---
orphan: true
---
# ReEDS training homework

## Task 1: Perform a ReEDS run with the default settings in ERCOT at the BA and county resolutions

### 1. Run the model

1. Create your own branch off main and name it XX_homework where XX are your initials

2. Navigate to the folder where the repo has been cloned on your local machine

3. Open the `cases_examples.csv` file

4. Change the 'ignore' row value to be 1 for all columns except ERCOT_county which you can either set to 0 or leave blank

5. Add a new column with 'ERCOT_BA' in row 1.
   - Copy the contents of rows 2-6 from the ERCOT_county column
   - Replace 'z3109' with 'z134' in row 5 (`GSw_ZoneSet`)
   - Save `cases_examples.csv` in the ReEDS-2.0 folder (you can overwrite the existing file)

6. Open VS Code
   - Open the folder where your repo is located (File -> Open Folder -> navigate to ReEDS-2.0 folder)
   - Open a new terminal and activate the reeds2 environment

7. Start a new run
   - `python runbatch.py`
   - when prompted for case file name, enter `examples`
   - when prompted for how many simultaneous runs you would like to execute, enter 2
   - The 'ERCOT_county' and 'ERCOT_BA' runs should start


### 1. Review the results

1. Navigate to 'ReEDS-2.0/runs/{your run name}/outputs/reeds-report' and open 'report.html'
2. Learn to create your own plots of the results using bokehpivot
   - See [Bokeh Pivot](../postprocessing_tools.md#bokehpivot)

### 1. Create an informal slide deck

Create an informal slide deck with the following results:

- Stacked bar chart of total installed capacity in 2030
  - Include a stacked bar chart of the differences
- Stacked bar chart of total installed firm capacity in 2030
- Stacked bar chat of generation in all modeled years
- Stacked bar chart of total system costs discounted
- Plots of the locational capacity build out by technology (maps of where capacity is located)
- Plots of the curtailment rates


## Task 2: Perform a ReEDS run with enforced decarbonization at the BA resolution in the Western Interconnection

### 2. Run the model

1. Ensure you are on your XX_homework branch, then navigate to the folder where the repo has been cloned on your local machine

2. Open the `cases_examples.csv` file

3. Add a new column with 'Western_BA_Decarb' in row 1
   - Copy the contents of rows 2-6 from the ERCOT_county column
   - Replace 'z3109' with 'z132' in row 5 (`GSw_ZoneSet`)
   - Replace 'interconnect/texas' with 'interconnect/western' in row 4 (GSw_Region)
   - Add 2 additional rows, populating column A with 'GSw_AnnualCapScen' and 'GSw_AnnualCap' in rows 7 and 8 respectively
   - Under the 'Western_BA_Decarb' column, populate these rows with 'start2023_100pct2035' and '1' respectively (leave these rows blank in all other columns)

4. Change the ‘ignore’ row value to be 1 for all columns except ‘Western_BA_Decarb’ which you can either set to 0 or leave blank

5. Save `cases_examples.csv` in ReEDS-2.0 folder

6. Open VS Code
   - Open the folder where your repo is located (File -> Open Folder -> navigate to ReEDS-2.0 folder)
   - Open a new terminal and activate the reeds2 environment

7. Start a new run
   - `python runbatch.py`
   - when prompted for case file name, enter `examples`
   - The 'Western_BA_Decarb' run should start

### 2. Create an informal slide deck

Create an informal slide deck with the following results:

- Stacked bar chart of total installed capacity in 2030
  - Include a stacked bar chart of the differences
- Stacked bar chart of total installed firm capacity in 2030
- Stacked bar chat of generation in all modeled years
- Stacked bar chart of total system costs discounted
- Plots of the locational capacity build out by technology (maps of where capacity is located)
- Plots of the curtailment rates