Saturday, October 31, 2015
Friday, October 30, 2015
People who care about Cambridge,
Please sign our petition and share with friends -
Please sign our petition http://www.ipetitions.com/petition/EddingtonSafety and forward this to friends, especially if you have Cambridge connections.
Please sign our petition: http://www.ipetitions.com/petition/EddingtonSafety
Wednesday, October 28, 2015
A new video explaining our "EddingtonSafety" petition for Safer Walking and Cycling near North West Cambridge
Please sign our petition at
- for further information, see:
Sunday, October 11, 2015
Price Carbon – I will if you will
David J C MacKay FRS, Peter Cramton,
Axel Ockenfels, and Steven Stoft
Nature Vol 526 Page 315-316 | 15 October 2015
I think this is the most important piece of writing I have ever been involved in.
SummaryInternational negotiations can and should be designed in way that takes into account the science of cooperation.
Reciprocity is the key to realigning self-interests and promoting cooperation.
"Individual commitments" and "reviews" will not solve the tragedy of the commons.
A common commitment ("I will if you will") can.
What sort of common commitment would work best?
We argue that a global carbon-price commitment could yield a strong treaty, especially if coupled to Green Fund transfers, incentivizing low-emitting countries to support a high carbon price.
Read the comment on Nature's website, and for further details see carbon-price.com.
Tuesday, September 15, 2015
We are pleased to inform you that you have been awarded the 2016 Breakthrough Paradigm Award. This annual prize honors those whose work has made a major contribution to realizing a future where all the world’s inhabitants can enjoy secure, free, prosperous, and fulfilling lives on an ecologically vibrant planet.
You were chosen in recognition of your path-breaking scholarship and public service on clean energy, energy systems, and innovation. Your influential text Sustainable Energy – without the hot air continues to be an invaluable resource to the popular and policy conversations on climate change. Your commitment to accessibility, both at the sentence level and in your efforts to make your books available for free, distinguishes you among many scholars and academics working today.
We are especially pleased to honor your five years of public service at the UK Department of Energy and Climate Change, and your work steering Britain toward one of the most ambitious and pragmatic climate policy trajectories in the world.
Your work has had a significant influence on our thinking about energy technologies and transitions, including on how we train our junior fellows to understand the cost, impact, and scale of energy transitions. Your work has made the global energy conversation less dogmatic and moved the world closer to more rational and effective action.
We hope the prize helps expand the valence of your work, introducing new scholars both young and old to Sustainable Energy – without the hot air. Of all the “Great Transformations” achieved by societies, energy transformations are perhaps the greatest and most central. You understand these transformations better than almost anyone living, and your writings will no doubt be read far and wide in the decades to come.
We offer our congratulations and deepest thanks for your inspiring work, and we look forward to meeting you soon.
Michael Shellenberger and Ted Nordhaus
Sunday, August 30, 2015
1: Updated SEWTHA videoThere is a new release of my 2010 "Sustainable Energy - without the hot air" lecture at Caltech which includes close-captioning. Thank you, CMU, for providing the cc!
|Original version: Sustainable Energy - without the hot air - David MacKay lectures at Caltech, April 2010
NEW: on YOUTUBE with close-captioning kindly provided by CMU's Equal Opportunity Services
2: Improving the HTML for viewing on small devicesI have made a New Contents Page for Sustainable Energy - without the hot air - http://www.withouthotair.com/sewthacontentsTHIN.shtml which is intended for viewing on thin, small displays. This contents page enables quick navigation to any page in the book. I recommend bookmarking it as the best quick way into the HTML book, especially on a smart-phone.
More enhancements to the HTML version of the book may be on the way soon.
For twitter users, I've added a "tweet" button to the top of every HTML page.
3: Solar and BatteriesLots of people have asked me whether recent hype and hoopla about solar panels and batteries overthrows what I wrote in my book in 2008. I am preparing a detailed update. Watch this space! The theme of my update will be the existence of a phenomenon called winter, which many of the solar-hyponauts seem to ignore. Here is a teaser trailer showing the winter and summer 3-month-average insolation in 50 US states.
