Forecast capacity additions considering uncertain (stochastic) variables and generate adaptable plans that reduce costs across many possible future outcomes.
Analyzing decarbonization policies across the globe requires tools to forecast capacity additions that help meet those policy goals both efficiently and reliably. With the current energy marketplace challenges and industry needs, a stochastic approach acknowledges uncertainty and optimizes across a range of possible futures. The PlanOS* Capacity Expansion module improves the ability to forecast capacity while considering uncertainties.
The Capacity Expansion module prioritizes interoperability and is engineered to work across the Power Flow, Resource Adequacy, and Production Cost modules of PlanOS. Explore how our stochastic analysis engine analyzes and plans for an evolving energy landscape.
Prepare for the energy transition. Develop more robust plans acknowledging the uncertainties in the energy transition and navigate across a wide range of possible futures.
Data within reach. Conduct hourly chronological simulations of secure, least cost, grid commitment and dispatch.
Incorporate variable grid conditions. PlanOS respects constraints on transmission, generation (e.g., min-up), and energy and emission limitations.
Transfer analysis. Simplify transmission topology using operating transfer limits and constrain the power flow between major load areas of your system.
Ready-made datasets. Model the Eastern Interconnection, Western Electricity Coordinating Council, ERCOT, and over 50 countries globally.
Optimize your workflow. Automate reports, simulations, and data management.
An integrated experience
Experience end-to-end grid planning with a unified dataset and a native, simplified infrastructure by leveraging capabilities of the PlanOS modules formerly known as PSLF, MARS, and MAPS.
Contact us
*Trademark of GE Vernova and/or its affiliates.