pypsa-eur/data/biomass_transport_costs_supplychain1.csv
Bobby Xiong ac606c1f67
Build biomass transport costs from pre-extracted .csv instead of pdf (#1272)
* Removed tabula dependency for building biomass transport costs. Instead use pre-extracted .csvs. Updated rule and script accordingly.

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* Updated script to optionally allow running the script with tabula-py dependency to recreate csv, if needed.

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
2024-09-10 20:51:28 +02:00

2.1 KiB

1countryLoadingLoadingLoadingTransport to plantTransport to plantUnloadingTOTALTOTALTOTAL
2countryTimeMachinery costsWaiting time truck driver60 average speed km/hTrailerWaiting time truck driverFixper kmper km/ton
3countryhEUREUR.1EUR/kmEUR.2EUR.3EUR.4EUR/km.1EUR/km/ton
4BE0.083.561.311.456.421.3112.610.020.47
5BG0.082.060.561.062.610.565.790.020.22
6CZ0.082.340.621.14.080.627.650.020.29
7DK0.085.142.541.857.912.5418.130.030.68
8DE0.083.411.311.375.991.3112.010.020.45
9EE0.082.260.51.14.140.57.380.020.28
10IE0.083.291.031.46.291.0311.640.020.44
11EL0.082.830.851.255.170.859.70.020.37
12ES0.083.191.221.325.281.2210.910.020.41
13FR0.083.521.351.386.491.3512.710.020.48
14IT0.083.591.261.565.821.2611.940.030.45
15CY0.082.820.851.255.090.859.60.020.36
16LV0.082.110.431.053.870.436.840.020.26
17LT0.081.990.391.023.490.396.250.020.24
18LU0.083.381.211.316.971.2112.780.020.48
19HU0.082.120.421.123.330.426.280.020.24
20MT0.082.440.621.164.320.627.990.020.3
21NL0.083.831.571.516.371.5713.330.030.5
22AT0.083.331.181.356.371.1812.060.020.45
23PL0.082.270.681.083.350.686.980.020.27
24PT0.082.30.371.164.670.377.710.020.29
25RO0.081.880.40.992.80.45.490.020.21
26SI0.082.470.581.184.650.588.290.020.32
27SK0.082.240.481.123.930.487.130.020.27
28FI0.083.591.21.487.01.212.980.020.49
29SE0.083.841.261.577.711.2614.070.030.53
30UK0.083.651.211.566.561.2112.640.030.48
31HR0.082.120.461.053.790.466.840.020.26
32AL0.081.670.190.962.550.194.610.020.18
33BA0.081.660.230.912.810.234.920.020.19
34MK0.081.50.220.842.320.224.270.010.17
35ME0.081.710.240.942.830.245.020.020.2
36RS0.081.690.220.962.640.224.770.020.19
37XK0.081.620.210.892.810.214.850.010.19
38UA0.081.250.130.652.80.134.320.010.16
39TR0.082.350.521.243.440.526.820.020.26
40MD0.081.330.090.742.80.094.310.010.17
41CH0.083.791.181.478.91.1815.060.020.56