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power data for Germany: 4 of 45 turbines, power < 0 ? #1

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denis-bz opened this issue Sep 16, 2022 · 3 comments
Open

power data for Germany: 4 of 45 turbines, power < 0 ? #1

denis-bz opened this issue Sep 16, 2022 · 3 comments

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@denis-bz
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denis-bz commented Sep 16, 2022

Hi Climetlab people,
may I bother you with a couple of problems:

  1. cml.load_dataset("maelstrom-power-production", wind_turbine_id=turbineid )
    works ok for turbines 1 .. 4, but 5 .. 45 raise errors
    requests.exceptions.HTTPError: 403 Client Error: Forbidden for url: 
    https://storage.ecmwf.europeanweather.cloud/MAELSTROM_AP6/production_data/wind_turbine_5.nc
  1. for turbines 1 .. 3, there are a few way-off values:
production: (228105, 1, 1, 1)     quantiles [-6549 -6 23 165 423 860 6552]
  min -6.55e+03 at (175558, 0, 0, 0)  max 6.55e+03 at (154941, 0, 0, 0)

Could this be related to "phantom strom" -- do you have that in the UK ?

By the way the Jupyter notebooks, Maelstrom pdf table 4.3,
are now under https://github.com/4castRenewables not https://github.com/faemmi .

climetlab version: 0.11.31

Thanks,
cheers
-- denis

@faemmi
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faemmi commented Sep 21, 2022

Hey @denis-bz,

  1. Unfortunately, we are only allowed to provide data for 4 of the previously 45 turbines. We are really sorry for this, but this is out of our responsibility since we (4cast) are not the owner of the data. This has been updated in the README.md roughly 1 month ago already.
  2. Yes, there are a few outliers that might show extremely large and unrealistic positive or negative production. We are not entirely sure about the origin of those, but they're likely just a result of technical issues and thus should be cleaned from the data before processing them.

Regards
Fabian

@denis-bz
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Thanks @faemmi,
missed that in the Readme
also missed your utils/*py -- looks pretty good, redid a bit of that :(
more tomorrow

@denis-bz
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@faemmi,
forwhatitsworth, a summary of the 4 turbines and comparison with GWA --

# Wind turbines from www.maelstrom-eurohpc.eu  https://github.com/4castRenewables/climetlab-plugin-a6
# gwa50: from globalwindatlas DEU_wind-speed_50m.tif
# written 2022-09-30 Sep 13:22  by bz wind/maelstrom/sum-maelstrom.py

 lat  lon Thi Cap% KWav KWmax Windav gwa50 gwacap%
52.2 11.2 152   19  163   841    5.8   6.2      47
52.0 13.7  51   17  312  1848    5.1   5.8      43
52.7 14.1  75   19  379  1971    5.3   6.4      49
52.3 14.4  89   24  486  2025    5.9   6.1      47

Can you or your colleagues point me to other windspeed and power timeseries, onshore
or a wiki for that ?
Thanks,
cheers

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