GR4SP Suite: Additional Data and Simulation Results

This entry is for the GR4SP's Suite, a model and simulation tool used to analyse the Victorian electricity system's history and potential future transition pathways. It includes additional input data and simulation results. Most of these files were used or generated with Jupyter Notebook scripts shared in the author's GitHub repository. 

Input data in YAML files include VIC.yaml with input settings for the business-as-usual scenario. Some of these inputs can be changed to achieve different future trajectories. For example, try increasing 25% the basePrice of Brown Coal and check how this could impact future emission trajectories, electricity production from renewable energy, and spot prices.

This entry includes Sobol's sensitivity indices, the Elementary Effects Test (EET) mu* and sigma. The Morris and Sobol sampling results are saved as .tar.gz files with corresponding names. 

The input data and results for the Energy Vulnerability (EV) assessment quantifying the LIHC indicator and the data used for the Sectoral Network Analysis (SNA) (i.e. ActorActorRelV0.8.csv). 

This also includes the results from exploring future pathways of the electricity system using EMA workbench's PRIM, FS and other tools for open exploration (https://emaworkbench.readthedocs.io/en/latest/). The exploration was guided by three scenarios: Low-Carbon Transition (LCT), Just Transition (JT), and Sustainability Transition (ST). Any additional file with BAU in the name includes the results for the Business-as-usual scenario.

This version of the dataset includes a few results of policy mixes to achieve any of the three transition scenarios generated in the Jupyter Notebook ScenariosAnalysis. The zip file "policyMixesResults" contains the .csv file with the outputs for different input changes. These details of the input changes for each file are in the "ScenarioAnalysisOutputDetailsv0.2.xlsx". The outputs of the model for these policy mixes can be found in the zip file "policyMixesFigs".