With the work plan finalized, the MWG will establish the precise parameters and assumptions for your study’s scenarios. These parameters and assumptions will likely be based on the scenarios and sensitivities you identified previously, as well as the specific needs and capabilities of the model or models you have chosen. They should be validated and approved by the TRC.
A BAU scenario depends on a variety of assumptions about future market operations, technology, and economic conditions.
If possible, a BAU scenario should establish assumptions about demand, generation, and transmission in future years and be based on existing energy sector, power sector development, or integrated resource plans. This will ensure your scenarios reflect your power system’s most likely future. When defining your BAU scenario, consider future electricity demand, transmission, conventional generation additions and retirements, renewable energy plants, and more.
Read Excerpt: Pages 20-21 of Variable Renewable Energy Grid Integration Studies: A Guidebook for Practitioners by NREL.
The creation and execution of four to five high renewable energy scenarios is central for your grid integration study. These high-renewable energy scenarios can be tailored to explore a range of potential renewable energy goals.
If you are running a capacity expansion analysis, these analyses can define your renewable energy scenarios and produce the high-renewable energy scenarios that can be further analyzed for operational feasibility and reliability in production cost or power flow analyses. If your grid integration study does not contain a capacity expansion analysis, the MWG and TRC can define a renewable energy scenario using a variety of factors.
Read Excerpt: Pages 20-21 of Variable Renewable Energy Grid Integration Studies: A Guidebook for Practitioners by NREL.
A sensitivity analysis involves considering a scenario with an alternative set of assumptions about operational practices, policies and incentives, market designs, and more. A sensitivity is applied to all or select scenarios, and the results are compared to the scenarios without sensitivities.
Sensitivity analyses are a key element of a grid integration study because they provide a way to assess the robustness of findings from the grid integration study. They also provide you the ability to identify and prioritize policy or operational enhancements that will enable cost-effective renewable energy integration.
Read Excerpt: Pages 21-22 of Variable Renewable Energy Grid Integration Studies: A Guidebook for Practitioners by NREL.
The National Renewable Energy Laboratory developed this presentation as a template to help a TRC define its study scenarios and sensitivities.
Read: Facilitated Discussion Template to Define Scenarios for a Grid Integration Study by NREL.
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