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Green Building Bible, Fourth Edition
Green Building Bible, fourth edition (both books)
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    • CommentAuthorCWatters
    • CommentTimeNov 14th 2011
     
    Article claims if gas rather than hydro is used as a backup the overall impact of wind energy might be to increase rather than decrease C02 emissions.

    http://www.clepair.net/IerlandUdo.html

    Wind energy in the Irish power system
    Fred Udo

    Selected Quotes

    The April data of the Irish electricity system shows clearly, that the combination of wind energy with gas turbines does not achieve the goal of CO2 emission reduction, if no storage of energy is present. In general it is shown that the CO2 saving decreases with increasing wind contribution to the electricity supply.

    This analysis does not take into account the energy necessary to ramp the conventional generators up and down nor the energy to build windturbines nor the extra transmission lines with their additional losses. It is highly probable, that taking al these effects into account will show, that the few per cent gain in CO2 will revert to a loss (i.e. an increase in CO2).
  1.  
    Answer- ditch gas and use hydro then. Win win me thinks,
    Gusty.
    • CommentAuthorJoiner
    • CommentTimeNov 14th 2011 edited
     
    Errr...

    "The Irish system performs slightly better in other months probably due to the greater contribution of hydropower, but it never comes near to the promises made by wind energy advocates."

    It's worth taking time to actually read the article very carefully. :wink:

    "It appears, that the drought in the first half of the year 2011 has adversely affected the use of hydropower in the months April to June 2011. This enables us to study the CO2 emissions in absence of hydro power."

    "The utilisation of the pumped hydropower station during 2011 is affected by a renovation of the installations."
  2.  
    Surely one problem here is what they are actually looking at - CO2 vs wind contribution to power. It seems to me that the % wind contribution will, on average, be greatest when total consumption is low - and the grid is running primarily on baseload generators (coal and peat) rather than quick response generators like gas. Not surprising in that instance if CO2 seems to increase.
    •  
      CommentAuthorfostertom
    • CommentTimeNov 14th 2011 edited
     
    The answer is not gas vs any other kind of stopgap instant-on generation backup - but is storage. That's the future, and inseparable from any kind of interruptible generation.

    All we need is national fleets of electric cars/vehicles, a predictable %age of which will be 'on charge' at any given time, and which can discharge (when the grid needs a boost) as well as charge. All incentivised by instantly-fluctuating tariffs via smart metering. So someone who's happy to accept a long slow charge-up gets a v low tariff, allowing charge/discharge periods as and when the grid requires, but with guarantee to be fully charged at the end of the specified time. Whereas those requiring rapid uninterrupted re-charge pay dearly for it. http://www.rmi.org/cms/Download.aspx?id=1112&file=PreRead_v2.1_Core.pdf&title=Smart+Garage+Charrette+PreRead+Core
    •  
      CommentAuthorSteamyTea
    • CommentTimeNov 14th 2011
     
    I bet I could make any figures read which ever way you like, and still be factually correct :wink:

    Shall read those articles later.
  3.  
    Bang on ST.
    • CommentAuthortony
    • CommentTimeNov 14th 2011
     
    Wind farms save us having to produce energy by some other means.

    They produce virtually pollution free energy.

    They are the best thing we have dont knock them

    I wish that they were underwater where they cant be seen or heard and the amount invested if it had been used on tidal would have been better spent on that.
    • CommentAuthorkev67
    • CommentTimeNov 14th 2011
     
    I can't make much sense out of it at all. One of his graphs seems to show that CO2 emissions dip when 'wind penetration' peaks. His wind penetration metric is calculated by dividing wind energy by the total energy demand, so like Chris says, wind penetration would tend to be higher when the total energy demand is lower. This is when the share of energy generated by the baseload coal and peat plants is higher as gas is turned off. However, he also says,

    "The data at low wind penetration shows, that the fuel mix has been switched from gas to coal/peat several times during this month."

    This seems to suggest that gas is used as baseload with coal/peat switched on to meet peak load when there's insufficient wind. I still can't see how that would cause higher CO2 emissions to correlate with higher wind penetrations.

    I also do not understand his CO2 intensity calculations. For example, in one graph he gives the average CO2 emissions as 547g/kWh with a wind penetration figure of 28%, so he calculates the CO2 intensity as

    547g/kWh * (1 - 0.28) = 394g/kWh.

