New Directions and Software Tools Within the Process Systems Engineering Ecosystem
Process Systems Engineering (PSE) provides the advanced conceptual framework and software tools to formulate and optimise well-considered integrated solutions that could accelerate the sustainability transition within the industrial sector. The landscape of advanced PSE is poised to undertake a considerable transformation with the rise in popularity of open-source and script-based software platforms with predictive modelling capabilities based on modern mathematical optimization techniques. This paper highlights three leading equation-based platforms-IDAES, Modelica, and GEKKO-that are increasingly utilised for the modelling, simulation, and optimisation of complex systems within the advanced PSE domain, alongside the strengths and limitations of each approach. Following this, we present a framework through which emerging techniques within the domain of Software Engineering could be leveraged to address these limitations, with a vision of improving the accessibility and flexibility of complex modelling tools for industrial partners.
Authors
- Brent R. Young (ORCID: https://orcid.org/0000-0002-5947-955X)
- Isaac Severinsen (ORCID: https://orcid.org/0000-0001-6524-1962)
- Dan Gunter (ORCID: https://orcid.org/0000-0002-2779-2744)
- Mark D. Apperley (ORCID: https://orcid.org/0000-0003-1588-1595)
- Ben Lincoln (ORCID: https://orcid.org/0000-0002-0314-3109)
- Oluwamayowa Amusat (ORCID: https://orcid.org/0000-0002-4569-5729)
- John D. Siirola
- Bethany L. Nicholson (ORCID: https://orcid.org/0000-0003-4572-577X)
- S. M. Burroughs
- Ahsan Adeel (ORCID: https://orcid.org/0000-0001-9153-6756)
- Andrew Lee (ORCID: https://orcid.org/0000-0002-0631-2537)
- T. G. Walmsle
Institutions
- Lawrence Berkeley National Laboratory (US)
- University of Auckland (NZ)
- Sandia National Laboratories (US)
- National Energy Technology Laboratory (US)
- University of Waikato (NZ)
Publication Details
- Journal
- Systems and Control Transactions
- Published
- 2025-06-30
- DOI
- https://doi.org/10.69997/sct.156838
- Citations
- 1
- Primary Topic
- Fault Detection and Control Systems
- Type
- article
- Field-Weighted Citation Impact
- 1.21