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All IPCC definitions taken from Climate Change 2007: The Physical Science Basis. Working Group I Contribution to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, Annex I, Glossary, pp. 941-954. Cambridge University Press.

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Comments 79501 to 79550:

  1. A Detailed Look at Renewable Baseload Energy
    Thank you, BBD, the feedback is greatly appreciated.
  2. Visions of the Arctic
    There is a thing that make me doubt that of Arctic sea ice meltdowm will put Polar Bears in danger of extinction is the fact that Hudson Bay is populated by polar bears despite the fact that every summer the sea ice there melts completely, resulting in 100% open water. If bears that live in Hudson Bay can survive and thrive with just a seasonal sea cover, then why their Russian comrades cannot survive a change from perennial to seasonal sea ice cover? So I am skeptical that Polar Bears are in danger. On the contrary, I am near certain that the ones that are in danger because of Arctic meltdown are a species known as Homo "Sapiens Sapiens", because a change from perennial to seasonal sea ice cover in the Arctic will severely disrupt global climate.
  3. Visions of the Arctic
    Pirate#4, As usual, a moment with the Google machine yields the story of yet another polar bear: What a scientist called the "ordeal" of Bear 20741 was documented in the journal Polar Biology, and while it may not have been unprecedented -- shrinking Arctic ice has led to frequent reports not only of long-distance swims, but even cannibalism -- the study provided some of the best documentation to date of the real-world conditions of a polar bear on a warming planet. Is it really that much easier to react with the usual 'no its not'?
  4. apiratelooksat50 at 08:34 AM on 13 July 2011
    Visions of the Arctic
    DB: Can you or anyone else, other than the photographer (if he is willing), legitimately say that polar bear in that picture is in legitimate duress? I have a MS degree in Fisheries and Wildlife Biology. I am not denying anything. I can tell you for sure that polar bears swimming in open ocean is normal. DB, do you know how far that bear was swimming? Do you know how far apart his meals were? Or, are you emotionally reacting to a "snapshot" and a tagline? The prepoderance of evidence of polar bear biology and behavior says that picture is normal. What proof is there that that picture shows anything remotely abnormal?
    Response:

    [dana1981] Please read the article more carefully.  The author is not claimng that the polar bear in the picture is in distress.  He's talking about 'an image in his mind' of the inevitable day in the future when the Arctic is almost entirely ice free, and polar bears experience the consequences.

  5. Visions of the Arctic
    Apirate There are plenty of studies showing the risks that polar bears,other wildlife and their environment face. I would suggest reading the following links: http://www.nature.com/ncomms/journal/v2/n2/full/ncomms1183.html http://www.usgs.gov/blogs/features/2011/03/28/species-at-risk/ http://www.amap.no/swipa/
  6. Rob Painting at 07:58 AM on 13 July 2011
    Trenberth on Tracking Earth’s energy: A key to climate variability and change
    Eric (Skeptic) @ 25 - I've been thinking along the same lines. The year-to-year variability in OHC is large, even in the ARGO data,, too large to accommodate the small rise in air temperatures we observe during El Nino. So what's happening to that heat?, is it being lost to space as Katmsan and Oldenburgh (2011) suggest?
  7. A Detailed Look at Renewable Baseload Energy
    Thanks to Tom and KR for sticking with the LAGI discussion and - eventually - breaching my mental log-jam. The moderators have been patient too, which I appreciate.
  8. The Medieval Warm(ish) Period In Pictures
    scaddenp#41: "timing and strength depend on WHERE the proxies come from" A proxy here, a proxy there; soon you're talkin' real data. Another location analyzed: Cronin et al 2003, with comparison to the venerable Sargasso Sea data. If the Chesapeake record for the period 450–1000 AD is viewed as a baseline for comparison to 19th and 20th century temperatures in lieu of pre-1000 AD atmospheric records, then the magnitude of recent Chesapeake temperature extremes are larger than those observed even during the relative warmth 1000–1500 years ago. Although this result may be partially due to greater sampling resolution in the last two centuries, it is nonetheless consistent with evidence from other studies suggesting that recent decadal climate variability in the North Atlantic region is extreme relative to long-term patterns and may be in part anthropogenic in origin. -- emphasis added And there's that pesky consistency of the evidence again. I guess it's easy to object to one data point and pretend the rest don't exist.
  9. apiratelooksat50 at 07:38 AM on 13 July 2011
    Visions of the Arctic
    That polar bear is no more swimming for his life than I was this morning at the local YMCA. Polar bears are marine mammals and routinely swim many miles in open ocean. Sure, the pictures are great, but unless the photographer can provide a picture of that bear drowning, or struggling to make it to ice/land and exhaustingly hauling itself out to barely survive - then his statement is unsupported. Polar bears have been observed swimming many dozens of miles from shore with no duress. It would be interesting to see a larger scale view of that picture.
    Response:

    [DB] Thank you for providing an object lesson of the denialist mentality.  It would be interesting if a dissembler were to even once see the "larger scale view" without the veils of confirmation bias blinding their eyes.

