Case Study: ENEL achieves real-time air-pollution forecasting and emissions control with Rogue Wave Software's IMSL Libraries

ENEL - Customer Case Study

Enel, Italy’s national electricity utility, faced the recurring challenge of balancing pollution controls with energy demand—especially during stagnant weather and air inversions that trap sulfur and nitrogen oxides at ground level. To forecast pollutant dispersion and anticipate load changes, Enel turned to Rogue Wave Software’s IMSL Numerical Libraries to process meteorological data and drive atmospheric pollution models.

Rogue Wave Software’s IMSL libraries were used to implement Monte Carlo Lagrangian particle models and statistical processing of ECMWF data, enabling fast, accurate, real-time simulations that could be validated against measurements. The solution let Enel predict ground-level concentrations, inform operational decisions (for example switching to taller stacks or adjusting generation), and successfully reconstruct long-range events such as the Chernobyl plume—delivering measurable improvements in forecasting accuracy and operational responsiveness.

Enel

Giuseppe Brusasca

Research Scientist