Monday, August 3, 2015
Of course, a proper analysis should account for ageing effects and variations in the weather, both of which have been carefully studied by Staffell and Green. They found that "Wind turbines ... lose 1.6 ± 0.2% of their output per year" (which implies, for a load factor of 35%, a reduction in load factor of 0.56% per year - a trend that I have shown by the green straight line in the next graph).
So, has there been a technological improvement in offshore wind turbines that has boosted load factors? Having been involved in innovation support while I worked at DECC, my prior expectation was that the answer to this question could easily be "yes". But actually it looks like it is possible to account for the apparent trend in the data by a simple "ageing" hypothesis: perhaps the newer wind farms are better just because they have aged less?
Tuesday, January 20, 2015
The area of wooden suspended floor is about 35 square metres. According to page 290 of my book, the
U-value of the floor is 0.7 W/m2/K, so the floor has a leakiness of about 25 W/K, which assuming an average
difference of 6 degrees, implies a conductive heat loss of 147 W (3.5 kWh/day). (The floor may also contribute some
of the ventilation-leakiness of the house, but I'll neglect that.)
The floor doesn't just lose heat, it also feels cold, and thus (a) affects quality of life, and (b)
perhaps causes us to turn up the thermostat sometimes to improve our feeling of warmth. If we manage to
keep the whole house (leakiness 240 W/K) on average 1 degree cooler thanks to improved floor insulation,
then that would be an extra 240 W of saving (6 kWh/day).
I didn't do an economic calculation before deciding to get the underfloor insulation. It just feels like the right thing to do, and Retrovive was recommended by someone from Max Fordham, whose judgement I respect highly. Anyway, let's work out a pay-back time. The anticipated new U-value is about 0.25 W/m2/K. It looks like the work will cost about £2900 including VAT (including insulating central heating pipes that run under the floor) (for comparison we are perfectly happy to put down new carpets over a smaller area for a cost of £1150). If the insulation eliminates two thirds of the floor's conductive heat loss (i.e., about 2.2 kWh/day) and delivers say one quarter of the notional 6 kWh/day saving guessed above (if we managed to turn the thermostat down a bit), the total saving might be 3.7 kWh/day. With gas costing 5.2p per kWh, that's 20p per day, or £70 per year. So the payback time might be about 41 years.
If I went to the high end of all my estimates, I might imagine a saving of 9.5 kWh/day on average, in which case the payback would be about £180 per year and the payback time would be 16 years.
I am expecting that the main value of this work will be the improved feeling of comfort. People are happy to pay £36,000 per year to rent a family home [That's what we paid to rent a flat in London, at least]. If the home's main room feels really cosy, how much extra would we be willing to pay? I could imagine 5% or 10%. On those grounds, the comfort of cosiness is worth £1800 to £3600 per year. So the payback time, taking into account this benefit, is just one or two years.
I will post again when the work is done! (April 2015)
Friday, November 14, 2014
The options in the calculator include lifestyle changes, and all sorts of technologies for saving energy
and sourcing low-carbon energy.
I would love to help Oxford crowd-source its own 2050 pathway, but there won't be time in this single lecture
to do it; so here is the plan:
I'll come back to Oxford in March 2015, and, with Mark Lynas and other celebrities at the Oxford
Literary Festival, we will find out what pathway the Oxford audience would like to choose, to keep the lights
on, have energy security, and meet the UK's legal climate change targets .
To ensure that we have a really good deliberative discussion, the Oxford community is
welcome to use the comments area of this blog page as a place for
Commenting rules: Please discuss options in the calculator, and what you would like the UK to do. Please don't have a pub brawl. Please discuss pathways that add up. It's fine to say you dislike an option, but you should feel an obligation to describe how you would propose to get by without that option, taking into account other people's views about the other options.
At the Oxford Literary Festival event we will take all your comments into account and use them as a springboard for a really constructive discussion. Thank you for joining in!
You may be interested to see what pathways other cities chose, when they took on the "British Energy Challenge" - here are those cities' choices, and my reflections on the British Energy Challenge roadshows of 2013 and 2014.
I look forward to listening in and supporting Oxford's energy pathway discussion in 2015!
My Simonyi lecture slides are here, and Sustainable Energy - without the hot air is free online too. The 2050 Calculator also contains lots of well-written documentation [click on the blue "i" icons] to help guide your decisions.