    And what is said polar bear to do when those "many miles" become many hundreds of miles?  When meals become weeks and months apart?

    Your position is impoverished of merit.

  10. What we know and what we don't know
    ETR#17: "I am looking at the whole data, that is why I can see the changes." That's interesting; perhaps you have some graphics of the 'whole data' you'd like to share. Do you take MLO all the way back to 1958? Have you included other long life monitoring locations, such as Barrow or Summit? Have you observed how well 'excess' CO2 concentrations (measured ppm above the global average) correlates with local human activity (traffic, seasonal heating, etc) down to the weekly time scale? Oh, and for the 'whole data,' do you include Law Dome CO2? "People here have been ignoring that which is inconvenient." That's just flat incorrect, almost to the point of being funny. Anything with the word 'inconvenient' in it these days is always a good laugh line. "Looking at the plot as a whole, the declining slope in the CO2 increase becomes evident." No, go back to the graph DB posted at #7 and let's play 'find the declining slope.' The game starts when you fit lines with slopes of 0.5 ppm/yr, 0.75 ppm/yr, 1 ppm/yr, 1.25 ppm/yr, 1.5 ppm/yr, etc. beginning at 315 ppm in 1958. Then let's talk about 'declining slopes.'
  11. The Medieval Warm(ish) Period In Pictures
    No, Eric, timing and strength depend on WHERE the proxies come from - hence the preferred name of MCA. Not a simultaneous global warm period. Also, to the idea that MCA was warmer than now if only you used proxies, well there are a couple of rather important proxies to consider. One is sealevel - where is the evidence of global sea level higher in MCA? The other is glacier. How come glacial retreat worldwide is exposing rock that hasnt seen light of day for 1000 or more years?
  12. Trenberth on Tracking Earth’s energy: A key to climate variability and change
    Suggest that John Cook invite Dr James Hansen to do a guest post about his views on the "missing heat."
  13. Visions of the Arctic
    Nice story and great pictures. Thank you.
  14. What we know and what we don't know
    Eric the Red - I strongly suggest you take this up with Tamino (links here, from Albatross). He has rigorously demonstrated a statistically significant greater than exponential growth in CO2. Cherry-picking single years, as you suggest, isn't science - it's denial. I will note that Tamino is somewhat, er, less accommodating of unacknowledged dyscalculia than most people here.
  15. Eric the Red at 05:35 AM on 13 July 2011
    What we know and what we don't know
    Tom, Based on your previous post, would you expect less than linear growth this year due to the strong La Nina? Even with the strong increase in emissions, the rate of CO2 increase is decelerating. I am looking at the whole data, that is why I can see the changes. People here have been ignoring that which is inconvenient. Look at your last plot. Would you choose 1998 as your starting point? No, that would be obviously cherry picking. Looking at the plot as a whole, the declining slope in the CO2 increase becomes evident.
    Moderator Response: [Dikran Marsupial] I am going to drop out of this discussion at this point. Albatross has provided you with links to analyses performed by Tamino that show statistically significant evidence that the rise is non linear. Please go and review the evidence that Tamino has provided; and if you can find a methodological fault in his work then do tell us about it. However, unless you can do that, I suggest this minor issue be considered off-topic for this particular article.
  16. The Medieval Warm(ish) Period In Pictures
    scaddenp#22: "That said, I think Eric is onto a rich vein of denial memes" 'Warmer weather is good for glaciers' should have an especially good run. Our current warming must therefore be the teaser for the upcoming fourth Ice Age, which is scheduled for worldwide release in July 2012. Manny, Diego, and Sid - embark upon their greatest adventure after cataclysm sets an entire continent drift. Separated from the rest of the herd, they use an iceberg as a makeshift ship, which launches them on an epic seafaring quest. ... as they encounter exotic sea creatures, explore a brave new world, and battle ruthless pirates.
  17. A Detailed Look at Renewable Baseload Energy
    Oh, in my previous post I should note that the 4 W/m^2 power density is for a 1000 kWh/yr site with 12% efficient cells - using current technology in a far from ideal location. Using 30% efficient CSP in a 2000 kWh/yr site (>230 Wh/m^2 average from MacKay, not the 200 BBD introduced), such as in the tropics, or even 20% efficient PV, the power density for solar will easily exceed strip-mined coal land use power density over a 30 year run. And coal, as we all know (as with all fossil fuels), is a limited resource... Again - area used does not hold up as an objection to solar power. May we now move on to other things?
  18. What we know and what we don't know
