Use powerplantmatching IRENASTAT for add_existing_baseyear
This commit is contained in:
Koen van Greevenbroek
parent
5ecd56d53c
commit
859212b21f
@ -72,7 +72,6 @@ enable:
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retrieve_sector_databundle: true
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retrieve_cost_data: true
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build_cutout: false
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retrieve_irena: false
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retrieve_cutout: true
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build_natura_raster: false
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retrieve_natura_raster: true
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@ -1,34 +0,0 @@
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Country/area,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019,2020,2021,2022
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Albania,,,,,,,,,,,,,,,,,,,,,,,
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Austria,,,,,,,,,,,,,,,,,,,,,,,
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Belgium,,,,,,,,,,31.5,196.5,196.5,381.0,707.7,707.7,712.0,712.2,877.2,1185.9,1555.5,2261.8,2261.8,2261.8
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Bosnia Herzg,,,,,,,,,,,,,,,,,,,,,,,
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Bulgaria,,,,,,,,,,,,,,,,,,,,,,,
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Croatia,,,,,,,,,,,,,,,,,,,,,,,
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Czechia,,,,,,,,,,,,,,,,,,,,,,,
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Denmark,49.95,49.95,213.95,423.35,423.35,423.35,423.35,423.35,423.35,660.85,867.85,871.45,921.85,1271.05,1271.05,1271.05,1271.05,1263.8,1700.8,1700.8,1700.8,2305.6,2305.6
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Estonia,,,,,,,,,,,,,,,,,,,,,,,
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Finland,,,,,,,,,24.0,24.0,26.3,26.3,26.3,26.3,26.3,32.0,32.0,72.7,72.7,73.0,73.0,73.0,73.0
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France,,,,,,,,,,,,,,,,,,2.0,2.0,2.0,2.0,2.0,482.0
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Germany,,,,,,,,,,35.0,80.0,188.0,268.0,508.0,994.0,3283.0,4132.0,5406.0,6393.0,7555.0,7787.0,7787.0,8129.0
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Greece,,,,,,,,,,,,,,,,,,,,,,,
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Hungary,,,,,,,,,,,,,,,,,,,,,,,
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Ireland,,,,,25.2,25.2,25.2,25.2,25.2,25.2,25.2,25.2,25.2,25.2,25.2,25.2,25.2,25.2,25.2,25.2,25.2,25.2,25.2
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Italy,,,,,,,,,,,,,,,,,,,,,,,30.0
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Latvia,,,,,,,,,,,,,,,,,,,,,,,
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Lithuania,,,,,,,,,,,,,,,,,,,,,,,
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Luxembourg,,,,,,,,,,,,,,,,,,,,,,,
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Montenegro,,,,,,,,,,,,,,,,,,,,,,,
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Netherlands,,,,,,,108.0,108.0,228.0,228.0,228.0,228.0,228.0,228.0,228.0,357.0,957.0,957.0,957.0,957.0,2459.5,2459.5,2571.0
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North Macedonia,,,,,,,,,,,,,,,,,,,,,,,
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Norway,,,,,,,,,,2.3,2.3,2.3,2.3,2.3,2.3,2.3,2.3,2.3,2.3,2.3,2.3,6.3,66.3
