Advanced process modelling using high-fidelity predictive models coupled with experimental or plant data has become standard practice for optimising process design and operation in the chemicals and petrochemicals industries, and for accelerating innovation in pharmaceuticals.
In these sectors, digitalisation initiatives across the R&D – Engineering Design – Operations spectrum are continually pushing the boundaries in terms on what can be achieved via model-based analytical techniques combined with the ever-increasing amount of data available. Nuclear decommissioning, with its unique challenges, can benefit significantly from such practices.
This seminar explores how the nuclear sector and the industry in general can benefit not only from shared, standardised modelling techniques and approaches, but also the introduction of best practices from other industry sectors. This can help to accelerate innovation while ensuring a consistent and co-ordinated approach between R&D, operators, consultancies and engineering companies. The theory is illustrated with current process modelling applications from organisations such as Sellafield Ltd, National Nuclear Laboratory and DBD. The Nuclear Decommissioning Authority will provide their take on the necessity for adopting advanced process modelling.
Mark Matzopoulos, Process Systems Enterprise
|09:50||Modelling & Analysis in Nuclear Decommissioning: Robust insights through standard practices
Nikos Adamidis, Nuclear Decommissioning Authority
Nikos Adamidis, from NDA’s Modelling & Analysis team, will outline the NDA’s perspective on the importance of a standardised approach to providing analytical insights to decision makers, and how the process can be fast-tracked by the adoption of evolving and established best practices from other sectors. This will be complemented by a discussion led by the NDA in the afternoon.
|10:10||Bringing the benefits of recent advances in process modelling in other sectors to decommissioning
Costas Pantelides, Process Systems Enterprise
High-fidelity modelling is at the heart of major digital design initiatives by the pharma industry, such as ADDoPT, the optimisation of large-scale process designs in the petrochemicals industry, and recent digital operations initiatives for monitoring, forecasting and real-time optimisation. Costas Pantelides, PSE MD and a professor at Imperial College London describes some of the recent innovations being driven by the digitalisation wave, and their potential impact for the decommissioning industry.
|11:10||Nuclear effluents abatement: Integration using advanced process modelling
Iain Docherty, Wallis O'Brien, Sellafield Ltd
Sellafield is continuously developing and utilising a diverse range of models to support our mission of High Hazard Risk Reduction. These are integrated and aligned at all levels of the organisation in order to provide the most suitable output for business requirements.
Within our modelling portfolio, the versatility of gPROMS ModelBuilder has allowed us to connect process engineering models with a wide range of software packages, such PHREEQC and MATLAB, in order to create bespoke solutions for our industry.
The presentation will focus on both these aspects and their role within Sellafield.
|11:50||Advanced process modelling applications: Supporting nuclear R&D and plant operations
Jonathan Austin, Jonathan Macdonald-Taylor, National Nuclear Laboratory
NNL describe how advanced process modelling is applied at different length scales within the organisation, from bench-top experiments to full-scale nuclear plants, demonstrated by 2 applications: rapid processing of data from lab-scale ion exchange experiments; and reconfiguring an evaporator within an existing nuclear reprocessing plant.
|13:40||Integrating gPROMS into a wider view of nuclear site strategic support
Devesh Shete, DBD
Over many years gPROMS has shown itself to be the ideal tool for modelling a range of nuclear plant and processes and embedding a detailed view of chemistry and materials science to provide accurate and reliable predictions of future performance.
However, this is for many site stakeholders only part of the picture. We at DBD have been working with a range of customers, to provide strategic analysis tools that take advantage of the strengths of gPROMS described, but help customers to understand the impact on cost and resource management. We will provide a number of examples from the UK, US and Japan that show this connected approach.
|14:20||Using global system analysis to systematically explore the process decision space and reduce uncertainty and risk
Mayank Patel, Process Systems Enterprise
The real value of a validated, predictive models is derived from applying analytical tools to explore the decision space systematically, rather than via point solutions. Global system analysis (GSA) allows the comprehensive exploration of the behaviour of a system over domains of any user-selected subset of its input variables ('factors'), and output variables ('responses') rapidly and on a large scale. This provides a quick and easy way to explore the complex process design and operational decision space systematically using high-fidelity models to identify areas of risk and uncertainty, rather than via point activities using repeated simulation runs.
|15:00||Q&A & discussion, facilitated by the NDA
For any queries, please contact Lylia Djebaili