    I don't understand that calculation at all. On the same graph he's drawn a trendline that intersects with the zero wind penetration axis at 398 g/kWh and this is the figure he uses to compare CO2 intensity with 40% wind penetration.

    I think he's made some mistakes, but even if he has not, his graphs could be more informative. The wind penetration metric is a poor one because it is dependent on two variables, wind energy production and total demand. When wind penetration varies, you don't which of the two variables is changing. It may have helped to have similar ratios of gas penetration and peat/coal penetration on the same graphs along with total demand.
    •  
      CommentAuthorSteamyTea
    • CommentTimeNov 14th 2011 edited
     
    I just looked at the monthly figures (Tables 1 and 2) and did some simple correlations for charting purposes.

    But before I show them READ THIS.

    CORRELATION DOES NOT SHOW CAUSALITY.

    (shouting at the person who did the report)

    For causality you need a scientific mechanism, and the one I would suggest there is total load not wind penetration.
    The odd thing though is when plotting Hydro, I would suggest here that there is some pumped storage or that draught was really bad.
    I do have some sympathy as these schoolboy errors are easy to do and lead onto others very rapidly (shall I mention wood burning and land usage change, no, won't bother).

    So before I show some simple charts of CO2 and Generation Levels I shall give a quick Statistics Lesson.

    1) The Slope [f(x)=] is either Positive or Negative, in this analysis Negative means less CO2 as generation as capacity is increased.

    2) The Coefficient of Determination [R^2) is very important, very very important, it is the fraction of data that is captured by the Trend Line, multiply it by 100 and you get a percentage. The higher the number the better the quality and therefore more accurate.

    3) Lurking Variables, yes this is the real term and in this instance will include mainly the weather and uncertainty of the energy mix.

    4) If you read a report with statistics on it and it does not show the number of data points (n) then it is probably rubbish, the exception to this would be if they showed the Standard Error (second time today I have mentioned that).

    5) CORRELATION DOES NOT SHOW CAUSALITY
      Total Generation.jpg
      Total Minus Wind.jpg
      Wind.jpg
      Hydro.jpg
    • CommentAuthorwookey
    • CommentTimeNov 15th 2011 edited
     
    Good stuff steamy. You are saying that Udo is simply wrong, right? Can you give a little more detail on the analysis you performed?

    There is a huge thread on this whole subject here:
    http://bravenewclimate.com/2011/05/21/co2-avoidance-cost-wind/
    with piles of links to reports suggesting that adding wind to a network makes the remaining supply run less efficiently. It includes that Fred Udo report.

    But it does also point to this from South Australia where they found that 23% wind penetration caused a just-about 23% CO2 emissions reduction, so not everyone is getting poor results:
    http://www.aemo.com.au/planning/SASDO2011/sasdo.html

    I discussed that thread here too:
    http://www.navitron.org.uk/forum/index.php/topic,14172.0.html
    and particularly the fascinating treatment of 5 highly-dispersed wind datasets by two analysts reaching opposite conclusions with the same data(!):
    http://seekingalpha.com/article/265055-avoiding-wind-power-stocks-geographic-diversity-debunked
    http://seekingalpha.com/article/265511-wind-power-investors-should-also-be-transmission-investors

    The thing that annoys me about this subject is that the people who run grids with non-trivial amounts of wind must already know the answer to this. Can we not have some definitive data and work out who's wrong and who's right.
    • CommentAuthorJoiner
    • CommentTimeNov 15th 2011
     
    "Can we not have some definitive data and work out who's wrong and who's right."

    No, because... "of 5 highly-dispersed wind datasets by two analysts reaching opposite conclusions with the same data(!)"

    ST is insisting that there is a right way of doing things that would lead to a meaningful conclusion, whilst at the same time saying... "I bet I could make any figures read which ever way you like, and still be factually correct".

    I bet that somewhere there is a research paper on working out how to have things both ways whilst having your cake and eating it. :devil:
    •  
      CommentAuthorSteamyTea
    • CommentTimeNov 15th 2011
     
    There are standards and methods for gauging almost every conceivable thing there is, and standards for sampling rates etc. Then there are the statistical quirks like type 1 and type 2 errors, lurking variables, small samples, large samples, samples of sub-sets, tests to compare the means and modes, variances and outcomes against expected. Then you can move onto Baysian stuff, where you know it is loaded from the start (why it is used).