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Poland,,,,,,,,,,,,,,,,,,,,,,,
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Portugal,,,,,,,,,,,,1.86,2.0,2.0,2.0,2.0,,,,,25.0,25.0,25.0
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Romania,,,,,,,,,,,,,,,,,,,,,,,
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Serbia,,,,,,,,,,,,,,,,,,,,,,,
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Slovakia,,,,,,,,,,,,,,,,,,,,,,,
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Slovenia,,,,,,,,,,,,,,,,,,,,,,,
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Spain,,,,,,,,,,,,,,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0,5.0
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Sweden,13.0,22.0,22.0,22.0,22.0,22.0,22.0,131.0,133.0,163.0,163.0,163.0,163.0,212.0,213.0,213.0,203.0,203.0,203.0,203.0,203.0,193.0,193.0
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Switzerland,,,,,,,,,,,,,,,,,,,,,,,
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UK,4.0,4.0,4.0,64.0,124.0,214.0,304.0,394.0,596.2,951.0,1341.0,1838.0,2995.0,3696.0,4501.0,5093.0,5293.0,6988.0,8181.0,9888.0,10383.0,11255.0,13928.0
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@ -1,34 +0,0 @@
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Country/area,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019,2020,2021,2022
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Albania,,,,,,,,,,,,,,,,,,,,,,,
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Austria,50.0,67.0,109.0,322.0,581.0,825.22,968.27,991.16,991.97,1000.99,1015.83,1105.97,1337.15,1674.54,2110.28,2488.73,2730.0,2886.7,3132.71,3224.12,3225.98,3407.81,3735.81
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Belgium,14.0,26.0,31.0,67.0,96.0,167.0,212.0,276.0,324.0,576.5,715.5,872.5,985.9,1061.3,1225.0,1469.3,1621.6,1902.2,2119.0,2308.0,2410.9,2686.6,2989.6
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Bosnia Herzg,,,,,,,,,,,,0.3,0.3,0.3,0.3,0.3,0.3,0.3,51.0,87.0,87.0,135.0,135.0
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Bulgaria,,,,,1.0,8.0,27.0,30.0,114.0,333.0,488.0,541.0,677.0,683.0,699.0,699.0,699.0,698.39,698.92,703.12,702.8,704.38,704.38
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Croatia,,,,,6.0,6.0,17.0,17.0,17.0,70.0,79.0,130.0,180.0,254.0,339.0,418.0,483.0,576.1,586.3,646.3,801.3,986.9,1042.9
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Czechia,2.0,,6.4,10.6,16.5,22.0,43.5,113.8,150.0,193.0,213.0,213.0,258.0,262.0,278.0,281.0,282.0,308.21,316.2,339.41,339.42,339.41,339.41
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Denmark,2340.07,2447.2,2680.58,2696.57,2700.36,2704.49,2712.35,2700.86,2739.52,2821.24,2933.98,3080.53,3240.09,3547.87,3615.35,3805.92,3974.09,4225.15,4421.86,4409.74,4566.23,4715.24,4782.24
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Estonia,,,1.0,3.0,7.0,31.0,31.0,50.0,77.0,104.0,108.0,180.0,266.0,248.0,275.0,300.0,310.0,311.8,310.0,316.0,317.0,315.0,315.0
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Finland,38.0,39.0,43.0,52.0,82.0,82.0,86.0,110.0,119.0,123.0,170.7,172.7,230.7,420.7,600.7,973.0,1533.0,1971.3,1968.3,2211.0,2513.0,3184.0,5541.0
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France,38.0,66.0,138.0,218.0,358.0,690.0,1412.0,2223.0,3403.0,4582.0,5912.0,6758.02,7607.5,8155.96,9201.42,10298.18,11566.56,13497.35,14898.14,16424.85,17512.0,18737.98,20637.98
