The vendor is required to provide generation resource portfolio modeling and risk management solution for energy portfolio planning, risk management, and optimization for its municipal electric utility, Silicon Valley power (SVP).
1. Forecasting services:
• Ability to provide forecasts of load pattern, long-term and short-term price forecasts of energy, natural gas, ancillary services, renewable energy credits (RECS) pcc1, and resource adequacy (RA).
2. Production cost modeling:
• Accurate calculation of total, average, and marginal costs to serve load.
• Stochastics: utilize monte Carlo analysis to carry out multiple simulations designed to evaluate uncertainties associated with, but not limited to, market prices, load, hydro conditions, weather patterns, and among others.
• The software should have the capabilities to:
o Model and optimize resources such as battery energy storage, natural gas, geothermal, renewable energy resources, and hydroelectric.
o Simulate battery energy storage and generation unit dispatch across different scenarios such as outages, transmission constraints and availability, energy and fuel prices, weather pattern, and load.
o Conduct analysis on price differentials across geographical areas such as trading hubs, pricing nodes and load aggregation points.
o Conduct analysis for a period up to twenty (20) years.
o Reporting and analysis of cost drivers.
3. Thermal dispatch optimization:
• Hourly and sub-hourly optimization of thermal plant resources, considering fuel prices, variable O&M costs, GHG obligations, heat rates, and market power prices.
• Ability to define and enforce operational constraints (min/max runtime, etc.).
4. portfolio management:
• Real-time tracking and analysis of yearly, monthly, and hourly long and short positions.
• Scenario analysis and simulation for potential transactions.
• Automated recommendations for portfolio adjustments.
5. Risk metrics:
• Comprehensive calculation and reporting of key risk metrics, including mark-to-market (MTM), net position at risk (NPAR), cash flow at risk (CFAR), and value at risk (var).
• Stress testing and scenario analysis of risk metrics.
6. Battery storage optimization:
• Intelligent bidding instructions to maximize ROI for battery storage assets.
• Real time monitoring and feedback.
7. Data integration:
• Ability to import and export data from various sources (market data, internal systems, etc.)
• API integration capabilities.
8. Reporting and analytics:
• Customizable reporting dashboards.
• Ability to export data in various formats.
- Contract Period/Term: 5 years
- Questions/Inquires Deadline: October 9, 2025
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