validation stages.

The course is intended for PDEng's, AIO's postgraduate students. Provided thatthere is sufficient room (there is a maximum of 20 participants), engineers andtechnical staff (Design, Research & Development, Operation) will be admitted aswell.

CFD for Chemical Engineers (CFD-CE)

Laminar and turbulent, single or multiphase flows with heat and mass transfer playan important role in almost all aspects of chemical engineering. Whether it is forthe analysis of transport limitations in kinetic measurements, for the operation of

biochemical analyses, or for the design of chemical reactors and processes,whether it is in nanofluidic systems, pipe-line systems or in multi-tonne processequipment, chemical engineers need to unravel, design and control fluid flows.Since they are governed by complex, non-linear partial differential equations (theNavier Stokes equations), all but the most simple fluid flows are inaccessible tomathematical analysis. Empirical correlations, such as in Perrys, provide global,time averaged information with limited accuracy only. Therefore, ComputationalFluid Dynamics, i.e. the numerical simulation of fluid flows on a computer, hasbecome an ever more important tool for ChemEs. In the hands of a knowledgeableuser, nowadays commercially available CFD software is a really powerful andaccurate tool in unravelling the influence of fluid flow on chemical processes. In the

hands of the inexperienced user, however, CFD will produce rubbish at best. Theaim of this course is to help you to become a knowledgeable CFD user. You willlearn the underlying theory and computational models for fluid flow and turbulence,


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so that you know what you are doing. And you will get hands-on experience withthe most widely used CFD software package Fluent. Theory lectures in themornings are followed by hands-on computer sessions in the afternoon. The courseis taught by Professor Harry van den Akker, who has been one of the pioneers inthe application of CFD to ChemE problems, both in industry and in academia.

Computational Fluid Dynamics of Multiphase Flow (CFD-MF)

The discipline of Computational Fluid Dynamics (CFD) involves the analysis of fluidflow and related phenomena such as heat and/or mass transfer, mixing andchemical reaction using numerical solution methods. Due to the rapid advances inCFD and the potential it provides to analyze, on a fundamental basis, systems ofconsiderable interest to the chemical engineer, it can be anticipated that theimportance of CFD as a workhorse for the chemical engineering community willrapidly increase in the near future.

With this course we intend to provide detailed knowledge on the physicalfoundation of multiphase flow models and the associated numerical solutionmethods. Due to its relevance for many industrial applications the emphasis duringthe course will be on dispersed multiphase flows. The course includes hands-oncomputer sessions in which several in house simulation tools will be used to solvecomplex multiphase fluid flow problems.

Fluidization Technology (FT)

This course aims at giving the participants an overview of the phenomena takingplace in fluidized beds, to show current applications, and to treat relevant topics in

design and operation. The focus is on gas-solid fluidized beds. An overview will begiven of state-of-the-art techniques for measuring and modeling fluidized bedhydrodynamics. The course is taught by experts in the field, coming from theNetherlands and Canada.

Aimed at: PhD students, PDEng students, other researchers from university andindustry.

Fundamentals and practice of Process Intensification (FPPI)

Process intensification (PI) is commonly seen as one of the most promising

development paths for the chemical process industry and one of the mostimportant progress areas for modern chemical engineering. The European Roadmapfor Process Intensification describes it asradically innovative principles (paradigmshift) in process and equipment design which can benefit (often with more than afactor two) process and chain efficiency, capital and operating expenses, quality,wastes, process safety and more. Micro reactors, high-gravity equipment orintegrated operations are well-known examples of PI-technologies.The present short course focuses on the fundamentals of Process Intensification. Itpresents the underlying generic principles and introduces four fundamentalapproaches of PI in four domains: spatial, thermodynamic, functional, andtemporal. The approaches refer to all scales existing in chemical processes, from

molecular to meso- and macroscale, and are illustrated


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with relevant examples. Additional zoom-in lectures provide a more in-depthinformation on selected PI-technologies including structured reactors, microreactors, photo reactors as well as reactive and hybrid separations.On the last day of the course the participants will be given an opportunity toanalyze and redesign an existing chemical process using fundamental PI principlesand approaches.

