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Webinar archive

Past webinars are available for on-demand viewing. Learn more about gPROMS, Advanced Process Modelling and other topics in the following categories...

Chemicals & Petrochemicals

gPROMS Utilities: Advanced utilities optimisation for process plants
Plants consume fuels, electricity and steam in time-varying quantities, and via multiple routes. The process plants themselves can generate steam and fuels, electricity can be sold to the grid and the prices of the various components can change hourly. Added to this complexity are day-to-day changes in major equipment availability. PSE’s gPROMS Utilities suite helps find a way through the maze by applying rigorous optimisation technology to process models of the utility system, taking into account demands, prices and availability, to find the economically optimal operating profile for any situation.
gPROMS Utilities
Recorded:
February 16, 2017
Whole plant optimisation for chemical plants
In the production of propylene oxide and styrene monomer, a large part of the cost of the process (and hence its profitability) is influenced by the capital cost of the reactor and separation equipment, and the energy requirements for large distillation columns, which may be required to operate at high reflux for close-boiling mixtures. This webinar describes two process design case studies aimed at improving process economics, in one case leading to identified savings of 10s of millions of euros per year.
Whole plant optimisation
Recorded:
January 25, 2017
Catalytic reactor design and analysis
Careful design of catalytic reactors, the workhorses of the chemicals industry, can reduce both the cost and risk associated with new designs, as well as reduce ownership costs significantly through better catalyst performance. This webinar shows how it is now possible to perform detailed design of multitubular reactors taking into account multi-scale effects - from catalyst pore to industrial reactor scale - within a flowsheeting simulator environment.
Catalytic Reactors
Recorded:
December 8, 2016
Modelling distillation process dynamics in gPROMS ProcessBuilder
Typically, distillation columns are designed and operated based on time-invariant (steady state) analysis. In reality however, distillation processes are continuously subject to disturbances, caused by variations in feedstock, changes in product requirements, the availability of utilities, and so on. Dynamic modelling is a key technology for optimising column design and operation. It can be used to understand the effects of feed and product quality changes, periodic feed upsets and abnormal operation, and then to design and tune control schemes capable of dealing with such disturbances.
Distillation
Recorded:
November 8, 2016
gSAFT for polymer modelling: Advanced physical property prediction in gPROMS
Accurate prediction of physical properties is an essential component of process modelling. The advent of equations of state derived formally from molecular-level interactions, such as those based on the Statistical Associating Fluid Theory (SAFT), marks a step change in this context. This webinar demonstrates the application of gSAFT to an issue of particular relevance to the pharmaceutical industry: solubility prediction. Topics include:
  • Predictive capabilities of gSAFT for polymer solutions
  • Defining polymer mixtures in gSAFT
  • Accurate and reliable phase equilibrium calculations for mixtures involving polymers
  • Reactor modelling: modifying the polymer structure during process simulation: variable molecular structures in gSAFT
gSAFT for Polymer Modelling
Recorded:
November 2, 2016
Batch process optimisation
The dynamic nature of batch processing makes process optimization a challenging task unsuited to traditional steady-state simulation tools. Model-based engineering empowers the engineer to explore, evaluate and optimize alternative operating policies, making it possible to enhance product quality, minimize batch time to increase throughput subject to quality and other constraints, and optimize recipes for different equipment or product qualities.
Batch process optimisation
Recorded:
October 27, 2016
Easy design and operational analysis of pressure swing adsorption systems
Adsorption process development is typically a slow, iterative procedure where the goal is restricted to confidence rather than optimisation. Engineers must rely on pilot plant testing and design heuristics because legacy simulation software is unsuited to the flow reversals, fast transients and discontinuities inherent to cyclic separations. Equation-oriented dynamic modelling can solve cyclic separation systems rapidly and robustly, allowing engineers to answer design and operational questions based on accurate predictions.
Cyclic separation
Recorded:
August 17, 2016
Integrated detailed reactor and process design
Reactor design and operation is core to the profitability of any chemical manufacturing organisation. However, until recently there has been a lack of modelling tools and systematic methodologies not only for performing detailed reactor design and scale-up, but also for optimising reactor design within the context of the wider process flowsheet.
Integrated reactor design
Recorded:
September 23, 2015
Advanced dynamic modelling of compression trains using gPROMS ProcessBuilder
Compression trains affect the efficiency and profitability of many industrial sectors including Chemicals, Oil & Gas and Carbon Capture. This webinar describes how Advanced Process Modelling can help optimise compression train operation. Through detailed dynamic modelling, different anti-surge control configurations can be tested, taking into account interactions with other control system and process units. The presentation also describes an approach to determine optimal start-up and shut-down procedures. Compression train optimisation has been shown to increase throughput by 20% and reduce energy consumption by 10%.
Compression trains
Recorded:
July 9, 2015
Advanced applications: Cyclic separation
Periodic adsorption processes, such as PSA or TSA, are widely used in industry as energy-efficient alternatives to cryogenic or absorptive separation technologies - for example in the production of high-purity hydrogen, the upgrading of bio-based gases and the separation of close-boiling mixtures. Until now, the tools and methodologies for rigorous design of these processes have been limited, and this has posed challenges for the effective design of adsorption systems themselves and the integration of adsorption operations with the rest of the process. In this webinar, PSE will present how new tools for integrated design of periodic adsorption processes can help save time and money.
Cyclic separation
Recorded:
March 25, 2015
Design & Scale-up of Multitubular Reactors
Multitubular reactors are widely used for fixed-bed catalytic reactions, but good design and operation are challenging. A good design eliminates danger areas where hot spots can occur. This is achieved by adjusting reactor specifications to provide optimal heat control. Detailed modelling is the only reliable way to accurately predict heat transfer at all points throughout the reactor. This webinar describes a hybrid modelling approach, which simultaneously considers the fluid dynamics on the shell side and the catalytic reactions occurring in the tubes.
Multitubular reactors
Recorded:
May 16, 2013

