SAInt advances energy planning by allowing users to model coupled energy networks to quantify their interdependencies and synergies and plan their integration and coordination.
SAInt’s users can run physical simulations and optimization 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.
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