Molecular Affinity Separations (MAS)

This course contents the following topics: Affinity Adsorption Processes Molecular Modeling in Affinity Ligand Design Affinity Adsorption Materials Affinity Adsorption in Food Applications Affinity Solvent Systems Affinity Chromatography Molecular Membrane Separations Liquid Membranes Affinity Membrane SeparationNanoparticle Technology (NT)

Introduction to particle technology.Definitions of particle size and shape, characterization methods. Motivation of applying nanoparticlesDifferent behavior of small particles and large particles; examples for application ofsmall particles (without explaining underlying principles)

Basic properties of small particlesGeometric (e.g. surface/volume) effectsMagnetic effectsQuantummechanical effects Applications of nanoparticlesFood, Catalysis, Cosmetics, Medical diagnostics & therapy, Energy storage(batteries, hydrogen), Chemical sensors, Supercapacitors, Composites, Coatings Nanoparticle productionMilling, Gas phase methods, Liquid phase methods Nanoparticle functionalization Nanoparticle assembly principles

Safety issues

Numerical Methods for Chemical Engineers (NMCE)

Mathematical modeling of physical and chemical processes often leads to a systemof complex model equations. It is not possible to solve these equations in ananalytical way, and therefore numerical methods and techniques are necessary toarrive at solutions of the model equations. This course is a general introduction inthe mathematical aspects of the numerical methods, which are suited to performreactor calculations and process simulations.Topics, which will be covered in this two-week course, are:

- solving systems of linear and non-linear equations- ordinary differential equations- differential Algebraic systems


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- partial differential equations

Via courses and closely related computer tutorials the numerical methods will beintroduced and practiced.

Particle-based Modeling of Transport Phenomena (PMTP)

The recent years there has been a strong development of simulation methodsoriented on transport phenomena in complex fluids like granular matter,suspensions, emulsions, fluidized beds, aerated fluids and polymeric fluids. Many ofthese novel simulation methods focuses on flow phenomena on the length scale ofindividual structures in these fluids like (suspended/fluidized) solid particles,droplets and bubbles, and polymer molecules (using bead/spring models).

The aim of the course is to give the attendants a first, but thorough introductioninto these novel methods, which are the following: Lattice Boltzmann (LB) method, Dissipative Particle Dynamics (DPD), Granular Dynamics (GD)

What binds these methods is that they all have a particle-based description of thephenomena, in contrast to the traditional CFD-methods, which are based on thecontinuum-based Navier Stokes equation. LB and DPD use virtual particlesrepresenting a fluid, which interact via collisions and forces. In LB particles resideon a lattice, whereas in DPD the particle positions are not constrained to a grid. InGD the particles represent real granular particles, with interaction with surroundingfluid via forces (p.e. drag force).

Process Economics & Cost Engineering (PECE)

Engineers design and develop new concepts with the aim of improving life.It happens that a new concept is technically brilliant, but never makes it becauseeconomically it would be a disaster. Thats why engineers should have a basicunderstanding of the economic parameters that determine the success or failure ofa promising concept.The present course presents the basic principles of (process) economics and costengineering, as seen from the viewpoint of a chemical engineer.

Stability, Efficiency, and Controllability of Dynamical Systems (SECDS)

What is the connection between the Second Law of Thermodynamics andengineering concepts such as controllability, stability and efficiency? The main issuein this one week course is that the evolution of processes is dictated by the Laws ofThermodynamics, in particular the entropy gives the direction of a process and itsdriving forces. Deviations and time rate of change of the state functions, such asentropy production rate, provide measures of efficiency, stability and controllability.On the microscopic level existence of local equilibrium allows for the definition of alocal entropy production rate as a product of the thermodynamic driving forces andfluxes. The relation between the local forces and fluxes is linear and the coefficients

obey Onsager's reciprocal relations. With exergy analysis we can identify the lostexergy by the entropy production rate. Efficiencies can be determined for unitoperations and subsequently schemes for second law optimisation can be


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developed. Optimal performance is often attained when the coupling betweendifferent thermodynamic forces and fluxes is employed. At the macroscopic levelthe optimisation of integrated processes, their controllability, and stability arerelated to the total entropy production rate or the exergy destruction as a functionof the available degrees of freedom.