Life Sciences

Integration of downstream unit operations in crystallization process design
In the first part of this work, we examine a continuous cooling crystallization cascade process and explore its optimization, while maintaining the content uniformity of the final solid oral dosage form. A number of optimization objectives are then posed, which include increasing throughput of the API and impact of continuous seeding. In the second portion, a model-based workflow for the scale-up of filtration is presented. The workflow begins with the estimation of the filtration properties from small scale pressure filter experiments. The cake properties were subsequently employed within a centrifuge model to predict the filtration behavior of the system at plant scale and to optimize the process schedule.
Integration of downstream unit operations in crystallization process design
Recorded:
December 14, 2016
Digital Design of Drug Product: application of global system analysis to a tablet manufacturing process
Traditionally, formulation and process development within the pharmaceutical industry is driven by extensive trial-and-error experimentation. The Digital Design of Drug Product (D3P) project integrates qualitative and quantitative tools to facilitate an approach to formulation and process design based on the development of fundamental process and product understanding. A global system analysis approach has been used to realise an in-silico ‘design space explorer.’ This tool is applied to a roller compaction tablet manufacturing process to understand the impact of raw material and process changes on product quality. The approach can be used to inform risk assessment and to design a robust control strategy for the product.
Digital Design of Drug Product
Recorded:
October 13, 2016
gSAFT for solubility prediction: Advanced physical property prediction in gPROMS
Accurate prediction of physical properties is an essential component of process modelling. The advent of equations of state derived formally from molecular-level interactions, such as those based on the Statistical Associating Fluid Theory (SAFT), marks a step change in this context. This webinar demonstrates the application of gSAFT to an issue of particular relevance to the pharmaceutical industry: solubility prediction. Topics include:
  • Theoretical background for prediction of solid/liquid equilibria
  • Gibbs free energy models for solid phases
  • Solubility predictions of complex molecules in pure and multicomponent solvents, with particular emphasis on active pharmaceutical ingredients
gSAFT for Solubility Prediction
Recorded:
September 28, 2016
Precipitation of poorly soluble drugs: Experimental investigation using the Artificial Stomach Duodenum System and kinetics modelling using the gCOAS oral absorption model
In vivo drug precipitation has been a major issue facing poorly soluble drugs, especially weak bases. This work aims to provide a framework on how to use the Artificial Stomach Duodenum (ASD) System to assess the extent of precipitation of poorly soluble compounds under biorelevant conditions. The concentration profiles measured in the ASD System are used as inputs in the gCOAS® ASD model to estimate the nucleation and growth kinetic parameters. These crystallization kinetic parameters are then used in the gCOAS GI tract model to simulate in vivo precipitation under human fasted conditions and to calculate the fraction absorbed as a function of dose.
Lilly ASD and gCOAS
Recorded:
June 15, 2016
Systems-based Pharmaceutics: Risk management and reducing iterations between drug product and manufacturing process design