Wednesday, September 10, 2014
Further reading: Solar energy in the context of energy use, energy transportation, and energy storage - a paper in which I provide data for the power per unit area of real solar farms, and discuss the need for significantly cheaper energy storage if ground-based solar power is ever to contribute a significant fraction of energy consumption.
Tuesday, August 12, 2014
How would the footprint of a shale gas operation compare with the footprint of other ways of delivering a similar quantity of energy?
There are many dimensions to a "footprint". In this blog post, I'll look at land area, vertical height, and vehicle movements.
I'll compare a shale gas pad (which might produce 0.9 billion cubic metres of gas over 25 years) with a 174-MW wind farm and a 380-MW solar park, both of which would deliver roughly 9.5 TWh of electricity over 25 years – the same amount of energy as the chemical energy in 0.9 billion cubic metres of gas.
In this table I've highlighted in green the "winning" energy source for each of the footprint metrics.
|Shale gas pad||Wind farm||Solar park|
|(10 wells)||87 turbines,|
174 MW capacity
380 MW capacity
|Energy delivered over 25 years||9.5 TWh||9.5 TWh||9.5 TWh|
|Number of tall things||1 drilling rig||87 turbines||None|
|Height||26 m||100 m||2.5 m|
|Land area occupied by hardware, foundations, or access roads||2 ha||36 ha||308 ha|
|Land area of the whole facility||2 ha||1450 ha||924 ha|
|Area from which the facility can be seen||77 ha||5200-17,000 ha||924 ha|
|Truck movements||2900-20,000||7800||3800 (or 7600*)|
The total land area of the facility is smallest for the shale gas pad, and largest for the wind farm. The land area actually occupied by stuff is smallest for the shale gas pad, and largest for the solar park – the wind farm has lots of empty land between the turbines, which can be used for other purposes.
In terms of visual intrusion, the wind turbines are the tallest, and could be seen from a land area of between 52 and 170 square km, depending how they are laid out. (To roughly estimate an area of visual influence, I computed the land area within which the drilling rig or a wind turbine would be higher than 3 degrees above the horizon, assuming a flat landscape.) By this measure, the shale gas pad creates the least visual intrusion. Moreover, the drilling rig might be in place for only the first few years of operations at the shale gas pad. The solar panels are the least tall, but the solar facility occupies 450 times as much land area as the shale gas pad. (I've assumed that the wind farm and solar parks wouldn't require any additional "intrusive" electricity pylons.)
When it comes to truck movements, all three energy facilities require lots! I've assumed that solar panels are delivered at a rate of 800 (originally 400*) panels per truck; for the wind farm, my estimate is dominated by the delivery of materials for foundations and roads at 30 tonnes per truck; the estimates for the shale gas pad are from DECC's recent Strategic Environmental Assessment and from the Institute of Directors' report "Getting Shale Gas Working". The shale gas pad might require the fewest truck movements, if all water is piped to and from the site. But if water for the fracking is trucked to and from the site, then the shale-gas facility would require the most truck movements.
What can we take from these numbers? Well, perhaps unsurprisingly, there is no silver bullet – no energy source with all-round small environmental impact. If society wants to use energy, it must get its energy from somewhere, and all sources have their costs and risks. I advocate deliberative conversations in which the public discuss the whole energy system and look at all the options.
Thanks to Jenny Moore, Martin Meadows, and James Davey for helpful discussions.
Comments and clarifications
All estimates are for energy production facilities located in the UK. The estimate of energy produced from a shale gas pad is highly uncertain, since there are no data for actual shale gas production in the UK.
The comparison in the table is based on deeming 1 kWh of electrical output from the wind to be 'equivalent' to 1 kWh of chemical energy in the form of gas. This is the conventional equivalence used for example in DUKES and in Sustainable Energy - without the hot air. The following differences between the energy sources should be noted.
- The three sources of power have different profiles of power generation. On an annual scale, a single shale gas well produces most power when it is newly fractured, whereas a wind-farm produces a relatively constant average power over its life. On an hour-by-hour scale, the gas from the well is dispatchable – its flow can be turned up and down at will – whereas the power from a wind-farm is intermittent.
- In a world in which the only conceivable use for gas is making electricity in a power station with an efficiency of about 50%, one might prefer to deem each 1 kWh of gas as 'equivalent' to just 0.5 kWh of electricity.