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Germany,6095.0,8754.0,12001.0,14381.0,16419.0,18248.0,20474.0,22116.0,22794.0,25697.0,26823.0,28524.0,30711.0,32969.0,37620.0,41297.0,45303.0,50174.0,52328.0,53187.0,54414.0,56046.0,58165.0
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Greece,226.0,270.0,287.0,371.0,470.0,491.0,749.0,846.0,1022.0,1171.0,1298.0,1640.0,1753.0,1809.0,1978.0,2091.0,2370.0,2624.0,2877.5,3589.0,4119.25,4649.13,4879.13
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Hungary,,1.0,1.0,3.0,3.0,17.0,33.0,61.0,134.0,203.0,293.0,331.0,325.0,329.0,329.0,329.0,329.0,329.0,329.0,323.0,323.0,324.0,324.0
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Ireland,116.5,122.9,134.8,210.3,311.2,468.1,651.3,715.3,917.1,1226.1,1365.2,1559.4,1679.15,1898.1,2258.05,2425.95,2776.45,3293.95,3648.65,4101.25,4281.5,4313.84,4593.84
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Italy,363.0,664.0,780.0,874.0,1127.0,1635.0,1902.0,2702.0,3525.0,4879.0,5794.0,6918.0,8102.0,8542.0,8683.0,9137.0,9384.0,9736.58,10230.25,10679.46,10870.62,11253.73,11749.73
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Latvia,2.0,2.0,22.0,26.0,26.0,26.0,26.0,26.0,28.0,29.0,30.0,36.0,59.0,65.89,68.92,68.17,69.91,77.11,78.17,78.07,78.07,77.13,136.13
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Lithuania,,,,,1.0,1.0,31.0,47.0,54.0,98.0,133.0,202.0,275.0,279.0,288.0,436.0,509.0,518.0,533.0,534.0,540.0,671.0,814.0
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Luxembourg,14.0,13.9,13.9,20.5,34.9,34.9,34.9,34.9,42.92,42.93,43.73,44.53,58.33,58.33,58.34,63.79,119.69,119.69,122.89,135.79,152.74,136.44,165.44
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Montenegro,,,,,,,,,,,,,,,,,,72.0,72.0,118.0,118.0,118.0,118.0
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Netherlands,447.0,486.0,672.0,905.0,1075.0,1224.0,1453.0,1641.0,1921.0,1994.0,2009.0,2088.0,2205.0,2485.0,2637.0,3033.84,3300.12,3245.0,3436.11,3527.16,4188.38,5309.87,6176.0
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North Macedonia,,,,,,,,,,,,,,,37.0,37.0,37.0,37.0,37.0,37.0,37.0,37.0,37.0
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Norway,13.0,13.0,97.0,97.0,152.0,265.0,284.0,348.0,395.0,420.7,422.7,509.7,702.7,815.7,856.7,864.7,880.7,1204.7,1707.7,2911.7,4027.7,5042.7,5067.7
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Poland,4.0,19.0,32.0,35.0,40.0,121.0,172.0,306.0,526.0,709.0,1108.0,1800.0,2564.0,3429.0,3836.0,4886.0,5747.0,5759.36,5766.08,5837.76,6298.25,6967.34,7987.34
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Portugal,83.0,125.0,190.0,268.0,553.0,1064.0,1681.0,2201.0,2857.0,3326.0,3796.0,4254.35,4409.55,4607.95,4854.56,4934.84,5124.1,5124.1,5172.36,5222.75,5097.26,5402.33,5430.33
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Romania,,,,,,1.0,1.0,3.0,5.0,15.0,389.0,988.0,1822.0,2773.0,3244.0,3130.0,3025.0,3029.8,3032.26,3037.52,3012.53,3014.96,3014.96
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Serbia,,,,,,,,,,,,,0.5,0.5,0.5,10.4,17.0,25.0,227.0,398.0,398.0,398.0,398.0
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Slovakia,,,,3.0,3.0,5.0,5.0,5.0,5.0,3.0,3.0,3.0,3.0,5.0,3.0,3.0,3.0,4.0,3.0,4.0,4.0,4.0,4.0
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Slovenia,,,,,,,,,,,,,2.0,2.0,3.0,3.0,3.0,3.3,3.3,3.3,3.3,3.33,3.33
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Spain,2206.0,3397.0,4891.0,5945.0,8317.0,9918.0,11722.0,14820.0,16555.0,19176.0,20693.0,21529.0,22789.0,22953.0,22920.0,22938.0,22985.0,23119.48,23400.06,25585.08,26814.19,27902.65,29302.84
