pypsa-eur
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add distribution grid losses
Describe the feature you'd like to see
Please give a clear and concise description and provide context why the feature would be useful. Also, we'd appreciate any implementation ideas and references you already have.
duplicate of #559 ?
@Parisra can you add some sources
Based on the ENTOSE 2022 report, World Bank data, and the 2nd CEER 2020 report, the power loss in the distribution grid for EU countries is between 2-14%, with an average of 7-8%:
So, assuming a 5-7% power loss (assuming improvements in the future) for the distribution grid links would be the simplest way to model these losses.
However, there could be some advantages in having a unique efficiency for each country. The most important effect of including distribution losses when modeling the European energy system is increasing the cost-efficiency of distributed generation sources like rooftop PV [This is investigated in detail in this paper]. This means that if we model Germany with a 4% power loss and Poland with 7%, rooftop PV would be more cost-efficient in Poland than Germany. This result might be negligible though, if the rooftop PV capacity is small compared to other system components, meaning the simple approach would be preferred.
I can implement the country-specific distribution grid efficiency and do a PR if this is the preferred solution. This could be a constant efficiency, or one that is improved as time passes (either at a constant rate or a rate calculated based on each country's historical data).
@Parisra If there is data for country specific losses this would be great and then adding a switch in the config where one can choose to set homogenous losses in all countries or of the country-specific once. Maybe you could add as a first step the constant efficiency per country and then one could think about a second PR to add improvement of the efficiencies.
# 2nd CEER Report on Power Losses; https://www.ceer.eu/documents/104400/-/-/fd4178b4-ed00-6d06-5f4b-8b87d630b060; Table 22. Losses in distribution in %
Country,2010,2011,2012,2013,2014,2015,2016,2017,2018
AT,3.92,3.76,3.44,3.35,3.26,3.22,3.00,2.95,2.88
BA,13.33,11.85,12.41,11.42,10.68,10.45,10.16,9.79,9.26
BE,4.54,4.36,4.58,4.41,4.23,4.36,4.35,4.40,4.27
CY,-,-,-,-,-,-,-,2.93,2.11
CZ,6.35,6.15,5.72,5.62,5.31,5.29,5.25,5.27,5.22
DE,10.57,-,-,-,-,-,-,-,3.15
DK,-,-,-,-,3.76,3.77,3.63,3.38,3.53
EE,6.72,5.93,5.78,5.35,5.65,5.03,4.42,4.95,4.55
EL,5.39,6.91,7.10,5.88,8.13,8.80,9.75,9.33,-
ES,7.51,7.54,8.33,8.67,8.70,8.63,8.48,8.10,8.47
FI,2.15,2.59,2.60,2.56,2.55,2.66,2.92,3.27,3.32
FR,-,-,-,-,-,5.99,5.98,6.02,6.01
GB,-,-,-,-,-,-,-,-,6.70
GE,-,10.31,8.62,7.84,7.38,7.76,7.71,7.39,6.80
HR,8.30,7.83,8.37,8.79,8.14,8.06,7.64,8.04,7.69
HU,9.05,8.81,8.75,8.69,8.52,8.36,8.08,7.84,7.36
IE,-,-,6.84,6.77,6.73,6.62,6.62,6.70,6.70
IT,-,-,-,-,-,-,-,5.23,-
KS*,41.22,38.15,36.69,35.54,33.50,31.82,29.69,29.30,27.91
LT,9.06,8.17,7.76,7.42,7.31,6.76,6.49,6.14,5.96
LU,-,-,-,-,-,-,10.48,8.87,8.37
LV,6.36,6.36,5.91,4.95,4.77,4.58,4.91,4.63,4.43
MD,-,-,-,10.46,9.35,8.42,8.34,8.30,8.31
ME,19.99,19.19,20.84,18.96,17.65,17.11,15.61,14.96,13.83
MK,17.16,18.11,17.38,16.42,15.50,14.76,14.67,14.44,14.18
MT,11.79,11.82,13.54,13.08,9.50,6.74,5.08,4.34,4.68
NL,4.97,4.59,4.47,4.75,4.48,4.26,4.17,4.43,4.38
NO,-,-,-,2.80,2.62,2.68,2.87,2.62,2.59
PL,6.56,5.74,5.75,5.71,5.46,5.32,4.73,4.56,4.45
PT,7.47,7.19,8.37,10.09,9.35,8.90,8.66,9.08,8.74
RS,16.28,15.51,15.16,14.91,14.36,14.43,12.99,12.96,12.20
SE,4.19,4.03,3.86,3.77,3.67,3.64,3.63,3.59,3.49
SI,5.83,4.94,5.25,4.94,4.76,4.74,4.56,4.28,4.18
SK,-,-,-,-,-,-,6.05,5.64,5.52
UA,10.73,10.44,10.54,10.17,10.08,9.79,9.90,9.89,9.84
xref #559
The option to insert electricity distribution network capacities and associated expansion costs were added in https://github.com/PyPSA/pypsa-eur-sec/commit/9b326ba493c27191896e57bd6fdf930b3b354b20. Dealing with the losses is another matter, since I think they're already incorporated in the existing electricity load, so would have to be deducted and then added back.
So the electricity load we take from ENTSO-E statistics should be reduced since they already include the losses:
https://nbviewer.org/github/Open-Power-System-Data/datapackage_timeseries/blob/2020-10-06/main.ipynb
I implemented a simplified version of the distribution grid losses which we can refine in 7ce15931.
- It assumes 3% distribution grid losses (on the lower end of the spectrum)
- It is not yet country-specific.
- It does not include progressions by planning horizon.