What it is
A Python pipeline that turns Aspen Plus from an interactive tool into an automated engine — DOE generation, parallel simulation, surrogate training, and optimization, end to end.
Highlights
- 1,575 simulations completed in hours instead of weeks of manual clicking
- COM-driven engine with failure isolation — one crashed case never aborts the run
- Surrogate comparison (RF · GB · NN · GP) feeding Bayesian and NSGA-II optimizers
- Configuration-driven: a new study is a new YAML file, not new code
- Powers the CCPP-LOHC Optimization study end-to-end