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Sweden,196.0,273.0,335.0,395.0,453.0,500.0,563.0,692.0,956.0,1312.0,1854.0,2601.0,3443.0,3982.0,4875.0,5606.0,6232.0,6408.0,7097.0,8478.0,9773.0,11923.0,14364.0
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Switzerland,3.0,5.0,5.0,5.0,9.0,12.0,12.0,12.0,14.0,18.0,42.0,46.0,49.0,60.0,60.0,60.0,75.0,75.0,75.0,75.0,87.0,87.0,87.0
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UK,431.0,490.0,531.0,678.0,809.0,1351.0,1651.0,2083.0,2849.8,3468.0,4080.0,4758.0,6035.0,7586.0,8573.0,9212.0,10833.0,12597.0,13425.0,13999.0,14075.0,14492.0,14832.0
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@ -1,34 +0,0 @@
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Country/area,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019,2020,2021,2022
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Albania,,0.1,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.3,0.4,0.56,0.68,0.76,0.87,1.05,1.0,1.0,1.0,14.0,21.0,23.0,28.6
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Austria,5.0,7.0,9.0,23.0,27.0,18.49,19.61,21.42,27.0,45.56,85.27,169.88,333.09,620.78,779.76,931.56,1089.53,1262.01,1447.94,1694.4,2034.74,2773.91,3538.91
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Belgium,,,1.0,1.0,1.0,2.0,2.0,20.0,62.0,386.0,1006.6,1978.6,2646.6,2901.6,3015.0,3131.6,3328.8,3620.6,4000.0,4636.6,5572.8,6012.4,6898.4
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Bosnia Herzg,,,,0.1,0.2,0.3,0.3,0.3,0.3,0.3,0.3,0.3,0.35,1.34,7.17,8.17,14.12,16.0,18.15,22.35,34.89,56.51,107.47
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Bulgaria,,,,,,,,0.03,0.1,2.0,25.0,154.0,921.99,1038.54,1028.92,1027.89,1029.89,1030.7,1033.06,1044.39,1100.21,1274.71,1948.36
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Croatia,,,,,,,,,,0.3,0.3,0.3,4.0,19.0,33.0,47.8,55.8,60.0,67.7,84.8,108.5,138.3,182.3
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Czechia,0.1,0.1,0.2,0.3,0.4,0.59,0.84,3.96,39.5,464.6,1727.0,1913.0,2022.0,2063.5,2067.4,2074.9,2067.9,2075.44,2081.05,2110.67,2171.96,2246.09,2627.09
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Denmark,1.0,1.0,2.0,2.0,2.0,3.0,3.0,3.0,3.0,5.0,7.0,17.0,402.0,571.0,607.0,782.11,850.95,906.35,998.0,1080.0,1304.29,1704.04,3122.04
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Estonia,,,,,,,,,,0.1,0.1,0.2,0.38,1.5,3.34,6.5,10.0,15.0,31.9,120.6,207.67,394.77,534.77
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Finland,2.0,3.0,3.0,3.0,4.0,4.0,5.0,5.0,6.0,6.0,7.0,7.0,8.0,9.0,11.0,17.0,39.0,82.0,140.0,222.0,318.0,425.0,590.6
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France,7.0,7.0,8.0,9.0,11.0,13.0,15.0,26.0,80.0,277.0,1044.0,3003.57,4358.75,5277.29,6034.42,7137.52,7702.08,8610.44,9638.88,10738.39,11812.2,14436.97,17036.97
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Germany,114.0,195.0,260.0,435.0,1105.0,2056.0,2899.0,4170.0,6120.0,10564.0,18004.0,25914.0,34075.0,36708.0,37898.0,39222.0,40677.0,42291.0,45156.0,48912.0,53669.0,59371.0,66662.0
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Greece,,1.0,1.0,1.0,1.0,1.0,5.0,9.0,12.0,46.0,202.0,612.0,1536.0,2579.0,2596.0,2604.0,2604.0,2605.53,2651.57,2833.79,3287.72,4277.42,5557.42
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Hungary,,,,,,,,0.4,1.0,1.0,2.0,4.0,12.0,35.0,89.0,172.0,235.0,344.0,728.0,1400.0,2131.0,2968.0,2988.0