- On the other hand, in a world that values gas highly relative to electricity that is generated at times when the wind blows, one might imagine planning (as Germany is said to be planning) to use electricity from wind-farms to synthesize methane (with an efficiency of 38-48%); then one might deem each 1 kWh of wind-electricity as being 'equivalent' to 0.38-0.48 kWh of gas.
- If one wished to make a comparison in which both power sources are constrained to have very low carbon emissions, the shale-gas well must be accompanied by other assets. For example, if the gas is sent to a power station that performs carbon capture and storage, the gas-to-carbon-free-electricity efficiency might be about 42%, and the land area for the power station and the carbon transport and storage infrastructure should be included; assuming that these assets have an area-to-power ratio of 100 ha per GW(e), each 43.4-MW gas well (which would yield 18.2 MW of electricity) would require an extra 1.82 ha of land, which roughly doubles the 2-ha land area mentioned in the table.
My estimate for vehicle movements for large wind-farms is based on Farr wind-farm. I'm sure there is considerable variation from project to project, and I would welcome more data. For the number of truck movements required for a wind farm, I reckoned there would be about 870 movements to bring in the turbines themselves [counting an in-bound and out-bound trip as two movements], and significantly more movements to bring in the materials for roads and concrete for foundations. Some of these materials may be mined from quarries located on the wind-farm, which would then involve no vehicle movements on public roads; based on Farr wind-farm (where three quarters of the road materials were sourced on site) [sorry, I don't have a link for this fact], the road building would require 2774 vehicle movements for a 174-MW windfarm, and the foundations would require another 4140 or so – in total, about 7800 vehicle movements.
Further readingPotential greenhouse gas emissions associated with shale gas production and use.
Thursday, August 7, 2014
John Biggins sent me a helpful email querying a number in my book's chapter on "Stuff".
I have a question about the embedded energy in a car, which you quote at 76000kWh. That seems awfully high to me. To a first approximation a car is a tonne of steel, with a raw material energy of 6000kWh: an order of magnitude less.The (admittedly biased) Society of Motor Manufacturers & Traders report quote an even lower figure of 2000kWh per car (page 17), which I suspect is probably meant to be simply the energy used per car by the car plant, neglecting materials.
The guardian also wrote about this in 2009 .
They asked a few manufacturers, and arrive at a figures in the ballpark of about 1-4 tonnes of C02 to produce a car, which we might reverse engineer guessing most of the CO2 comes from coal burning in either steel production or electricity generation, to get ballpark figures of probably no more than 10,000kwh per car.
Since these estimates actually differ from your figure by a magnitude, I thought I'd write and ask whether you particularly believe your 76,000kWh figure. Do you have any back-of-the-envelope type way to understand it?
This blog post is where I will record my working on this question. I will aim to justify or adjust my answer within a month, and will add to the book's Errata if necessary. If anyone wants to send me good references on embodied-car-energy to add to my own, please post a comment. Thanks! David
Monday, June 23, 2014
But if the world is serious about tackling climate change, these fantastic engineering achievements are not enough. Whereas, in the year 2000, aviation contributed 2% of global carbon dioxide emissions, it is projected that by 2050, aviation's growth will increase its carbon emissions five-fold, even allowing for continued improvements in efficiency. Moreover, today's planes emit other greenhouse gases whose effect on climate is estimated to be between two and four times greater than their carbon dioxide emissions.
The Longitude Prize 2014 Flight Challenge sets a new goal for aviation: to design and demonstrate a near-zero-carbon aircraft, which travels fast (though not necessarily as fast as a jet), which has a substantial range (at least London to Edinburgh!), and which is significantly more energy-efficient than a 747. There is no simple solution to this demanding set of constraints, but there are promising approaches that fulfill some of these requirements.
We intend the Challenge to be accessible to small creative teams. Here I've described four current activities that indicate the wide range of perspectives from which the Flight Challenge might be approached. I'm confident the Flight Challenge will stimulate brilliant inventors to develop other exciting ideas for the future of aviation.
See also: 2014 Longitude prize WATER Challenge
Voting for the Longitude Prize Challenge closes at 7.10pm on June 25th 2014.
