Burroughs, StephenLincoln, BenjaminAdeel, AleezaSeverinsen, I.Lee, A.Amusat, O.Gunter, D.Nicholson, B.Apperley, MarkYoung, B.Siirola, JWalmsley, Timothy Gordon2026-08-242026-08-242025Burroughs, S., Lincoln, B., Adeel, A., Severinsen, I., Lee, A., Amusat, O., Gunter, D., Nicholson, B., Apperley, M., Young, B., Siirola, J., & Walmsle, T. G. (2025). New directions and software tools within the process systems engineering ecosystem. Proceedings of the 35th European Symposium on Computer Aided Process Engineering (ESCAPE 35), 4, 430-436. https://doi.org/10.69997/sct.1568382818-4734https://hdl.handle.net/10289/18584Process 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.enAttribution-ShareAlike 4.0 Internationalhttp://creativecommons.org/licenses/by-sa/4.0/computer scienceindustry 4.0process designprocess synthesisPyomosimulationNew directions and software tools within the process systems engineering ecosystemConference Contribution10.69997/sct.15683846 Information and Computing Sciences4612 Software Engineering