This webinar presents how Systems-based Pharmaceutics is transforming pharmaceutical process development and how it will continue doing so in future. Topics include:
  • The Systems-based Pharmaceutics vision
  • How industry and academia are collaborating to make this vision a reality: SbP Alliance, D3P, REMEDIES and ADDoPT
  • Industrial case studies illustrating use of systems approaches in drug substance manufacture, drug product manufacture and in-vitro / in-vivo drug product performance
SbP Phase 2
Recorded:
March 23, 2016
gCOAS: A comprehensive framework for mechanistic modelling of biopharmaceutics performance
This webinar explores the high fidelity (or mechanistic) mathematical models which underpin the oral absorption and in vitro dissolution and precipitation simulations, in the context of case studies presented in previous gCOAS webinars. Topics include:
  • Population balance tracking of particle size distribution
  • Detailed, mechanistic precipitation and dissolution models
  • And more…
gCOAS framework
Recorded:
December 16, 2015
Biopharmaceutics risk assessment via gastrointestinal modelling
The biopharmaceutics performance of drug products can depend on multiple factors, including drug substance physicochemical properties, particle size distribution, patient physiology and dosage form composition. Even to the most experienced investigators, the interplay of these factors is not intuitive. In silico modelling allows for the low cost, rapid identification of risk factors affecting drug absorption. Formulators can then develop risk mitigation strategies before clinical trials, allowing them to design clinical studies to understand, confirm and mitigate the predicted risks.
Gastrointestinal modelling
Recorded:
October 8, 2015
Prediction of drug absorption in the human intestine - a case study
As the pharmaceutical industry faces increasing pressure to bring new and better drugs to market earlier, formulation scientists are challenged to reduce expensive, time-consuming animal and human trials. Accurate predictions of oral absorption based on physicochemical properties can help identify and mitigate formulation risk factors prior to FIA trials. This webinar presents a case study of mechanistic oral absorption simulation for the drug ziprasidone , a hydrochloride salt demonstrating a number of challenges for effective formulation. The presentation is based on work done in gCOAS, a new analysis tool for a priori prediction of drug absorption.
Oral absorption
Recorded:
May 6, 2015
Design Space: Modelling an industrial chromatographic bioseparation in the face of process variability
Advanced process modelling is being used to increase the robustness of chromatographic bioseparations in the face of process variability. This presentation describes how the development and validation of a mechanistic model of a chromatographic separation where resin lot variability can cause significant performance issues. The model was successfully applied to enable process operation further away from high risk regions, to increase the size of operating regions and improve flexibility to variations in process inputs.
Chromatographic bioseparations
Recorded:
July 11, 2013
Systems-based Pharmaceutics
Systems-based Pharmaceutics (SbP) is a holistic approach to the development and optimisation of drug manufacture and drug delivery. It applies high-fidelity mechanistic models validated against experimental data to increase R&D efficiency (making better use of PAT), perform smarter and faster tech transfer (fewer large scale trials) and ultimately design optimal processes using an industrially validated QbD approach. SbP has the potential to transform pharmaceutical process development.
Systems-based Pharmaceutics
Recorded:
December 20, 2012