    Eric the Red @15, the last few years have shown a lower than usual growth in CO2 content because: 1) There was a decline in emissions in 2008 related to the Global Financial Crisis: 2) There was an increase in oceanic absorption of CO2, particularly in 2008, because of a strong La Nina. Despite this the trend in the growth of CO2 concentration was positive over the period 2005-2009 (the last year in Tamino's analysis): Let me emphasise that, even with the Global Financial Crisis and the coolest global temperatures in a decade, growth in CO2 concentrations was greater than linear. So unless you are projecting the GFK as the new economic norm, and 2008 temperatures or less as a constant feature for the coming decades, the last few years have had unusually low growth in CO2 concentrations relative to normal conditions. If, instead of cherry picking aberrant conditions for your projections, you take the whole of the data, we can expect continued faster than exponential growth unless serious measures are taken to restrict emissions.
  19. A Detailed Look at Renewable Baseload Energy
    There was a reference, Vaclav Smil 2010, along the way in this discussion, claiming that the power density of the Waldpolenz Solar Park (also mentioned along the way) was only just above 4 W/m^2, due to fill factor, inefficiencies, etc., and arguing that this was a reason not to go with renewable sources. This power density does turn out to be accurate. As a numbers check against the earlier LAGI discussion: Waldpolenz occupies 110 hectares, using 12% efficient cells, and generates ~40,000 MWh per year. 4*10^7 kWh/year, divided by 1.1*10^6 meters, comes out to about 36 kWh/m^2 per year. Divide that by the cell efficiency, 12%, and you see collectors are intercepting 303 kWh/yr, converting 12% as an end product. There may or may not be a factor of 0.85 in DC/AC conversion in this, meaning that the panels would be intercepting 356 kWh/yr. Insolation in Germany is about 1000 kWh/yr, meaning that for fixed PV panels the Waldpolenz effective fill factor, the sunlight intercepted, is >= 30% of total sunlight available. A scaling factor of ~3 is therefore quite reasonable between collector area and plant area - even for simple fixed PV panels. --- Smil then compares this power density to that of coal - but only from deep mines, with 20T/m^2, leading to a power density per year of 2.5-4.8 kW/m^2. Strip mines (New Mexico figures) have a best case density of ~2T/m^2, which puts the power density in the 250-480 W/m^2 range per year. So - in terms of land use, coal from deep mines (limited/expensive) is much more concentrated, but over a 30 year power production run, strip mines (the current preference) have an energy density of 8-16 W/m^2, only 2x-4x that of a 30 year solar power plant. And that coal land can never be used for coal production again - it's once through only. Area used is just not a good argument against solar power.
  20. A Detailed Look at Renewable Baseload Energy
    Yeah, it is amazing that the 'land area' arguments against renewable power keep popping up... despite countless real world examples of dual purposing land so that wind power uses very little 'extra' space and solar power uses none. Solar panels are going up on the roofs of tons of large buildings across the United States: malls, warehouses, schools, et cetera. Some of these actually generate more power than they use and thus are not only decreasing their own future power bills, but becoming power plants for neighboring consumers. Large parking lots are another area currently seeing alot of solar development. I suspect that within a few decades it will be more common than not for these type of large structures to be solar covered. It just makes sense to profit from 'sunlight resources' on property which is already needed for other purposes.
  21. Dikran Marsupial at 04:52 AM on 13 July 2011
    What we know and what we don't know
    Eric the Red You do realise the 1975 start date is a cherry pick? You have obviously chosen the start point to maximise the evidence for your hypothesis. Can I suggest that we abandon this topic of conversation. Eric seems to have quite neatly derailed the discussion of the topic of the article with pointless quibbling about whether the growth of atmospheric CO2 is exponential or linear, despite the fact that Tamino has already covered this with a much more solid analysis than Eric's (it even includes a test for statistical significance - take note Eric).
  22. A Detailed Look at Renewable Baseload Energy
    KR It all boils down to which numbers you use for power density of plant (average raw energy density x plant conversion efficiency). As you point out at #300: (200W/m2 x 20%) x 24 x 365 = 350.4kWh/m2/year LAGI says 400kWh/m2/year. Completing LAGI's area calculation gets this: 198,721,800,000,000/350.4 = 567,128,424,657.5 or 567,128 km2 A 13.5% exaggeration. Still, not really enough to overturn LAGI. But After MacKay, using 15W/m2 for CSP: 15W/m2 x 24 x 365 = 131.4kWh/m2/year 198,721,800,000,000/131.4 = 1,512,342,465,753.4 or 1.5 million km2 After Smil, using 10W/m2 for CSP: 10W/m2 x 24 x 365 = 87.6kWh/m2/year 198,721,800,000,000/87.6 = 2,268,513,698,630.1 or 2.3 million km2 My problem is that I simply do not believe the power density estimates employed when people are talking up the potential vs footprint of renewables. And I have real-world data on my side. This has gone on for long enough (I'm sure if nothing else, we all agree on that). Given that MacKay calculates with a 100% packing factor while Smil looks at actual plant footprint, the truth is going to be somewhere above 2 million km2. A very big difference from 500,000km2.
