Aurora is ideal for lifecycle analysis and resource capacity expansion optimization studies.

Exceptionally fast, this transmission-constrained model uses market fundamentals to forecast marginal prices in each market zone over long-term planning horizons.

With its advanced logic, Aurora uses market economics to determine the long-term resource capacity expansion mix under varying future conditions including fuel prices, available generation technologies, environmental constraints, and future demand forecasts. Its recursive optimization process identifies the set of resources among existing and potential future resources with the highest and lowest market values to produce economically consistent capacity expansion and retirement schedules. Test Renewable Resource Standards (RPS) under the future conditions simulated.

Features include:

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