Formulated Products

gPROMS FormulatedProducts Preview
gPROMS FormulatedProducts includes an integrated database capability for equipment, physiology and physical properties and has been designed with structured materials in mind. Phenomena such as multiple solid and liquid phases, micelles, crystal polymorphs, reactions and multi-layered structures can all be handled within a single, flexible physical properties framework. Combined with extensive built-in custom modelling, parameter estimation and optimisation capabilities, gPROMS FormulatedProducts provides powerful new capabilities in the digital design of formulated products.
gPROMS FormulatedProducts Preview
Recorded:
April 28, 2016
Spray drying process development: combining targeted experiments with mechanistic models
Spray drying is widely used to create powders with a broad scope of application such as detergents, food powders and pharmaceuticals. Combining mechanistic models with targeted experiments enables efficient development of robust spray drying processes. This webinar will examine the workflow needed to utilise a combined approach. The presentation will include the results from a recent Innovate UK project involving spray drying experts from Procter & Gamble, Novozymes and the University of Leeds.
Spray Drying
Recorded:
September 24, 2015
Reliable and Efficient Scale-up of a Batch Cooling Crystallization Process - an Industrial Case Study
For complex crystallization processes, population balance modelling is capable of predicting the effect of the batch recipe on the particle size distribution (PSD) of the final product. However, this technique is mathematically complex and has traditionally required deep knowledge of specialist areas. New tools allow engineers to apply population balance modelling without highly-specialised numerical skills.
Batch cooling crystallization
Recorded:
May 20, 2014
Modelling the Effect of Process Variables on the Polymorphic Transformation of L-Glutamic Acid
Polymorphic transformation greatly increases the difficulty of design and optimisation for crystallization processes. This webinar shows how gCRYSTAL® allows scientists and engineers to efficiently and accurately model the effects of process variables such as seed size, mass, contamination level and agitation rate.
Polymorphic transformation
Recorded:
March 27, 2013
Challenges in Combined Antisolvent and Cooling Crystallization
High-fidelity predictive modeling of crystallization processes allows design and operating decisions to be based on accurate information obtained by combining fundamental physics and experimental or operating data.
Combined Antisolvent and Cooling Crystallization
Recorded:
December 5, 2012
Model-based Engineering of Spray Drying
Spray drying uses hot gas to produce a dry solid product from atomized droplets of a solution.  The process is commonly used in the pharmaceutical and food industries as well as some applications in the broader chemicals industry.  Model-based engineering techniques can significantly improve process capability.
Spray Drying
Recorded:
November 13, 2012
Scale-up of Impact Milling
Accelerate scale-up with a low-cost, low-risk procedure that minimizes the time required for experimentation.
Scale-up of Impact Milling
Recorded:
July 12, 2012
Batch to Continuous: Exploring the design space for multi-stage continuous cooling crystallization
Applying gCRYSTAL® to a process involving multiple Mixed Suspension Mixed Product Removal (MSMPR) crystallizers.
Batch to Continuous Crystallization
Recorded:
July 11, 2012