David MacKay FRS is a member of the 2014 Longitude Committee. He is the Chief Scientific Advisor at the Department of Energy and Climate Change, and Regius Professor of Engineering at the University of Cambridge. He is well known as author of the popular science book, Sustainable Energy — without the hot air.
Frequently asked questions...
David MacKay FRS
Saturday, May 24, 2014
Energia sostenibile - senza aria fritta [Italian translation of Sustainable Energy - without the hot air!]
I'm very grateful to volunteers Alessandro Pastore, Javier Oca, Valentina Rossi, Alberto Marcone, Paolo Errani, and Simone Gallarini for completing the Italian translation of Sustainable Energy - without the hot air.There is an announcement of the translation, and a synopsis, at this link, and the first draft of the translation is available on the book's translation page.
Energia sostenibile - senza aria fritta — Nel caso ci fossero sfuggite delle imperfezioni o errori, all'indirizzo email: email@example.com, saremo ben lieti di riceverne segnalazione. Il libro in italiano può essere scaricato liberamente da internet all'indirizzo http://www.withouthotair.com/translations.html.
Saturday, February 22, 2014
I'm aiming to make a highly interactive presentation in which we will try to crowd-source an "IET consensus pathway" in the UK's 2050 Calculator. To help the discussion go well, I'd like to encourage people who are planning to be in the audience, before the lecture, to play with the calculator, and to identify the levers they would most like to discuss during the lecture. Please use the comments area at the foot of this blog-post now as a discussion area. Please feel free also to discuss your preferred pathways or preferred settings of individual levers, and to discuss particular issues or trade-offs that you think should be part of a useful conversation using the calculator.
The outcome - Here is the pathway that we got to after one hour - I will write a few notes and propose possible tweaks in a moment. Top things that needed doing: (a) check which fuel mix for the CCS power stations works best; (b) check which choice of fuel from bioenergy works best; (c) explore space-heating options - the audience asked for a 15:25:60 mix of fuel-in-home (eg gas boilers):district-heating:heat-pumps, and the "CD" heating mix doesn't match this perfectly. Thank you to the audience for a fun evening!
Update - After the lecture I made a few adjustments to the above pathway which I think the audience would have been content with. The resulting final IET London pathway (March 2014) is here. The changes I made were as follows: (a) I checked which choice of CCS power station fuel (solid/gas) was best for emissions, and selected "D". (b) I checked which "type of fuels from biomass" was best for emissions, and selected "B" (mainly solid). (c) I adjusted the commercial heating choice to "D,A" so as to make the overall heating mix for homes and commercial closer to the heating mix that the audience voted for. (d) I double-checked whether choices (a, b) were still optimal. The resulting pathway achieves a 77% reduction in emissions on 1990 levels (pretty close to the 2050 target of at least 80%), and requires no backup generation in mid-winter when the wind doesn't blow.
Wednesday, December 11, 2013
|My attention was recently drawn to an impressively fuel-efficient turboprop aircraft, the ATR72-600, which is claimed to be about one third more energy efficient than Bombardier's Q400 turboprop, which I featured on page 35 of SEWTHA.|
|I've consequently written an update on turboprops, celebrating this achievement, but in the interests of balance I feel I should also nominate the advertisers of the ATR72-600 for this year's Hot Air Oscar for the most misleading "green" infographic, for this astonishing picture [at left] showing the difference between the fuel consumption of the ATR 72 and the Q400 on a 250-nautical-mile journey. As the numbers in the picture show, the ATR 72's fuel consumption is 70% of the Q400's, but the volume of the three-dimensional blue barrel shown is 30% of the volume of the orange barrel — a 2.3-fold exaggeration!|
In fact, I doubted Hughes's assertions from the moment I first read his study, since they were so grossly at variance with the data.
a) Histogram of average annual load factors of wind farms at age 10 years. For comparison, the blue vertical line indicates the assertion from the Renewable Energy Foundation's study that "the normalised load factor is 15% at age 10."
b) Histogram of average annual load factors of wind farms at age 11 years.
c) Histogram of average annual load factors of wind farms at age 15 years. For comparison, the red vertical line indicates the assertion from the Renewable Energy Foundation's study that "the normalised load factor is 11% at age 15." At all three ages shown above, the histogram of load factors has a mean and standard deviation of 24% ± 7%.