  23. Eric the Red at 04:43 AM on 13 July 2011
    What we know and what we don't know
    CB, Best to look at a moving average. I used a 5-year moving average, which has changed very little in 13 years; 2.00 in 1996, 1.98 in 2008, ranging from 1.74 to 2.14. The low values during the 1990s yield a misleading spike in the 2000s. This is the problem with cherry-picking values.
  24. Dikran Marsupial at 04:43 AM on 13 July 2011
    What we know and what we don't know
    Eric the Red. You have got the situation 180 degrees the wrong way round. The reason we have statistics is because we are able to see in noisy data pretty much anything we wish to see. However being able to see some pattern in the data doesn't mean that it is meaningful rather than an artifact of the noise. Statistical hypothesis testing is one way in which we can guard against jumping to such conclusions. Your analysis did nothing to suggest that the hypothesised departure from exponential is anything other than an artifact of the noise. In short, you can do "more than that", you can devise some test that demonstrates that there is statistically significant evidence for your hypothesis.
  25. What we know and what we don't know
    I sense something Monckton'esq going on here, and more strawmen arguments from contrarians to distract us from inconvenient truths...darn it I should be doing other stuff. Tamino has addressed this silliness here and here. He concludes: "CO2 has increased faster than exponential. Even using the shorter NOAA global dataset. And yes, the result is statisically significant." EOS.
  26. What we know and what we don't know
    Let's examine a 10 year running average; 1961-1970: 0.898 1971-1980: 1.336 (+0.438) 1981-1990: 1.547 (+0.209) 1991-2000: 1.545 (-0.002) 2001-2010: 2.043 (+0.498) From this we can see that there was a 'leveling off' in the 90s (mostly due to 1992 having the second lowest increase on record), but then increases accelerated in the 2000s. Note again that these are increases in the rate of increase... a linear rise would have these values staying steady. Instead, the most recent ten years show the largest increase in the series.
  27. Dikran Marsupial at 04:13 AM on 13 July 2011
    What we know and what we don't know
    Eric, I wrote: "If you can show me an anlysis that robustly demonstrates that it is linear (rather than there just isn't enough data over shuch a short time span to distinguish between linear and exponential with statistical significance) then I am happy to stand corrected." You failed to do so, you still have failed to do so. Now I've had enough of this nonsense, TTFN.
  28. A Detailed Look at Renewable Baseload Energy
    Tom - Agreed, the land cost is not a huge factor, especially with dual purpose land such as you show here. I actually suspect the major factors will be political, in the large scale grid interconnectivity needed to support distributed power generation, making it robust against weather variations, and in changing where the $$$ for power goes rather than to OPEC. I'm always puzzled by "we can't do it" objections such as the ones that have appeared in this thread. They just don't make sense. --- Side note/thought experiment: I think that if you set up rectangular mirrors trimmed from parabolic shapes, you could put them together with near zero waste space. Off vertical, each would partially shade neighbors behind it, but the full field area should still receive complete coverage. Again, though, land is relatively cheap, and you're going to want some room for servicing the collectors.
  29. Dikran Marsupial at 03:44 AM on 13 July 2011
    What we know and what we don't know
    Eric the Red I like the "our point", most amusing. CBDunkerson's plot directly refutes your assertion that "The rise has been fairly linear since 1975.". That assertion is clearly incorrect, has been challenged, the challenge ducked and now you are trying to suggest that we had been making the same point! Your chutzpah is beyond belief!
  30. A Detailed Look at Renewable Baseload Energy
    Further to 301, exactly how much area of the Earth's surface should we count this Million kWh per annum solar power plant as occupying? It does not use a single square mm of land that is not already being used for another purpose. The opportunity cost of the roof area used is very close to zero. In North Africa, along the coast, if excess power production is used to run desalination plants, solar power plants may even have a negative opportunity cost. That is, they may actually increase the area of available arable land by providing water to allow arid land to be irrigated. Again, the point is that the idea that we should measure efficiency in terms of total plant area instead of total collector error is a serious distortion.
  31. Eric the Red at 03:27 AM on 13 July 2011
    What we know and what we don't know
    Yes CB, that was our point. The rate of CO2 increase was increasing as your graph shows, but is now averaging about 1.8 ppm/yr. http://www.esrl.noaa.gov/gmd/ccgg/trends/
    Response:

