SAInt advances energy planning by allowing users to model coupled energy networks and analyze the challenges and synergies at their interface.
SAInt’s users can run simulation- and optimization-based models to quantify the trade-offs between costs and reliability and study the intersection of markets and physical systems.
SAInt integrates meteorological datasets with energy network models to capture renewable energy sources' variability with high spatial and temporal resolutions.