Moreover, by January 2013 I had figured out an explanation of the underlying reason for Hughes's spurious results. I immediately wrote a technical report about this flaw in Hughes's work, and sent it to the Renewable Energy Foundation, recommending that they should retract the study.
I would like to emphasize that I believe the Renewable Energy Foundation and Gordon Hughes have performed a valuable service by collating, visualizing, and making accessible a large database containing the performance of wind farms. This data, when properly analysed in conjunction with detailed wind data, will allow the decline in performance of wind turbines to be better understood. Iain Staffell and Richard Green, of Imperial College, have carried out such an analysis (in press), and it indicates that the performance of windfarms does decline, but at a much smaller rate than the "dramatic" rates claimed by Hughes. The evidence of decline is strongest for the oldest windfarms, for which there is more data. For newer windfarms, the error bars on the decline rates are larger, but Staffell and Green's analysis indicates that the decline rates may be even smaller.
I will finish this post with a graphical explanation of the flaw that I identified (as described in detail in my technical report) and that I believe underlies Hughes's spurious results.
The study by Hughes modelled a large number of energy-production measurements from 3000 onshore turbines, in terms of three parameterized functions: an age-performance function "f(a)", which describes how the performance of a typical wind-farm declines with its age; a wind-farm-dependent parameter "ui" describing how each windfarm compares to its peers; and a time-dependent parameter "vt" that captures national wind conditions as a function of time. The modelling method of Hughes is based on an underlying statistical model that is non-identifiable: the underlying model can fit the data in an infinite number of ways, by adjusting rising or falling trends in two of the three parametric functions to compensate for any choice of rising or falling trend in the third. Thus the underlying model could fit the data with a steeply dropping age-performance function, a steeply rising trend in national wind conditions, and a steep downward trend in the effectiveness of wind farms as a function of their commissioning date (three features seen in Hughes's fits). But all these trends are arbitrary, in the sense that the same underlying model could fit the data exactly as well, for example, by a less steep age-performance function, a flat trend (long-term) in national wind conditions, and a flat trend in the effectiveness of wind farms as a function of their commissioning date.
Monday, November 18, 2013
Now, I'm always interested in powers per unit area of energy-generating and energy-converting facilities, so I worked out the average power per unit area of all three of these, using the estimated outputs available on the internet. Interestingly, all three power stations are expected to generate about 8.7 W/m2, on average. This is at the low end of the range of powers per unit area of concentrating solar power stations that I discussed in Chapter 25 of Sustainable Energy - without the hot air; Andasol, the older cousin of Solana in Spain, is expected to produce about 10 W/m2, for example.Solar energy in the context of energy use, energy transportation, and energy storage in the Phil Trans R Soc A Journal earlier this year, and these three new data points lie firmly in the middle of the other data that I showed in that paper's figure 8 (original figures are available here). .
These data should be useful to people who like to say "to power all of (some region) all we need is a solar farm the size of (so many football fields, or Greater Londons, or Waleses), if they want to get their facts right. For example, Softbank Corporation President Masayoshi Son recently alleged that "turning just 20% of Japan’s unused rice paddies into solar farms would replace all 50 million kilowatts of energy generated by the Tokyo Electric Power Company". Unfortunately, this is wishful thinking, as it is wrong by a factor about 5. The area of unused rice paddies is, according to Softbank, 1.3 million acres (a little more than 1% of the land area of Japan). If 20% of that unused-rice-paddies area were to deliver 8.7 W/m2 on average, the average output would be about 9 GW. To genuinely replace TEPCO, one would need to generate roughly five times as much electricity, and one would have to deliver it when the consumers want it.
Maybe a better way to put it (rather than in terms of TEPCO) is in national terms or in personal terms: to deliver Japan's total average electricity consumption (about 1000 TWh/y) would require 13,000 km2 of solar power stations (3.4% of Japan's land area), and systems to match solar production to customer demand; to deliver a Japanese person's average electricity consumption of 21 kWh per day, each person would need a 100 m2 share of a solar farm (that's the land area, not the panel area or mirror area). And, as always, don't forget that electricity is only about one third or one fifth of all energy consumption (depending how you do the accounting). So if you want to get a country like Japan or the UK off fossil fuels, you need to not only do something about the current electricity demand but also deal with transport, heating, and other industrial energy use.
