Month: August 2015

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French Regional Energy Scenario 2050

After many national energy flow balances, some of which I have presented here on the blog, energy flow balances on a regional level are now coming out of France.

Benoît Thévard who writes on the ‘Avenir Sans Petrol’ blog (a French version of Peak Oil) has an interesting post on ‘Un scénario de transition énergétique citoyen pour la Région Centre’ (translated: An civil energy transition scenario for the Central Region). It summarizes a report published March 2015 by VEN Virage Energie Centre-Val de Loire.

The report features two Sankey diagrams. The first on page 33 is for the actual 2009 energy flows in Centre-Val de Loire (check here to find out about this French region)

france_regional_energy_flow_2009

Flows are in TWh. Production of nuclear energy comes with huge losses (efficiency approx. 35%). The main consumers in the region are residential and services, followed by transport. Energy consumption in industry plays a comparably smaller role in the region. The report explains that the region is vast and not densely populated and houses are older and larger on average compared to other regions (“le territoire est vaste et peu dense et les logements sont anciens et sont plus grands”). Another report mentioned on p. 21 calls the region énergívore (a beautiful word I read for the first time).

The other Sankey diagram on page 37 shows a nuclear-free and almost fossil fuel free scenario for 2050. Overall consumption is drastically reduced (2009 energy consumption approximately 75 TWh, 2050 energy consumption scenario 32,4 TWh). The scenario relies on a diversification of energy sources with an emphasis on wind energy and biogas. The region would hardly export any energy in 2050 anymore.

france_regional_energy_flow_scenario2050

Just like for the India 2031 scenario I discussed in my last post, the two Sankey diagrams shouldn’t be compared directly, since the scale is different.

The report also has clear and straight-forward explanation on how to read the diagrams (page 32). This “diagramme de Sankey se lit de la gauche vers la droite, en partant des productions régionales d’énergie primaire et des importations, sur la gauche, pour aller jusqu’au consommateur final, sur la droite. L’épaisseur des traits est proportionnelle aux flux physiques exprimés en TWh.”

I think this a remarkable piece of information for the public. And not only because it contains Sankey diagrams. It is beautifully non-academic and inspiring to read. Those of you who understand French should have a look.

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India Energy Flows 2031 Scenario

I have often wondered why we don’t see more Sankey diagrams coming out of India. With a population of 1.252 billion and a solid engineering education (according to AICTE 2011/2012 report: 3495 degree-granting engineering colleges in India with an annual enrollment crossing 1.2 million, 16% of Indian students take an engineering/technology course, number of graduates from technical colleges was over 700,000 in 2011) I would have expected more.

Maybe it is just because I don’t know how to read and write in Hindi, to look for the right term. This should be Sankey diagram in Hindi (please correct me if I am wrong): sankey_diagram_hindi

Anyways, the 2006 report ‘National Energy Map for India. Technology Vision 2030* published by the Office of the Principal Scientific Adviser to the Government of India (PSA/2006/3) does have a number of Sankey diagram figures.

This one shows energy flows for India in 2001

india_2001_energy

This Sankey diagram below is for one of the different scenarios for energy generation and use in India in 2031, called the ‘High energy efficiency scenario’. The stacked bar at the left is lower, but the absolute numbers for total commercial energy supply are much higher in 2031 than in 2001 in all energy scenarios, so these diagrams mustn’t be compared directly one to another.

india_2031_energy_higheff_scenario

See the appendix A5 (pp 271-278) for more Sankey diagrams for other 2031 Indian energy scenarios.

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GHG Emissions of Energy from Biogas Plant

An article by Bachmaier, Hans; Effenberger, Mathias and Gronauer, Andreas in German agricultural technology publication ‘Landtechnik’ 65 (2010), no. 3, pp. 208-212 describes how “for ten agricultural biogas plants, a detailed balance of greenhouse gas emissions (GHG) and cumulated energy demand (CED) was calculated”.