    [DB] Looking at all of the data instead of the standard dissemblers cherry-picked start dates:

    AGR

    year  ppm/yr
    1959   0.94
    1960   0.54
    1961   0.95
    1962   0.64
    1963   0.71
    1964   0.28
    1965   1.02
    1966   1.24
    1967   0.74
    1968   1.03
    1969   1.31
    1970   1.06
    1971   0.85
    1972   1.69
    1973   1.21
    1974   0.77
    1975   1.13
    1976   0.84
    1977   2.10
    1978   1.29
    1979   1.75
    1980   1.73
    1981   1.43
    1982   0.74
    1983   2.17
    1984   1.37
    1985   1.27
    1986   1.45
    1987   2.33
    1988   2.12
    1989   1.31
    1990   1.28
    1991   0.98
    1992   0.46
    1993   1.36
    1994   1.93
    1995   1.93
    1996   1.23
    1997   1.92
    1998   2.98
    1999   0.90
    2000   1.76
    2001   1.57
    2002   2.60
    2003   2.30
    2004   1.55
    2005   2.50
    2006   1.73
    2007   2.24
    2008   1.63
    2009   1.89
    2010   2.42

    [Source]

     


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  32. A Detailed Look at Renewable Baseload Energy
    KR @300, I do not know of any actual designs, so no, I cannot provide links. But it is certainly possible to do. One potential design would be a field divided squares each filled by a fixed parabolic reflectors. A series of gantries could be mounted each field line of squares, able to track east or west to follow the focal point of each parabolic section during the day, with a carriage on the gantry carrying a sterling engine, and able to move north-south to track seasonal changes. Because the mirrors are fixed, they can be butted together with no gaps, except for the rail to carry the gantry. Is it practical? No. Is it economical? No. Can it be done? Yes. The point is the argument that we should measure our efficiency in terms of the land area of the plant (at $10 an acre, or whatever picayune price it costs in the Sahara) rather than in terms of the area of the collectors is nonsense. Land area is a factor in England, but primarily because the low solar intensity means greatly enlarged areas are needed for the same power generation. In Singapore and Hong Kong land area is definitely a factor, and I am happy to predict that we will never see a CSP plant in either. But even in farmland in Granada, Andasol considers land so small a relative cost that they could not even bother building the power plant and salt storage tanks underground to allow collectors to be run over the top of them. The cost per m^2 of land is not the limiting factor of solar power. The cost per m^2 of collectors is.
  33. What we know and what we don't know
    Actually, the rate at which the atmospheric CO2 concentration is increasing... is itself increasing;
    Response:

    [DB] As supported by this Wood For Trees graphic:

    WFT

    [Source]

    Yup, greater than linear.