Sources: NREL; abengoa.com; NREL; solarserver.com; and google planimeter.
Monday, October 14, 2013
Sunday, June 9, 2013
One interesting thing I figured out while working on this graph is that, while the average power consumption per unit land area of the world is 0.1 W/m2, 78% of the world's population lives in countries where the average power consumption per unit land area of the world is greater than 0.1 W/m2 — much as, in a town with some crowded buses and many empty buses, the average number of passengers per bus may be small, but the vast majority of passengers find themselves on crowded buses.
Please follow this "Map of the World" link to see multiple versions of the graph, and to download high-resolution originals, which everyone is welcome to use.
My "Map of the World" graphs are published this year in two journal papers, which I will blog about shortly.
|David J C MacKay (2013a) Could energy-intensive industries be powered by carbon-free electricity? Phil Trans R Soc A 371: 20110560. http://dx.doi.org/10.1098/rsta.2011.0560||This paper also contains detailed information about the power per unit area of wind farms in the UK and USA, and of nuclear power facilities|
|David J C MacKay (2013b) Solar energy in the context of energy use, energy transportation and energy storage. Phil Trans R Soc A 371: 20110431. http://dx.doi.org/10.1098/rsta.2011.0431||This paper also contains detailed information about the power per unit area of solar farms|
Monday, April 8, 2013
On page 131 I wrote:
... hydrogen gradually leaks out
of any practical container. If you park your hydrogen car at the railway
station with a full tank and come back a week later, you should expect to
find most of the hydrogen has gone.
Both of these statements are incorrect.
First, while hydrogen is a very leaky little molecule, it is possible to make practical containers that contain compressed hydrogen gas for long durations. It's just necessary to have sufficient thickness of the right type of material; this material may be somewhat heavy, but practical solutions exist. The technical term used in the hydrogen community for this topic is "permeation", and it's especially discussed when ensuring that hydrogen vehicles will be safe when left in garages. Hydrogen containers are currently classed in four types, and the metallic containers and containers with metallic liners (Types 1, 2, and 3) have negligible permeation rate. However, hydrogen permeation is an issue for containers with non-metallic (polymer) liners (Type 4) which readily allow the permeation of hydrogen. [Source: P. Adams et al]
Second, when discussing the hydrogen vehicle that is left for 7 days, I incorrectly tarred all hydrogen vehicles with a hydrogen-loss brush that applies only to vehicles that store liquified hydrogen at cryogenic temperatures. There are in fact three types of hydrogen storage: Compressed gas (typically at 350 or 700 bar); Cryogenic (typically at less than 10 bar and at extremely low temperature) and Cryo-compressed (at low temperature and at pressures up to about 350 bar). The hydrogen community discuss the "loss-free dormancy time" and the "mean autonomy time" of a system, which are respectively the time after which the system starts to lose hydrogen, and the time after which the car has lost so much hydrogen it really needs refilling. In the US Department of Energy's hydrogen plans, the targets are for a loss-free dormancy time of 5 days and a mean autonomy time of 30 days. Cryogenic liquid-hydrogen systems (such as the one in the BMW Hydrogen 7, which I featured in my book) do not currently achieve either of these targets. (And the reason is not that the hydrogen is permeating out, it's that heat is permeating in, at a rate of 1 watt or so, which gradually boils the hydrogen; the boiled hydrogen is vented to keep the remaining liquid cold.) However, compressed-gas systems at 700 bar can achieve both of these targets, so what I wrote was unfair on hydrogen vehicles. [Source: EERE 2006 Cryo-Compressed Hydrogen Storage for Vehicular Applications]
I apologise to the hydrogen community for these errors.
I will add a correction to the errata imminently.
Friday, December 14, 2012
Just like the original English book, the French translation is available free on-line, and it can be bought at a reasonable price from your favourite retailers.
Thursday, August 2, 2012
Monday, July 16, 2012
Here is an animation showing the evolution of global temperature and the number of sunspots over the last 129 years.
And in case it doesn't display right, here's the final frame of the animation:
And in case it isn't obvious what I think these data show, the message I get from them is that there is no obvious or strong association at all between sunspot numbers and global temperatures.
(Thanks to Iain Murray for free-software help.)