Oil & Gas

Fire depressurisation in Oil & Gas facilities: detailed analysis
This webinar follows on our previous, Part 1, webinar on the topic. The presentation will briefly review the topics introduced in Part 1 focusing on the analytical methodology for fire depressurisation analysis and then discuss through case studies: the conventional workflows and how these can be improved in terms of efficiency, consistency and reduced uncertainty through the use of dynamic flare analysis and optimisation.
Fire depressurisation
Recorded:
October 20, 2016
Accurate low temperature analysis for blowdown systems under API 521
In conventional screening methods, calculations of safe design temperatures are based on analysis of a single pseudo-vessel with simplified representations of thermodynamics and heat transfer. Such methods are no longer seen as providing either the necessary assurance for safe operation or the required information for making capital expenditure decisions. In this presentation we discuss a rigorous approach, using distributed blowdown system models, to assess risks of cold temperature brittle fracture during process depressurization. We highlight the important benefits of this approach and when it should be applied, and discuss how it fits into existing engineering workflows and how it is aligned with the changing industry guidelines.
Blowdown
Recorded:
July 14, 2016
Fire analysis in upstream Oil & Gas facilities
The aim of depressuring in a fire emergency situation is to prevent possible catastrophic escalation. This is achieved by routing hydrocarbons into the flare network. The effect is not only to remove the flammable inventory from the system but also to reduce stresses in pipes and vessels. This webinar will discuss changes in the 6th edition of API 521 on fire analysis. The presentation will introduce the analytical methodology for fire analysis and explain the limitations of the empirical approach considering equipment in a well-ventilated fire area.
Fire analysis
Recorded:
March 17, 2016
Optimal selection of materials of construction for gas processing facilities
In gas processing facilities, minimum metal temperature usually sets the materials of construction. If metal temperatures below -46°C are predicted, Low Temperature Carbon Steel presents an embrittlement risk and designers must switch to expensive stainless steel construction. Such decisions have a huge impact on project costs, order times and project viability. In this webinar, we will present a case in which the decision was worth more than $1,000,000,000 in CAPEX.
MOC for Gas
Recorded:
February 18, 2016
Assessing the design temperature of flare headers
(contact PSE for access)
In many Oil & Gas facilities, the blowdown operation sets the minimum metal temperature and therefore drives materials-of-construction decisions. The choice between stainless steel and low temperature carbon steel can be worth many millions of dollars in material costs. A poor choice can compromise asset integrity. As industry guidelines evolve to highlight the importance of accurate low temperature assessment, best practice increasingly demands rigorous modelling techniques. This webinar will demonstrate an advanced process modelling approach to accurately assess the design temperature of flare headers.
Flare header design temperature
Recorded:
June 18, 2015
Accurately assess flare system capacity using dynamic analysis
(contact PSE for access)
Traditional flare modelling assumes that the header and knockout drum are at steady-state conditions. A more rigorous, fully dynamic flare model can be used to produce more efficient designs, or to demonstrate the sufficiency of existing systems. In this webinar, with reference to case studies, we show how the transient behaviour of the flare system can be accurately predicted for blowdown events, avoiding unnecessary modifications and saving tens of millions of dollars in capital expense.
Flare system capacity
Recorded:
March 18, 2015
Compression train optimisation using Advanced Process Modelling
This webinar describes an approach to rapidly determine the optimal design parameters of a compression train using rigorous model-based optimisation methods. The approach makes it possible to accurately determine trade-offs between capital expenditure and operating costs. Application examples include LNG, EOR and waste heat recovery with Organic Rankine Cycle.
Compression train optimisation
Recorded:
July 17, 2014
Advanced Modelling of Relief Systems
(contact PSE for access)
An emergency pressure relief incident is over in minutes. Do you really know what happens during that critical time? How much capacity can your flare network REALLY handle? Do extreme cold transient temperatures place your system's integrity at risk, and if so, for how long? This webinar demonstrates our validated approach to answering these questions using gFLARE® technology.
Advanced Modelling of Relief Systems
Recorded:
March 21, 2013
Oil / Gas Separators
(contact PSE for access)
PSE Oil & Gas combines gFLARE® and CFD for safe design and operation of flare system knock-out drums.
Oil - Gas Separators
Recorded:
July 19, 2012
Vessel and System Blowdown for Safe Design and Operation
(contact PSE for access)
High-fidelity dynamic modelling can result in a considerable reduction in capital expenditure while simultaneously improving process safety. Explore how rigorous blowdown studies determine accurate temperatures to inform materials-of-construction decisions.
Blowdown Analysis
Recorded:
November 19, 2013

Power & CCS

Digital technologies supporting Carbon Capture and Storage development in Japan
This webinar will cover how state-of-the-art model-based engineering techniques can used to guide R&D efforts in CO2 capture, reduce Capital Expenditure of CCS projects and optimize dynamic operation of CCS chains.
CCS Developments in Japan
Recorded:
March 23, 2016
Whole-chain System Modelling for Carbon Capture and Storage
Design and operation for safe, commercially-viable CCS chains involves many techno-economic trade-offs between diverse stakeholders. In order to proceed to commercial-scale operation with confidence, many questions need to be answered, with decisions based on accurate quantification. System-wide modelling is the key enabling technology for such analysis. This webinar demonstrates the benefits of system modelling to owner-operators, process vendors, engineering companies and equipment vendors.
Whole Chain CCS
Recorded:
April 4, 2013
Model-based Economic Optimisation of CO2 Compressor Train Design & Operation
Compressor trains are typically designed in an iterative fashion using heuristics rather than true optimisation techniques. Commercially-viable Carbon Capture & Storage chains will require flexibility and economic optimisation that typical design techniques cannot deliver. Model-based economic optimisation accurately quantifies the effects of design and operational choices, and replaces the current iterative design practice with a single-step procedure.
Economic Optimisation of CO2 Compressor Trains
Recorded:
December 12, 2013

