Possible uses for the model include:
- Educating students about the renewables transition
- Educating state utility regulators about how capacity planning models work, so they may better understand utility integrated resource plans
- Evaluating the effect of a national renewable portfolio standard, or a carbon price
- Being the first one on your block to run this model of the entire U.S. electric grid.
Geothermal energy comes from heat stored deep within the Earth.
Much of what you need to run the model is provided here, including a link to download the model, plus documentation and a user guide—look for this image:
Also needed are a powerful computer, as described here under “Model Specifications,” along with a license for the GAMS (General Algebraic Modeling System) software, and an “appropriate solver.” NREL adds that the model is run from the command line and does not currently include a graphical user interface. The good news is that the model is built to work in Windows, and can be configured to run on Unix.
The user guide cautions:
Be deliberate in how you choose model inputs. The ReEDS default values are not necessarily “most likely,” and “high” and “low” input options are not based on specific probabilities of occurrence.
When NREL runs the ReEDS model, it derives cost and performance assumptions for solar, wind, and storage (plus other technologies) from its Annual Technology Baseline (ATB). NREL’s ATB provides low, mid, and “constant” cost projections, yet the mid-case projections for solar costs have been challenged as too high.
NREL will offer a webinar explaining the model and its uses on October 31.
For those who take the plunge, the documentation provides the following diagram, showing what your computer will do once you start the model run. The documentation explains that “ReEDS is structured as a sequence of individual, but interacting optimization problems, each representing a two-year period from 2010 to a maximum end year of 2100.”
One wind turbine can produce enough electricity to power up to 300 homes.