Energy flows in a waste incinerator facility of MVR-HH (‘Mullverwertung Rugenberger Damm’) in Germany are depicted as Sankey diagram on their website.

Flows are for 2013 in MWh per year (MWh/a). The hot red area is the boiler (‘Kessel’), followed by the turbine. Almost half of the energy is used as process steam and for district heating (‘Warmwasser Neugraben’). Losses branch out vertically.

Steve from posted a comment calling attention to a new free web app they have launched on their website.

This is a straight-forward drawing tool for simple left-to-right distribution diagrams. On the website just pick a node (called “budget” there) and an arrow (called “transfer”), add amount, choose color. The elements can be dragged freely in the browser window. Easy zooming with mouse wheel or double-click on an element. The ‘Save Image’ command from the browser’s context menu lets you store a PNG file.

The motto of is to “Visualise public budgets. Rationalise politics. Tackle Corruption. Eliminate waste. Fight bureaucracy.” The Sankey diagrams everyone can produce with this tool aim at visualizing financial transfers in US$.

According to the blog this is a first early release of the open source Sankey app for desktop UI. Touch friendly editing for mobile devices is under development.

Added to the list of Sankey software.

Happy New Year to all followers! Kicking off with a distribution diagram (aka ‘alluvial diagram’) for cobalt (chemical element ‘Co’) by the Geospatial Engineering Research Group at the University of Newcastle, taken from the article ‘Sankey diagram of cobalt life-cycle’ on their blog.

This shows the mining, refining, manufacturing and use stages for cobalt broken down by continent.

Not sure what the orange and green arrows stand for, or what the unit is. Also, there seems to be a mismatch between the input and the output quantitites at some nodes (check, for example, cobalt flows received from mining countries for refining in Europe compared to the deliveries to the manufacturing stage).
This could be due to mismatches in data from the different sources, or caused by changes in cobalt stocks (i.e. Europe mining and importing less but reducing stocks from previous year, thus being able to ship more to manufacturing in the same period). Maybe one of the authors wishes to comment?

The scientific paper ‘A Sankey Framework for Energy and Exergy Flows’ by Kamalakannan Soundararajan, Hiang Kwee Ho, Bin Su (Energy Studies Institute, National University of Singapore) features these two Sankey diagrams.

Energy flow in an open rack vaporiser (ORV):

Exergy flow in an open rack vaporiser (ORV):

The authors explain that “ORVs regasify liquefied natural gas (LNG) from temperatures below -160°C to room temperature through a heat exchange process with sea water at room temperature and pressure. (…) The Sankey representation of energy and exergy flows here presents a large potential for energy savings that could be realised in the regasification process.”

Found out via the news feed from ifu Hamburg, maker of e!Sankey that they have released an SDK based on e!Sankey that allows software makers to integrate Sankey visualizations into their application.

Two main features help to achieve this: (1) building Sankey diagrams from an XML file that contains structural and layout information (2) feeding values into a Sankey diagram template by reading ID/value pairs from a CSV file.

Consulting firm Rytec analyzes energy and heat utilization level of Swiss waste incineration plants and visualizes the processes using Sankey diagrams.

This Sankey diagram from their website is a simplified view and offers no details as to the actual figures. More detail can be found in this project summary (PDF).

Diagram labeled in German, but thanks to my friend Google Translate, I can identify ‘heating’, ‘boiler’, ‘energy conversion’ and ‘flue gas losses’. Orange streams to the top are losses.

Interesting comparative Sankey diagram on page 16 of the 2012 environmental declaration of Rosenheim Stadtwerke (Rosenheim City Power?).

The city is building or already running a wood gasification plant. Instead of just using the heat from directly burning wood (with 30% energy loss), they decided to work with a wood gas carburetor and use the wood gas to run a gas motor. This is somewhat similar to CHP where heat and electric power can be produced. Overall loss of energy (“Verluste”) in the system is only 23%.

The green box at the bottom displays the avoided fossil GHG emissions per tonne of wood for both technologies.

Flows are in MWh, but only some selected arrows are labeled. Unfortunately the flows are not always to scale: yellow arrow “Wärme” (heat) in figure at top representing 3,15 MWh, but shown as half the width of the blue arrow 4,5 MWh. I reckon the diagram was build manually from rectangles and triangles.

The ‘Landscape of Climate Finance’ is a project by the Climate Policy Initiative. CPI “works to improve the most important energy and land use policies around the world, with a particular focus on finance. (This) helps nations grow while addressing increasingly scarce resources and climate risk.”

At the have put up graphically appealing and beautifully crafted slideshow with facts on climate finance. How much is spent? Where does the money go to? Who are the receiving countries. Please browse the slideshow here.

Below are two Sankey diagrams from the 2013 report on climate finance.

The first is a rather coarse overview showing the international funding of climate projects by OECD countries and Non-OECD countries. On the right side the recipients breakdown: within their own borders, OECD countries, Non-OECD countries. Details on the countries are available in the report. Flows are in billion US$.

The other Sankey diagram is more complex. Here we can see the sources of climate finance and intermediate agents, the instruments, the recipients and the uses (adaptation and mitigation).

The incoming flows from the left are mostly “not estimated” (NE) and therefore are not to scale with the outgoing arrows. There are many annotations on assumptions and constraints, so please don’t make conclusions directly from the image. In the online version one can hover over the nodes to receive more information.

Congratulations to CPI for this work. They are tackling a complex issue graphically, and make good use of Sankey diagrams for visualization.