  34. 2010 - 2011: Earth's most extreme weather since 1816?
    For those still following this thread, The skeptics are misrepresenting Trapp et al's findings. Nowhere in their 2007 and 2009 papers do they even use the word "supercell". So no, they do not hypothesize that CAPE is the dominant factor in determining supercell formation as is claimed @330. Besides, severe weather can be caused by other types of thunderstorms (e.g., multicell, MCSs before they go upscale, squall lines, derechos etc.). Moreover, Trapp et al. state very clearly that they are identifying "severe thunderstorm environmental conditions". Their motivation for using the product of CAPE and 0-6 km wind shear is solidly rooted in theory and has been corroborated by empirical studies comparing proximity soundings to severe events. An interesting tidbit. Brooks et al. (2003) looked at the magnitude of the vector wind difference between the surface and 6 km (m s^-1) and CAPE (J kg^-1) for all reanalysis soundings associated with severe thunderstorms in US for 1997–1999. They found that as CAPE increased, the 0-6 km wind shear required to produce significant severe storms (i.e., hail of 5 cm or greater in diameter, wind gusts of 120 km hr^-1 or greater, or a tornado of F2 intensity or greater) decreased. The graph looks similar to the one below (sorry I have been unable to identify the source, nor find a suitable graphic that is not embedded in a PDF): [Source] Why this is, is an interesting story....but now I really do have to take care of some work.
  35. A Detailed Look at Renewable Baseload Energy
    BBD - How about you answer a question? ~225 W/m^2 daily hour average * 24 * 365 = ~2000 kWh/year/m^2. 1000 W/m^2 peak * 2000 hours effective peak available = ~2000 kWh/year/m^2 2000 kWh collected at 20% efficiency is 400 kWh/year. For both computations, when done right, as 2000 = 2000. You (repeatedly) claim the peak * peak available is incorrect - if so, why isn't the average hourly rate times the number of hours? Either both are right, or both are wrong. And, as the moderator stated, 'trickery' is not an appropriate term. If you cannot accept that you made an error here, BBD, I cannot expect that you will be an effective contributor to the various discussions. --- Tom - Thanks for pointing that out, I was not aware of field designs with zero waste space, although I knew parabolic trough designs get close to that. Any links you can point me to?
  36. Dikran Marsupial at 02:38 AM on 13 July 2011
    What we know and what we don't know
    Eric the Red O.K. I see that you are merely trolling, as exemplified by the fact that rather than produce some evidence that the rise in CO2 is linear rather than exponential, or admit that you have no such evidence, you point out that linear is a special case of exponential as if that somehow made your point (rather than mine). Sorry Eric, life is too short. The idea that there is no essential difference between linear and exponential I'm sure will revolutionise the field of control theory! ;o)
  37. A Detailed Look at Renewable Baseload Energy
    BBD @296, MacKay's method (not the standard method) only provides an accurate estimate of plant output for fixed horizontal collectors. For other types of collectors, different methods should be used, as detailed here. As can be seen below, different collection methods behave quite differently in terms of seasonal performance, and in terms of total power collected trhough the year:
  38. Eric the Red at 02:31 AM on 13 July 2011
    What we know and what we don't know
    Yes Dikran, An exponential with a zero exponent is linear, so there is essential no different between the two. Using a continuation of past data works for the short term. At some point, the trend will change. We just do not know in which direction, how fast, or for how long. An example uses the 1970s prediction of mass starvation based on the exponential population increase and linearly rising food production. Nice quote. I need to remember that.
  39. A Detailed Look at Renewable Baseload Energy
    BBD wrote: "Please clarify for me why LAGI's use of peak 1000W/m2 x 20% for every single sunlight hour in its calculation is not incorrect? LAGI assumes 8 hours per day and 250 sunshine days a year" The Sun only shines 8 hours a day and 250 days a year on your planet? You should move. It is much sunnier here on planet Earth.
  40. A Detailed Look at Renewable Baseload Energy
    KR @294, your points are correct except for one. It is perfectly possible to design collectors with 2 axis tracking and zero waste space. There will be a loss of efficiency, but that will be inversely proportional to the size of the field and can be reduced to less than 5%. It is not economically worthwhile doing this because in most areas the land is so cheap relative to the cost of the collectors. Actually, LAGI's calculation of the minimum area needed is quite correct. ON the other hand, an estimate of three times LAGI's figures as the practical requirement is also valid, but only because economically, the land area is inconsequential as a cost (except in Singapore and other similarly crowded states).
