Process Systems Enterprise: APM Forum 2019 focus on digitalisation for the process industries
Digital design and digital operations were the key focus at the 2019 Advanced Process Modelling (APM) Forum in London, where leading process industry organisations presented on how advanced modelling technologies are helping to create value in applications ranging from accelerating time-to-market of new pharmaceuticals to maximising production from multiple oil & gas processing sites simultaneously.
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Prof. Costas Pantelides describes the benefits of digital process design and operations based on the deep process knowledge embedded in high-fidelity models (Photo: Business Wire)
Introducing the event, Prof. Costas Pantelides, MD of conference host Process Systems Enterprise (PSE), said that technologies that combine prior knowledge, in the form of physics-based models, with laboratory or plant data, or use accurate nonlinear surrogate models derived from large-scale physics-based models, now provide unprecedented opportunities for exploring the design decision space and incorporating deep process knowledge in operational decision systems.
Keynote speaker Bob Docherty, Strategic Lead for Digital Design at Pfizer, presented a global vision for digitalisation in the pharma industry that enables a level of clarity in manufacturing processes never available before. Mathias Oppelt, head of simulation at Siemens, described how Siemens is bringing to market intelligent digital operations tools, capable of generating value daily, that incorporate high-fidelity process models using PSE’s gPROMS technology, as well as integrated engineering systems capable of generating process digital twins automatically during the engineering phase.
In the Formulated Products track, presenters from GSK, Pfizer, Eli Lilly, AstraZeneca, BMS, UCB and Novo Nordisk described a range of applications built on PSE’s gPROMS FormulatedProducts modelling environment: end-to-end digital design applications to enhance drug substance and drug product R&D and manufacture, the increasing application of mechanistic models in manufacturing for control scheme development, process monitoring and soft-sensing, and the use of digital twins for optimising fermentation processes. PSE and Centre of Excellence partners NIZO launched the new gPROMS Food capability for modelling food products and processes.
In the Energy & Chemicals track, integrated petrochemicals manufacturer SCG Chemicals described the use of digital twins for rapid-response operator decision support for their vinyl chloride monomer (VCM) operations. DNV GL showed their COSSMOS digital design environment for integrated ship systems, and RWTH Aachen described how optimisation technology now enables simultaneous design of process, equipment and working fluid in organic Rankine cycles and CO2 absorption processes. Siemens demonstrated a digital twin for integrated wells-to-facilities optimisation of oilfield production embedded in a Siemens XHQ dashboard, for operations room decision support.
PSE launched major new capabilities including enhanced digital design capabilities in the forthcoming gPROMS 6 modelling platform, where high-performance computing (HPC) capabilities now enable execution of complex models on massively parallel clusters to allow rapid and effective exploration of large decision spaces, and gPROMS Properties, PSE’s new properties and advanced thermodynamics platform. The new gPROMS Digital Applications Platform for building, testing and deploying robust and efficient digital applications within plant automation or management systems was demonstrated using a nonlinear model predictive controller for polymer production. Also announced were the new gPROMS Web Applications System for delivering models to ‘non-modelling’ users across the organisation via web interfaces, and the new gPROMS ProcessBuilder which allows seamless workflows from steady-state to dynamic modelling within the same environment.
Says Pantelides, “several strands of core technology are now coming together to accelerate digital design and to bring exciting new capabilities to operations. High-fidelity process models are at the heart of this. It’s all moving very rapidly”.
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