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Ireland,,,,,,,,,,,,,,,,,,,,,,,
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Italy,19.0,20.0,22.0,26.0,31.0,34.0,45.0,110.0,483.0,1264.0,3592.0,13131.0,16785.0,18185.0,18594.0,18901.0,19283.0,19682.29,20107.59,20865.28,21650.04,22594.26,25076.56
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Latvia,,,,,,,,,,,,,,,,,0.69,0.69,1.96,3.3,5.1,7.16,56.16
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Lithuania,,,,,,,,,0.1,0.1,0.1,0.3,7.0,68.0,69.0,69.0,70.0,70.08,72.0,73.0,80.0,84.0,397.0
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Luxembourg,,0.16,1.59,14.17,23.56,23.58,23.7,23.93,24.56,26.36,29.45,40.67,74.65,95.02,109.93,116.27,121.9,128.1,130.62,159.74,186.64,277.16,319.16
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Montenegro,,,,,,,,,,,,,,,,,,,,,2.57,2.57,22.2
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Netherlands,13.0,21.0,26.0,46.0,50.0,51.0,53.0,54.0,59.0,69.0,90.0,149.0,287.0,650.0,1007.0,1526.26,2135.02,2910.89,4608.0,7226.0,11108.43,14910.69,18848.69
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North Macedonia,,,,,,,,,,,,2.0,4.0,7.0,15.0,17.0,16.7,16.7,16.7,16.71,84.93,84.93,84.93
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Norway,6.0,6.0,6.0,7.0,7.0,7.0,8.0,8.0,8.3,8.7,9.1,9.5,10.0,11.0,13.0,15.0,26.7,44.9,53.11,102.53,141.53,186.53,302.53
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Poland,,,,,,,,,,,,1.11,1.3,2.39,27.15,107.78,187.25,287.09,561.98,1539.26,3954.96,7415.52,11166.52
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Portugal,1.0,1.0,1.0,2.0,2.0,2.0,3.0,24.0,59.0,115.0,134.0,169.6,235.6,293.6,412.6,441.75,493.05,539.42,617.85,832.74,1010.07,1474.78,2364.78
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Romania,,,,,,,,,0.1,0.1,0.1,1.0,41.0,761.0,1293.0,1326.0,1372.0,1374.13,1385.82,1397.71,1382.54,1393.92,1413.92
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Serbia,,,,,,0.1,0.2,0.4,0.9,1.2,1.3,1.5,3.1,4.7,6.0,9.0,11.0,10.0,11.0,11.0,11.5,11.94,11.94
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Slovakia,,,,,,,,,,,19.0,496.0,513.0,533.0,533.0,533.0,533.0,528.0,472.0,590.0,535.0,537.0,537.0
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Slovenia,1.0,1.0,,,,0.05,0.19,0.59,1.0,4.0,12.0,57.0,142.0,187.0,223.0,238.0,233.0,246.8,246.8,277.88,369.78,461.16,632.16
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Spain,1.0,3.0,6.0,10.0,19.0,37.0,113.0,476.0,3365.0,3403.0,3851.0,4260.0,4545.0,4665.0,4672.0,4677.0,4687.0,4696.0,4730.7,8772.02,10100.42,13678.4,18176.73
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Sweden,3.0,3.0,3.0,4.0,4.0,4.0,5.0,6.0,8.0,9.0,11.0,12.0,24.0,43.0,60.0,104.0,153.0,231.0,411.0,698.0,1090.0,1587.0,2587.0
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Switzerland,16.0,18.0,20.0,22.0,24.0,28.0,30.0,37.0,49.0,79.0,125.0,223.0,437.0,756.0,1061.0,1394.0,1664.0,1906.0,2173.0,2498.0,2973.0,3655.0,4339.92
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UK,2.0,3.0,4.0,6.0,8.0,11.0,14.0,18.0,23.0,27.0,95.0,1000.0,1753.0,2937.0,5528.0,9601.0,11914.0,12760.0,13059.0,13345.0,13579.0,13965.0,14660.0
|
||||
|
@ -5,7 +5,6 @@ retrieve_databundle,bool,"{true, false}","Switch to retrieve databundle from zen
|
||||
retrieve_sector_databundle,bool,"{true, false}","Switch to retrieve sector databundle from zenodo via the rule :mod:`retrieve_sector_databundle` or whether to keep a custom databundle located in the corresponding folder."
