Rooftop Solar Generation Depiction Via Choropleth Map / Australia

Project Name:  Rooftop Solar Generation Depiction Via Choropleth Map / Australia

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How to Operate:

To operate this visualization, you may click on the map to start/stop playback, and zoom to any location you would like as your playback frame.

 

Project Description:

This interactive choropleth map describes the estimates of actual regional rooftop solar generation in Australia, with a granularity of half an hour.

 

The data is mapped to the ‘plasma’ color scale, where colors to the left indicate low values, and colors to the right indicate high values.

 

 

The data originally was broken down into the different original AEMO regions:

  • NSW1 (New South Wales)
  • QLD1 (Queensland)
  • QLDC (Queensland Central)
  • QLDN (Queensland North)
  • QLDS (Queensland South)
  • SA1 (South Australia)
  • TAS1 (Tasmania)
  • TASN (Tasmania North)
  • TASS (Tasmania South)
  • VIC1 (Victoria)

 

To make for an accurate country wide visualization, values from Queensland and Tasmania were each aggregated together to show their total output relative to the other regions present.

 

We can see after examination of the choropleth map, that the regions with higher populations are generating the most power using rooftop solar installations. In the regions with lower generation values, this could be due to the geographic spread of the regional population, or this could be an indicator that there exist natural or infrastructure related impasses to increasing rooftop photovoltaic output in those areas.

 

Below we can see in more detail the differences between regional generation output as a function of time:

 

 

Using this data, and related governmental datasets, we could examine the causes of this disparity, and identify solutions to address this based on regional features such as weather, population density, population spread, fossil fuel usage, and existing infrastructure. This will allow us to use real world data to address the needs of indiviuals, and the planet as the world continues to increase its renewable energy output and transition away from fossil fuel technology.

 

 

Additional Items:

View Australia Solar Visualization in Jupyter Notebook

Developer(s): Nicholas VanCise, University of Nevada-Las Vegas

 

Data Feeds Employed:

 

Open Source Tools:

JavaScript

D3.js

Jupyter Notebook

Leaflet.js

Matplotlib

 

GitHub: https://github.com/Terbine/projects/tree/master/australia_solar

 

Original Posting Date: 12 September 2020