Quick Start Guide¶
If you’re new to Scout, this is the right place to get started. Steps for running a Scout analysis from start to finish are listed below; additional guidance on certain steps can be found in linked tutorials.
1. Setup Scout and prerequisites¶
2. Create new ECM definition(s) (optional)¶
Visit the Scout web interface’s ECM Summaries Page. Click the “Add New ECM” button towards the top of the page and follow the steps for creating a new ECM definition; the ECM definition will be downloaded to your computer. Move the downloaded ECM to the ./ecm_definitions folder (see Web Interface Tutorial 2: Creating and editing ECMs for additional guidance).
Alternatively, follow Local Execution Tutorial 1: Creating and editing ECMs to develop your own ECM definition(s) using a text editor.
3. Open the command line interface¶
Open a Terminal window (Mac)  or command prompt (Windows)  and navigate to the Scout project directory (shown with the example location ./Documents/projects/scout-0.1 – substitute the path to your Scout directory) by entering the following command line argument:
4. Prepare ECMs for analysis¶
Enter the following command line argument (see Local Execution Tutorial 2: Preparing ECMs for analysis for additional guidance):
py -3 ecm_prep.py
Only new or edited ECM definitions are updated in this step.
5. Modify active list of ECMs (optional)¶
Enter the following command line argument (see Local Execution Tutorial 3: Modifying the active ECMs list for additional guidance):
py -3 run_setup.py
6. Run analysis on active ECMs¶
Enter the following command line argument (see Local Execution Tutorial 4: Running an analysis for additional guidance):
py -3 run.py
7. View results plots and data¶
Visit the Scout web interface’s Analysis Results Page. Click the “Custom Results” dropdown arrow towards the top right of the page, then click “Upload File” to upload results from your Scout run in the previous step (data found in ./results/plots/ecm_results.json ). Once the data are uploaded, click through the “Energy,” “CO2,” “Cost,” and “Financial Metrics” tabs towards the top of the page to interactively visualize your results (see Web Interface Tutorial 3: Viewing and understanding outputs for additional guidance).
Alternatively, open the ./results/plots folder to view local plots of your results and access underlying data in Excel (see Local Execution Tutorial 5: Viewing and understanding outputs for additional guidance). Local plots are organized in folders by adoption scenario and plotted metric of interest (i.e., ./results/plots/(adoption scenario)/(metric of interest)). Raw data for each adoption scenario’s plots are stored in the XLSX files beginning with “Summary_Data.”
|||To open Terminal, press ⌘-space on your keyboard, begin typing “terminal” in the search bar that opens, and select Terminal from the list of programs that appear.|
|||To launch the command prompt, press Win+R on your keyboard, type “cmd” in the search bar that opens, and press Enter.|