Unparalleled Insights for
Long-Term Planning
Optimize asset cost, risk, and utilization of generation and DERs in the same Production Cost Model, with an intuitive user interface
Schedule a demoUnparalleled Insights for
An integrated approach to production cost modeling
Utilities, regulators, generators, aggregators, and large customers all need data-driven decision-making to plan for future demand, infrastructure investments, and policy changes. Our Production Cost Modeling (PCM) offering empowers utilities to make informed planning decisions that optimize long-term costs and grid reliability.
Optimize Long-Term Planning
Support strategic planning decisions related to demand growth, capacity expansion, and transmission and interconnection queues. Whether you are developing a 10-year resource plan or assessing new generation technologies, our model provides actionable insights that drive cost-effective and reliable grid expansion.
Assess Market & Policy Scenarios
Develop scenarios that model different load forecasts, fuel prices, and generator characteristics and retirements. Learn how emissions regulations, fuel pricing, and evolving market structures impact dispatch and pricing. Gain insights into market dynamics, including locational marginal pricing.
Engage with Stakeholders
Generate data-driven insights and reports for compliance and investment justification. Designed with regulated and competitive market utilities in mind, our tool supports long-term system planning, investment analysis, and regulatory filings.
Drive Strategic Transformation
Leverage Kevala's Professional and Advisory Services, a skilled team of industry professionals, to enhance platform insights, speed up adoption, and achieve strategic success.
Features
Detailed Power System Modeling
This offering leverages PyPSA to inform hourly dispatch analysis and locational marginal pricing calculation. Result exports are available.
Scenario Analysis
Users can create their own scenarios and compare alternatives using an intuitive user interface. Run frequent experiments and get results back for fast iteration.
Scalable, Cloud-Based Architecture
Our model boasts a 1 hour or less runtime for an entire utility territory.