Sustainable Process, Product, and System Design (SPPSD)

Engineers have the ability and opportunity to make a difference in sustainabilityissues. Societies worldwide increasingly require proper living standards embeddedin ecologically and resource balanced surroundings. In this respect, the processindustry can be viewed upon as an intermediate between resources and products.Consequently, the process industry nowadays faces huge challenges to fulfill thesedemands and requirements, such as to reduce and abandon resource depletion,improve health conditions, and supply soundly produced goods. Being thetechnological expert in the process industry, engineers are key in the efforts tosustainable development, for they can make the connection between societaldemands and novel process systems and new products.

The purpose of this course is to learn to design processes, products and systemswith sustainable development goals and constraints.The term Sustainable Development contains social, cultural, environmental andeconomic aspects and it takes worldwide and long-term perspectives into account.It focuses on two types of developments; one that is about improving the welfareof a society, as used in the term developing countries and one that leads totechnological innovation, as used in the term "Research and Development" in theindustrialized countries.

The learning objectives of the course are connected to the four stages of designing:- settlement ofproblem definition for sustainable design- analysis of system elements and emission streams- synthesis: apply innovative sustainable technologies and solutions in context- evaluation: define your role and impact as an chemical engineer

Each specific topic will be taught by an OSPT teacher. As design is mainly learnedby doing, the course will provide for each topic some theory followed by casedesign improvements

Thermodynamics for the Process Technology (TPT)

For the design of industrial processes reliable values of the properties of the purecomponents and mixtures which are involved in the process are very important.Often experimental data are not or only partly available. This course handles thestate of the art of methods to estimate the thermodynamic properties of purecomponents and mixtures and of chemical equilibria and phase equilibria. Advancedequations of state and activity coefficient models will be handled. Also attention willbe paid to thermodynamic analysis of processes, the so called exergy analysis. Thetextbook The Properties of Gases and Liquids by B.E. Poling., J.M. Prausnitz andJ.P. Oconnell will be used for the main body of the course.


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Chemical Product Centric Process Design (CPCPD)

The objective of this PhD-course is to give the participants a view of chemicalproduct design and the important process design issues related to theirdevelopment (product-centric process design). The course will highlight how todefine the needs of a chemical product; how to identify the candidate chemicalsand/or mixtures of chemicals and how to quickly evaluate the important processdesign issues so that decisions related to product development can be made in theearly stages of product development. The objective is also to highlight the currentlyavailable methods and tools that can be applied to solve various types of problemsassociated with product-process design in a systematic and integrated manner.Different case studies will be used as application examples.

Advanced Computer Aided Modeling (ACAM)

The course provides coverage of introductory and advanced process modeling andsolution concepts for lumped and distributed systems, discrete event and hybridsystems. Mechanistic and data-based modeling concepts are also covered. Thecourse should help the participant to develop skills in model formulation, analysisand solution of the model equations.

Particle Technology (JMBC+OSPT course)

Particles can be found as granular materials in our kitchen (coffee/starch/sugar), inchemical and pharmaceutical industry (tablets/medicine/powders) in nature(sand/soil), or as solids with microstructure (ceramics/composites/metal-alloys).They are everywhere in nature and constitute over 75% of all raw material

feedstock to industry providing many challenges for innovation and fundamentalscience. The discrete, particulate nature of these materials leads to usuallyunwanted and sometimes fatal phenomena.Particle technology is the branch of science and engineering that deals with theproduction, handling, modification, and use of a various particulate materials (wetor dry) in sizes ranging from nanometers to centimeters; its scope and applicationsspan a range of industries including chemical, mechanical, petrochemical,agricultural, food, pharmaceuticals, mineral processing, advanced materials,energy, and the environment.The purpose of this course is to give a broad overview of most fields andapplications of particle technology. Due to the broad range of particle technology,

only few issues can be discussed in depth and addressed by exercises. During thecourse, reference will be made to various more specialized courses that are given inthe near future.

Participants can be beginning MSc and PhD students in the fields of fluid-mechanicsand physics, process-technology, chemical and mechanical engineering as well asgeo-sciences, informatics or mathematics. However, also senior-students who wantto gain a broader overview and also industrial researchers and technicians will findthis course interesting.

Course Overview OSPT Summary

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