We are especially grateful to Walter Short who first envisioned and developed the WinDS and ReEDS models. We also thank the NREL analysts who provided input on the technology costs, assumptions, and methodologies in ReEDS, including

This report is one of a suite of products aiming to provide a consistent set of technology cost and performance data, and to define a scenario framework that can be used in forward-looking electricity analyses by the National Renewable Energy Laboratory's (NREL) and others. The long-term objective of this effort is to identify a range of possible futures for the U.S. electricity sector that illuminate specific energy system issues by (1) defining a set of prospective scenarios that bound ranges of technology, market, and policy assumptions and (2) assessing these scenarios in NREL's market models to understand the range of resulting outcomes, including energy technology deployment and production, energy prices, and carbon dioxide (CO2) emissions. This effort, supported by the U.S. Department of Energy's (DOE) Office of Energy Efficiency and Renewable Energy (EERE), focuses on the electric sector by creating a technology cost and performance database, defining scenarios, documenting associated assumptions, and generating results using NREL's Regional Energy Deployment Systems (ReEDS) and dGen models (see

No abstract

No abstract

We gratefully acknowledge the many people whose efforts contributed to this report. The ReEDS modeling and analysis team at the National Renewable Energy Laboratory (NREL) was active in developing and testing the ReEDS model version 2019. We also acknowledge the vast number of current and past NREL employees on and beyond the ReEDS team who have participated in data and model development, testing, and analysis. We are especially grateful to Walter Short who first envisioned and developed the Wind Deployment System (WinDS) and ReEDS models. We thank