Who: IOUs, publics, co-ops and municipal utilities.
What for: Integrated resource and transmission planning, budgeting and net power cost analysis, and detailed generator analysis.
For lifecycle analysis and resource optimization studies, AURORA is the ideal model. Exceptionally fast, AURORA's transmission-constrained model uses market fundamentals to forecast hourly marginal prices in each market zone. AURORA chooses from new resource alternatives and iteratively compares the values of new resource and demand-side options to existing resources, optimizing the set of new units.
AURORA’s speed and flexibility make it easy to create coordinated, optimized forecasts of capacity expansion schedules for multiple market areas. AURORA’s transmission-constrained, chronological dispatch algorithm estimates prices and dispatches using hourly demands and your resources’ real operating characteristics, forecasting each unit's economic value over time.
AURORA’s advanced dispatch logic also uses market economics to determine long-term resource positions. AURORA’s recursive optimization process identifies the set of resources with the highest and lowest market values, producing economically consistent capacity expansion and retirement schedules.
Evaluate your portfolio
Need an accurate view of your portfolio’s value? Using market fundamentals and advanced dispatch logic, AURORA is fast enough for you to perform multiple long-term model runs. You will be able to evaluate completely when; and under what conditions; the value of your portfolio.
AURORA also calculates net power costs and system costs for individual resources, helping you determine how to position a contract or value a new resource in the market.
- Optimizes expansion capacity across all zones
- Constructs new zones and consolidates multiple zones easily
- Provides deeper, clearer analyses of resource options under various conditions
- Solves interdependencies between prices and changes in resource schedules
- Determines the optimal expansion plan for an entire system
- Factors in price-induced curtailments