Originally the AnRep3D graph generator was meant to visualise financial data from annual reports. Recently I realised other values can be visualised the same way. I performed a lot of energy-calculations the last couple of years and it’s clear we all try and get away from fossil fuels, especially coal, because of the climate-change.
Natural gas produces about half the amount of CO2 per unit of energy (let’s say per PetaJoule). It’s still a lot of CO2 and that’s why natural gas is considered to be a “transition” fuel. In the end we will move towards energy-sources without a net CO2 emission at all.
We all know about solar-, wind- and hydro-power but for a lot of countries nuclear power is an important alternative and the operational production of energy doesn’t generate CO2. On top of it there is bio-fuel and other forms of biological materials used as energy-sources.
Because of this set, I decided to use coal for the width of the building (replacing “equity”), oil for the depth and gas + non-fossils as height (revenue in the normal situation). The non-fossil part would become the roof (serving as “profit”) and the yellow part of the height representing gas (in a profit and loss report it would be the “costs” to be subtracted from the revenue to get the profit). Using countries instead of companies, the picture gets completed!
Suddenly we will see “good” and “bad” buildings. If a building is taller, the gas and non-fossil part of the total energy-usage is high. A plump building shows a country is relying on coal and oil. A broad plump building is the worst, because it represents high coal usage. A deep building is about a focus on oil. Of course tall building with a small roof still shows a lot of natural gas consumption and less non-fossil energy. A thick roof could means a lot of renewables but also a lot of nuclear energy (like e.g. in France).
Other choices would have been valid as well. E.g. taking coal for width, but oil+gas for depth. This would have left the height to be used for nuclear (yellow part) and renewables (green roof). We will explore those options in upcoming posts about “the abuse of AnRep3D”. If people are interested, an alternative version of the generator could be made available, called something like Energy3D.
Where do I get my data from? It’s not in the annual reports and countries don’t publish them either. The International Energy Agency however, has very nice charts showing all the energy-flows. Excluding exports, all data can be collected from the chart at the right point. http://www.iea.org/Sankey/ To the top the measure can be chosen: either PetaJoule or MMboe. It doesn’t matter as both are objective units to present amounts of energy. I collected the information for a couple of countries and I will generate a graph. Below an example of the value for oil in France.
For now I didn’t want to leave you without a 3D-graph at all. That’s why I used the free demo-version of AnRep3D (it doesn’t exist anymore, because the full 3D-graph generator is now free and the package can be downloaded even without registration) and created a 3D energy-graph for the UK using it.
Remember: this time the width is energy from coal, the depth is energy from oil, the yellow part of the height is energy from natural gas and the green roof is nuclear + renewables (solar, wind, hydro, bio). All sources were presented as PetaJoules to be able to compare all sources (but MMboe would have done as well). Electric is not a part of the graph as it’s either generated from one of the other sources or the primary form of energy produced by renewables (solar, wind and hydro).