    I think, from what I have read on that report that the quality of the data was poor and there was an assumption that wind power has a CO2 contribution, either negative or positive. If, and I have not looked at the source data, you cannot isolate accurately the energy mix types and their CO2 contributions at different loads then it is a hiding for nothing really.
    Interestingly though I do a similar thing from Damon's excellent website (knowing the limitations, which I think are fewer than the Irish data) and coudl easily show that UK turbines are doing the same thing.
    One of the big unknowns is the spinning reserve and standby capacity, ramp up and down times, CO2/efficiency figures, imports/exports from NI/UK, tolerances ect. They would skew the figures enormously. I also suspect that the distribution losses in Ireland are higher as a fraction than the UK as it is more rural.

    To much speculation to get the true signal out of the noise I think. You only have to look at the R^2 values to see that.
    • CommentAuthorkev67
    • CommentTimeNov 15th 2011
     
    Can anyone tell me whether his CO2 intensity calculations are valid? He multiplies his gCO2/kWh figures by (1 - wind_power/total_demand).

    I get the impression he plotted his gCO2/kWh figures on a graph, drew a trendline, read the figure where the trendline hit the zero wind energy axis and took this as his reference value. Then he took the average the figure for gCO2/kWh with a certain % of demand met by wind power, but found it was unreasonably high compared to his no wind energy value. Then I think he said, 'This figure is too high, how can I make it lower?' so multiplied it by (1 - wind_power/total_demand).
    • CommentAuthorGavin_A
    • CommentTimeNov 15th 2011
     
    what he's actually doing is measuring the carbon intensity of the none wind generators, and showing that in times of high wind the none wind side of things has a slightly higher level of carbon intensity.

    unfortunately he describes what he's done as if it actually means the grid intensity is higher with wind, or only marginally lower, which is wrong as a quick look at the graph with both wind power and carbon intensity of the entire grid clearly shows.

    I read something last night refuting this article that also stated that they'd checked the date ranges he'd used for high wind, and these periods were also periods of cold weather, when heat demand increases, and apparently more CHP plants are operating at full heat capacity, which raises the nominal carbon intensity for the actual electricity generation from these plants. The carbon intensity of the none wind elements also rose during periods of cold with low wind, so the increased carbon intensity is far more likely to be down to the cold than the wind.

    so in a nutshell, it's utter tosh (great phrase) for multiple reasons.
    •  
      CommentAuthorDamonHD
    • CommentTimeNov 15th 2011
     
    Here's an interesting analysis done by a grown-up:

    http://people.bath.ac.uk/en8sc/GridCarbonIntensity.pdf

    Rgds

    Damon
    •  
      CommentAuthorSteamyTea
    • CommentTimeNov 16th 2011 edited
     
    That's a better report eventhough not checked the figures that closely.
    • CommentAuthorJoiner
    • CommentTimeNov 16th 2011
     
    "Using the assumptions noted below, the mean marginal emissions rate for electricity generated in 2009 – 2010 can be calculated to be 697gCO2/kWh. This is 45% higher than the mean emissions rate of 480gCO2/kWh calculated from the same data."

    Assumptions?

    "Although more consideration is given to the varying contribution from gas and coal plant (page 9), it has been difficult to identify the operating strategy with certainty and attempts to predict the response to longer term changes in demand are difficult."

    Difficult?

    Hardly a racing certainty then. :confused:
  4.  
    Posted By: SteamyTeaI bet I could make any figures read which ever way you like, and still be factually correct:wink:" alt=":wink:" src="https:///forum114/extensions/Vanillacons/smilies/standard/wink.gif" >


    There's little truly new in this world:

    "There are three kinds of lies: lies, damned lies, and statistics."

    "Attributed to the 19th-century British Prime Minister Benjamin Disraeli (1804–1881)."
    •  
      CommentAuthorSteamyTea
    • CommentTimeNov 16th 2011
     
    When I was a small child we used to live across the road from his residence. maybe that is where I got my interest in Statistics from :bigsmile:
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