ProSimPlus Python API opens new horizons for biofuels
The new API allows engineers to run the full ProSimPlus simulation engine directly from Python, eliminating the constraints of traditional graphical interfaces and enabling far greater automation, scalability and integration with advanced digital tools.
As biofuels producers push to optimise complex, multi‑step conversion pathways — such as fermentation, gasification, hydroprocessing and carbon‑intensive separation stages — the ability to automate large simulation batches and embed models into in‑house optimisation frameworks becomes essential.
Python has become the dominant language for data science, machine learning, and process optimisation, making this integration especially valuable for R&D teams and plant engineers seeking to accelerate innovation cycles.
By exposing ProSimPlus through a Python API, Fives ProSim enables users to generate, modify, and execute simulations programmatically, supporting high‑throughput scenario analysis and digital‑twin development.
This is particularly impactful for biofuels applications where feedstock variability, reaction kinetics, and energy‑intensive purification steps require continuous optimisation.
The architecture preserves the full power of the ProSimPlus engine while allowing seamless coupling with optimisation algorithms or AI models to reduce study times and improve process efficiency.
Olivier Baudouin, president of Fives ProSim, highlights the milestone as a first in the field and a reflection of the company’s long‑standing commitment to innovation.
Already deployed in pilot projects, the ProSimPlus Python API is positioned to become a key enabler for next‑generation biofuel process design, offering unprecedented flexibility, speed, and integration capability for an industry undergoing rapid transformation.