Fuel Cells & Batteries

Fuel cell system design: Making the most of experimental data
Fuel cell designers and system manufacturers face the challenge of interpreting large volumes of experimental data in order to design and optimise their products. This webinar focuses on how data can be processed to uncover precision details of cell, stack and system performance. The complementary use of experimental data and validated mathematical models in the life cycle of fuel cell system design brings to light design limitations and provides a basis for more effective experimentation and optimisation.
Fuel Cells
Recorded:
February 19, 2015

Wastewater Treatment

New techniques for optimising industrial and urban wastewater systems
Wastewater systems optimisation based on high-fidelity process models has been shown to reduce plant energy consumption by up to 40% while maintaining water purity standards. This webinar demonstrates how plant operators can run efficient, effective industrial and urban wastewater treatment plants that can adapt to any change in incoming pollutant load, power and chemical costs, effluent purity standards or environmental regulations. It also illustrates how operators can accurately determine the effect on plant operation of upgrades and retro-fits, using the retro-fit of a bio-filtration process as an example.
Wastewater
Recorded:
June 8, 2016
Model-based optimisation of wastewater systems
Wastewater systems optimisation based on high-fidelity process models has been shown to reduce plant energy consumption by up to 40% while maintaining water purity standards. This webinar demonstrates how plant operators can run efficient, effective wastewater treatment plants that can adapt to any change in incoming pollutant load, power and chemical costs, effluent purity standards or environmental regulations. It also illustrates how operators can accurately determine the effect on plant operation of upgrades and retro-fits, using the retro-fit of a bio-filtration process as an example.
Wastewater Systems
Recorded:
June 25, 2014

Model Development & Deployment

Recovering investment and increasing value from legacy models
Many companies have valuable corporate knowledge captured in legacy process models. Some models are written in general purpose programming languages such as FORTRAN or C++, some are in overextended spreadsheets, and others are held hostage in simulation environments that are no longer actively supported. This webinar provides a step-by-step approach to move valuable models from legacy applications to a modern modelling platform.
Legacy Models
Recorded:
February 15, 2017
Teaching process modelling in chemical engineering - perspectives from academia and industry
Process modelling plays an ever-increasing role within process organisations, with initiatives such as Smart Process Manufacturing placing models at the heart of process design and operation. However the teaching of modelling in university undergraduate courses often lags the demands of industry. One of the key challenges is the time and effort required to develop new courses that cover all relevant aspects, from first-principles, mechanistic modelling to the systematic application of optimisation techniques.
gPROMS ProcessBuilder
Recorded:
December 1, 2016
gPROMS ProcessBuilder: Easy-to-use flowsheeting with equation-oriented power
gPROMS ProcessBuilder combines high-fidelity predictive models with powerful optimisation and global system analysis tools. This webinar describes how the combination helps companies to dramatically accelerate innovation, increasing competitive advantage and creating new value from ´already-optimised´ processes.
gPROMS ProcessBuilder
Recorded:
November 22, 2016
Introduction to gSAFT: Advanced physical property prediction in gPROMS
Accurate prediction of physical properties is an essential component of process modelling. The advent of equations of state derived formally from molecular-level interactions, such as those based on the Statistical Associating Fluid Theory (SAFT), marks a step change in this context. SAFT-type approaches are capable of accurately modelling challenging systems, from small gas molecules to polymers, surfactants and electrolytes, all within a consistent theoretical framework.
Intro to gSAFT
Recorded:
September 14, 2016
10 Reasons to use gPROMS
The gPROMS modeling platform allows you to cover all aspects of model-based engineering from model development and validation to optimization and model deployment. This webinar illustrates 10 key aspects of gPROMS that differentiate it from traditional simulation tools and provide a step-change in available capabilities.
10 Reasons to use gPROMS
Recorded:
February 29, 2013
gPROMS for Custom Modelling
Accelerate first principles model development. This webinar demonstrates the built-in modeling features and powerful solvers that make gPROMS the fastest path between cutting edge research and usable models. The webinar does not cover flowsheeting or other basic uses of gPROMS®.
gPROMS for Custom Modelling
Recorded:
September 13, 2012
Web-based Model Deployment
Generate value across the enterprise with advanced process modeling and Web-based Model Deployment. Model developers gain true revision control and usage tracking, while users retain a ubiquitous and familiar interface. Web-based model deployment respects the needs and responsibilities of both model authors and simulation users.
Web-based Model Deployment
Recorded:
June 7, 2012

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