  41. A Detailed Look at Renewable Baseload Energy
    KR
    Either ~225 W/m^2 daily hour average * 24 * 365, or 1000 W/m^2 peak * 2000 hours effective time at that peak = ~2000 kWh/year/m^2. Please clarify for me why LAGI's use of peak 1000W/m2 x 20% for every single sunlight hour in its calculation is not incorrect? LAGI assumes 8 hours per day and 250 sunshine days a year and cacluates: 8 x 250 = 2000 hours BUT it uses 2000 hours of 200W/m2 (eg peak mid-day) output: 2000 x 200 = 400,000 or 400kWh Which is wrong. I do not understand you point about mixing equations in #288. I used the standard method instead of LAGI's because the annual average energy density is a much better indicator of annual average plant performance (assuming a conversion efficiency is included). The average raw energy density x plant conversion efficiency will give the most accurate estimate of average plant output. That's why it's the standard method (eg MacKay) for obtaining them.
  42. A Detailed Look at Renewable Baseload Energy
    BBD @292:
    "What I am doing avoids the trickery by LAGI, which uses peak for every single sunlight hour in its calculation."
    Is that that same "trickery" that assumes there are only eight hours of daylight in any day? Or the same "trickery" that assumes that only 250 days of a year have clear skies in the Sahara? I don't see any complaints from you about LAGI's trickery that reduces the expected power generated. Regardless, as I have shown with the Albaquerque data, with 2-axis tracking, close to the equator you gain approximately the same energy for four hours on either side of noon. Hence there was no trickery from LAGI at all.
  43. A Detailed Look at Renewable Baseload Energy
    Various readers - Given that solar power levels are presented in various formats, it's easy to miscalculate available energy due to a mis-conversion (as seen in this thread). The Wiki Insolation page, in the "Applications" section, has a conversion table that might be helpful in this regard. Given tropical insolation, and solar collection efficiencies of ~20%, roughly 500,000 km^2 of solar panels or CSP collection mirrors would supply an average of 23 TW to the world - sufficient for mid-century power supply including transportation. Note that there will be infrastructure (towers, supports, panel spacings, energy storage facilities, etc.) that enlarge this by some factor, but it's a reasonable estimate of what would be needed as collection area. Wind power follows similar calculations for area, and the Surface Area Required to Power the Whole World With Solar and Wind Power shows those at scale. Note that just solar or just wind isn't on anyone's horizon - nuclear, wave, geothermal, and biomass cann all make contributions as replacements for fossil fuels. But it at least gives some perspective.
  44. A Detailed Look at Renewable Baseload Energy
    BBD @288, there is not a "correct method". There are just different methods. In what you call the correct method, an implicit assumption is that all solar collectors are laid horizontal to the ground, and are never tilted to track the sun. That is, of course, a false assumption. In contrast, the LAGI method assumes that the projected power plants will use collectors which track the sun both for season and for time of day (ie, on two axis). That is also a false assumption, but closer to the truth. Further, as the are calculating the minimum area required to provide the worlds power, it is the correct approach. In calculating the minimum, they do not assume that if all the worlds power was generated by solar (which they recommend against), that the minimum area will be in fact achieved. If we look again at the summer solstice clear sky data for Albaguerque, New Mexico (below), you will see that both two axis tracking collectors, and single axis tracking collectors orientated on the North-South axis both collect nearly the same energy throughout day light hours. Significantly, they collect nearly the same value as at noon for the four hours on either side of noon, ie, for eight hours a day. That fact justifies LAGI's method. It is only if you assume the collectors will not track the sun during the day that LAGI's assumption is false. Indeed, during the winter solstice, a one axis tracking, N_S axis collector actually performs better during mid morning and mid afternoon than it does at noon (see chart @269 above). It should also be noted that the 2 axis tracking collectors do not perform as well in mid morning and afternoon as at noon (though much better than the N-S single axis tracking). That is because of the very low angle of the sun. Therefore LAGI's assumption only holds when the angle of the sun is not very low, ie, for sites in the tropics.
  45. A Detailed Look at Renewable Baseload Energy
    CBDunkerspn
    However, what you are doing is applying AVERAGE insolation for only the time per day and days per year when PEAK insolation is available. That is obviously incorrect.
    The average includes the peak. What I am doing avoids the trickery by LAGI, which uses peak for every single sunlight hour in its calculation. That is obviously incorrect.
    Response:

