The below Sankey diagrams both show wood biomass flows for Finland for the year 2013.

The first one was published in the report VTT Technology 237 ‘Sustainability of forest energy in Northern Europe’ by researchers from VTT Technical Research Centre of Finland and Natural Resources Institute Finland (Luke).


Authors of this figure are Eija Alakangas and Janne Keränen. The diagram is oriented top-to-bottom and shows how the 104.4 Mm³ of round wood that grew in Finnish woods in 2013 were used. Basically there are two (three) main pathways, with a lot of arrows branching out to depict certain uses. 38.3 Mm³ of round wood was used in pulp industry, 26.2 Mm³ in the mechanical wood industry. Another 9.5 Mm³ of wood is used directly for energy generation.

The second Sankey diagram seems to be a remake of the above. It was published in a VTT Research Report on ‘Cascading use of wood in Finland – with comparison to selected EU countries’ by Laura Sokka, Kati Koponen, Janne T. Keränen.


Here the overall orientation is left-left-to right. The color scheme seems similar. There are some minor differences in the energy use part (orange and dark red arrows).

The first diagram has some images and comes across a little more playful than the second one. Although they depict the same data, I perceive them quite differently.
Is it due to the scaling or the vertical vs. horizontal orientation? Let me know your impression in the comments please.

The Niche Canada blog ran an interesting piece by Juan Infante-Amate from Unversity Pablo de Olavide in Spain titled ‘The largest tree crop concentration in Europe: The making of olive landscapes in Southern Spain’. It is a summary of research done on the changes in olive cultivation in Andalusia from traditional olive growing in the 18th century to today’s industrialized production.

The post features these three schematic Sankey diagrams. Data is for one specific site:


(licensed under a Creative Commons Attribution-NonCommercial 4.0 International License)

The above are three snapshots of the energy flows of one production site in Andalusia in 1750, around 1900 and today. By relating the final product quantity (FP) to the total input of energy or work (TI) the researchers are trying to measure sustainability with the indicator FEROI. An indeed, “[e]verything suggests that over the course of the history of Mediterranean landscapes these current conditions have been the least sustainable.”

Interesting approach and use of Sankey diagrams to compare a sustainability indicator. References to the full research papers can be found at the end of Infante-Amate’s Niche Canada post.

Denmark’s Energy Flows for the year 2016 were published by Danish Energy Agency (‘Energistyrelsen’).

For detail, I recommend to study the high-quality image of the Sankey diagam in this PDF.

Flows are in petajoule (PJ). Smaller flows are shown with a minimum width, so they are not to scale with the others, but remain visible. Even zero flows are shown, either because there is actually a quantity (less than 1 PJ) that is just rounded, or, because in other years there might be a flow quantity available for them. Arrows arrive at the nodes separately, their flow labels shown inside the node. This feature enhances legibility quite a bit.

Also see this 2012 post on a Denmark 2050 Nuclear Free Energy Scenario.

How much plastic is being recycled, how much is being incinerated, and how much ends up discarded as waste on landfills (or eventually in the oceans)? This Sankey diagram shows the paths that 8300 million tons (or 8.3 billion tons) of plastic produced since 1950 have taken.

Figure (licensed under CC-BY-SA) by Hannah Ritchie and Max Roser at the great ‘Our World in Data’ website under the ‘Plastic Pollution’ topic.

A reader of the blog, Olov, has produced the following video. He calls this a “Living Sankey Diagram”. The background can be found on the Sweco Blog (in Swedish). Basically he suggests to take energy declarations for buildings (‘Energideklarationen’) one step further and have visual energy monitoring for building using realtime data.

Energy consumption of a house is shown over a period of a year with up to 3 or 4 datasets per day. We can see heat (red) and electricity (orange). Not sure about the temperature indication at the top left, possibly meant to be the difference to a default temperature (Olov, if possible, please explain by commenting below).

Main consumers in the building are hot water generation (‘Tappvarmvatten’), room heating (‘Radiatorer’), ventilation and cooling. Some PV cells (‘Solceller’) at times add to the purchased energy (‘Köpt Energi’). The pink flow shows heat recovery (‘Värmeåtervinning’). The building is classified in energy class B.

Here, a data series has been used to produce the Sankey diagrams and then the frames were converted to a video. This makes for a nice effect and allows watching your energy flows in retrospect. For example, the PV cells feed energy mostly during the months, while in the same period heat demand and recovery is very limited.

This was apparently produced using e!Sankey. To really do an energy monitoring and produce the Sankey diagram every couple of minutes, there is a software development kit (SDK) the allows linking to a data source (energy measurement data) and pushing the “living Sankey diagram” to a website. Another example can be found here.

Deltamarin Ltd, a Finnish maritime engineering and consulting firm has developed a simulation and analysis tool, that allows to study the energy efficiency of ships. The model takes into account not only the vessel speed and fuel consumption, but also the secondary on-board electricity consumers and waste heat recovery. Results are shown in a Sankey diagram like the one below.


The Sankey diagram in this pic doesn’t show any numbers or unit of flow, so we can only conclude from the arrow magnitudes that about 50% of the energy is lost as heat at the engine (some of which is recovered for heating of water).
I am not sure about the propulsion being electric though.

The design of the diagram is rather crude and diagonal lines are visibly pixelated. But nevertheless it seems like a good way to get the energy efficiency model result data across other than in a table.

Watch this video where a Deltamarin engineer explains the simulation model and also the Sankey diagram.

Botswana, a country with just over 2 million population, borders South Africa to the North. Would you be able to tell its capital?

Nevertheless, a Sankey diagram with the energy balance of Botswana can be found on the web. Mike Mooiman, a professor at Franklin Pierce University, New Hampshire and a former visiting scholar at University of Botswana featured it on his ‘Energy in Botswana’ blog. These are the energy flows for the African country for 2015 (based on IEA data).


Flows are in terajoule (TJ) and overall energy demand was 120,138 TJ. Biomass (wood) is the predominant fuel in private households (e.g. for cooking). Locally mined coal accounts for 40% of the primary energy and is used for electricity generation with an efficiency factor of below 30%. Imported oil products account for over 40% of the energy consumed (mainly for transportation).

The 2012 energy balance for Botswana is also available on Mike’s blog.

A quick casual-Friday post featuring a distribution diagram of scrap (waste) exported from the United States in 2017. Based on data from the Institute of Scrap Recycling Industries (ISRI). Submitted by a reader of this blog.