EER Load Shapes

This repository holds the workflow for producing load shapes with data from EER for use with the ReEDS-2.0 model.

In order to use the resulting load shapes. The desired scenario files must be copied to the ReEDS-2.0/inputs/load directory.

Set up

After cloning this repository, set up a Conda environment using

conda env create
activate eer-process

[NOTE!] The workflow requires users have 7zip installed.

Workflow Steps

1. Update the file UCS_load_profile_scaling/scaling_inputs_MWh.csv:

   This file contains the columns

   • scenario: The relevant EER scenario to modify
   • subsector_group: The subsectors to group together and rescale. E.g., "data center cooling" and "data center IT".
   • year: The modeled year
   • A column for each state + Washington, D.C. with values representing the total load for the combined subsectors identified in subsector_group in MWh.

2. Run the script UCS_load_profile_scaling/main.py in your terminal or command prompt with

   python main.py

   The resulting files will be stored in a new folder called UCS_load_profile_scaling/scaled_shapes.

3. Run the script scripts/generate_scenarios.py with

   python eer_to_reeds_UCS.py`

   This script takes scaled input data from EER and

Snakemake Workflow

The full workflow is shown in the figure below.

Credits

The script in UCS_load_profile_scaling was courtesy of @ryandrewjones from Evolved Energy Research.