    [DB] If you persist in casting aspersions of "trickery" to methodologies which give answers different to those methodologies which you employ, you will find it even more difficult to participate in this discussion...

  46. A Detailed Look at Renewable Baseload Energy
    BBD - OK, I'll try this one last time. Yearly power incident on a tropical site: Either ~225 W/m^2 daily hour average * 24 * 365, or 1000 W/m^2 peak * 2000 hours effective time at that peak = ~2000 kWh/year/m^2. Don't mix the equations, BBD, don't cross the streams. The same amount of energy can be computed either way. 2000 kWh/year/m^2, collected with 20% efficiency, is 400 kWh/year/m^2 power output. --- Now, using your method correctly, given 228 W/m^2 as a 24 hours a day average, 365 days a year (MacKay figures), * 20% efficiency = 45.6 W/m^2 average power year round. 45.6 * 1,000,000 m^2/k^2 * 500,000 km^2 = 2.28*10^13 = 22.8 TW. --- Please, BBD, correct your math - use one equation or the other, but stop mixing the two. Your math is wrong, your conclusions are therefore wrong; you're scaling 24 hour daily averages with the time that peak power is available.
  47. A Detailed Look at Renewable Baseload Energy
    BBD: This is really quite simple. Either of the approaches below would be reasonable; 1000 W/m^2 peak insolation * 20% efficient panels * 8 peak hours per day * 250 peak days per year = 400 kWh OR 250 W/m^2 average insolation * 20% efficient panels * 24 hours per day * 365 days per year = 438 kWh However, what you are doing is applying AVERAGE insolation for only the time per day and days per year when PEAK insolation is available. That is obviously incorrect.
  48. A Detailed Look at Renewable Baseload Energy
    #276 Tom, I understand that when someone is saying "I'm gonna kill you", he or she probably doesn't mean it the literal way. But I wasn't going to read LAGI or whatever. BBD simply quoted them and nobody has said that BBD misquoted them. "...1000 watts that strikes the surface in each SM of land" is factually and utterly false; I'm tempted to add shamefully. That doesn't make the conclusions in LAGI wrong -in fact what everybody have quoted here looks 'rightish' at a conclussion level-. Also, that doesn't make BBD arithmetic a sound one either. The fact here is we are not talking of Aristotle. LAGI is not a dead scholar from times gone and the text is not written in a parchment so it's easy to use a text editor and change the content of the site. There's no excuse. In fact those verbal blunders allow the BBDs in the world to continue their harangues. That should concern you, not showing instead how deeply wrong is BBD's, or making of me a substitute target. Making infantile math like 20% of 1000 during 2000 only attracts the infants and allows the mathematically infantile to flit about.
  49. A Detailed Look at Renewable Baseload Energy
    KR Okay. LAGI has tied us all in knots. Let's try again. Here's my take for dissection: LAGI is based on an unrealistic estimate of output from solar plant. It generates an exaggerated value for this as follows: It takes the peaking mid-day figure of 1000W/m2 and applies a 20% efficiency: 1000 x 20% = 200W/m2 This figure will be correct for the middle of the day. It is the highest possible output the plant can achieve. Peak. LAGI then uses this peak value for every sunshine hour in its caclulation. It assumes 8 hours per day and 250 sunshine days a year. Perfectly reasonable. 8 x 250 = 2000 hours BUT - 2000 hours of 200W/m2 output: 2000 x 200 = 400,000 or 400kWh Which is a substantial exaggeration based on: - the incorrect assumption of constant 200W/m2 plant output - non-standard method This then forms the basis of its estimate of 500,000 km2 = 23W. The correct method is:
    average raw energy density x plant conversion efficiency = average output
    200W/m2 x 20% = 40W/m2 It looks like I am applying a 20% conversion efficiency on top of LAGI's 20% conversion efficiency. But I am not. I'm using the standard method. This is why we are all confused. I am more convinced than ever that LAGI is a deliberate attempt to mislead.
  50. The Medieval Warm(ish) Period In Pictures
    #35 Rob, I've got the gridded data from climate normals 1961-1990 as an anomaly on a 1941-1970 base. This is the graphic -using a 250km radius-: Now I have the problems of having two different grids and that those gridded data in Figure 1 are supposed to be plotted using a Matlab file. But I think that I'll finally manage to get a 5° grid for the image and to write a script to take gridded info from Figure 1 in order to develop a graphic that will approximately show what I am speaking form the very beginning. By eyeballing both images I could notice what I expected -what is dangerous itself: to expect- in comparison with Figure 1: even a bit warmer Iceland and Greenland, not so turbulent Mongols and Tartars, and about the "Figure 1" for LIA -Figure 2 in Mann et al- a confirmation of the reason for my city of birth to be established twice.

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