Below is the Sankey diagram for plant E that has the “best GHG balance of all ten plants with net savings of 85 g CO2-eq per kWh el. Characteristics are a high share of poultry manure in the input saves energy for crop production; no additional mineral fertilizer needed; credit for surplus digested residue; high level of heat use.”

biogas_plant_fig01

Biogas plant G has “Regular treatment of animal manure from own livestock; intermediate level of heat use; high methane emissions from CGU; high demand of fossil resources during plant operation (electricity supply from grid, fuel oil).”

biogas_plant_fig02

Both diagrams feature the GHG emission burdens in CO2-eq per kWh electric energy produced from biogas. Upstream chains for fertilizer, diesel and electricity taken into account too. Displaced GHG emissions nonus in green. It is interesting to see that in this agricultural energy scenario methane (CH4) and nitrous oxide (N2O) are contributing to climate change in the same dimension as carbon dioxide.

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Rare Earths Use, Alluvial Diagram

While brosing this presentation by Thomas E. Graedel, Yale University, Center for Industrial Ecology with the provocative title ‘Rare Earths and Other Scarce Metals: Technologically Vital but Usually Thrown Away’ I discovered the following distribution (aka alluvial) diagram. It was originally published in the article ‘Uncovering the end uses of the rare earth elements’ by X Du, TE Graedel in Science of the Total Environment, 2013 (pp. 781-784)

graedel_rare_earths

The diagram is best read from right-to-left: The right column shows ten rare earth elements (REE) and a node for the “other” five or seven REEs. Lanthanum (La), Cerium (Ce), and Neodymium (Nd) make up the largest portion mass-wise, followed by Praseodymium (Pr) and Yttrium (Y).

The middle column nodes (categories) represent technological uses of these REEs in e.g. magnets, automotive catalysts, or polishing powders.

The left column then represents the countries or regions where the components or products that contain REEs are produced: China, Japan, and the United States.

Data is for 2007. No mass unit or absolute numbers given for the diagram in this presentation, and I presently don’t have access to the original publication.

Du and Graedel have also published an interesting paper on ‘Uncovering the Global Life Cycles of the Rare Earths Elements’ where they analyse REE from mining to end-of-life with losses along the life cycle and display these data in a circular flow diagram for each REE. These “REE wheels” also call for a Sankey representation, but that will be for another time…

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Visualizing Passenger Boarding/Alighting

I was asked if Sankey diagrams could meaningfully be used to visualize passenger loads on a tram or bus line. Here is what I came up with:

bus_line_pax

These are fictitious values. I just labeled the stops A, B, C, … and decided to go for a short feeder line. At the last stop all passengers get off (e.g. to transfer to a train).

At each stop there are passengers that get on (green) and get off (red). The number of pax on the bus is shown by the blue arrows.

The profile would probably look differently at different times of day, so depending on the data availability one would have to create diagrams for off-peak/peak hours, weekdays/holidays and so on.

Your thoughts?

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Sankey diagram on Austrian Wood Industry

A beautifully crafted Sankey diagram on wood in Austria can be found in the 2012 article ‘Die Bedeutung von Holz als erneuerbarer Energieträger’ (translation: ‘The importance of wood as a renewable energy source’) by Kasimir Nemestóthy on the waldwissen.net website. These are the wood streams in Austria in 2010.

bfw_holz_energietraeger_2

All streams in solid cubic metre of wood (“Festmeter”, fm). Smaller streams less than 0.1 mio solid cubic metres are not displayed.

Here is how the diagram is structured: on the left the sources of wood with imports, harvesting from forests and other non-forest wood sources. Imports and harvested wood is directed mainly to sawmills (“Sägeindustrie”) and to paper industry. Non-forest wood as well as losses from wood industry (bark, wood chips) are for energetic use.

The dark green arrow is saw round wood with the bordeaux-colored stream representing bark. The brown arrow is industrial round wood of lesser quality, mainly used in paper industry. The light pink and light green arrows represent wood chips and firewood. Along with remains from the saw mills and paper industry it is destined for energetic use.

One minor design flaw at the top (arrow from imports to saw mills) where the green arrow overlaps the orange and red arrow in the curve), but by the untrained Sankey eye this will probably rarely be noticed.

There is a second Sankey diagram in the article that details the energy use, but I will save that one for a separate post.