|
||||
retrieve_cost_data,bool,"{true, false}","Switch to retrieve technology cost data from `technology-data repository <https://github.com/PyPSA/technology-data>`_."
|
||||
build_cutout,bool,"{true, false}","Switch to enable the building of cutouts via the rule :mod:`build_cutout`."
|
||||
retrieve_irena,bool,"{true, false}",Switch to enable the retrieval of ``existing_capacities`` from IRENASTAT with :mod:`retrieve_irena`.
|
||||
retrieve_cutout,bool,"{true, false}","Switch to enable the retrieval of cutouts from zenodo with :mod:`retrieve_cutout`."
|
||||
build_natura_raster,bool,"{true, false}","Switch to enable the creation of the raster ``natura.tiff`` via the rule :mod:`build_natura_raster`."
|
||||
retrieve_natura_raster,bool,"{true, false}","Switch to enable the retrieval of ``natura.tiff`` from zenodo with :mod:`retrieve_natura_raster`."
|
||||
|
||||
|
@ -118,11 +118,6 @@ This rule downloads techno-economic assumptions from the `technology-data reposi
|
||||
|
||||
- ``resources/costs.csv``
|
||||
|
||||
Rule ``retrieve_irena``
|
||||
================================
|
||||
|
||||
.. automodule:: retrieve_irena
|
||||
|
||||
Rule ``retrieve_ship_raster``
|
||||
================================
|
||||
|
||||
|
||||
@ -42,24 +42,6 @@ if config["enable"]["retrieve"] and config["enable"].get("retrieve_databundle",
|
||||
"../scripts/retrieve_databundle.py"
|
||||
|
||||
|
||||
if config["enable"].get("retrieve_irena"):
|
||||
|
||||
rule retrieve_irena:
|
||||
output:
|
||||
offwind="data/existing_infrastructure/offwind_capacity_IRENA.csv",
|
||||
onwind="data/existing_infrastructure/onwind_capacity_IRENA.csv",
|
||||
solar="data/existing_infrastructure/solar_capacity_IRENA.csv",
|
||||
log:
|
||||
"logs/retrieve_irena.log",
|
||||
resources:
|
||||
mem_mb=1000,
|
||||
retries: 2
|
||||
conda:
|
||||
"../envs/retrieve.yaml"
|
||||
script:
|
||||
"../scripts/retrieve_irena.py"
|
||||
|
||||
|
||||
if config["enable"]["retrieve"] and config["enable"].get("retrieve_cutout", True):
|
||||
|
||||
rule retrieve_cutout:
|
||||
|
||||
@ -26,9 +26,6 @@ rule add_existing_baseyear:
|
||||
existing_heating_distribution=resources(
|
||||
"existing_heating_distribution_elec_s{simpl}_{clusters}_{planning_horizons}.csv"
|
||||
),
|
||||
existing_solar="data/existing_infrastructure/solar_capacity_IRENA.csv",
|
||||
existing_onwind="data/existing_infrastructure/onwind_capacity_IRENA.csv",
|
||||
existing_offwind="data/existing_infrastructure/offwind_capacity_IRENA.csv",
|
||||
output:
|
||||
RESULTS
|
||||
+ "prenetworks-brownfield/elec_s{simpl}_{clusters}_l{ll}_{opts}_{sector_opts}_{planning_horizons}.nc",
|
||||
|
||||
@ -25,9 +25,6 @@ rule add_existing_baseyear:
|
||||
"existing_heating_distribution_elec_s{simpl}_{clusters}_{planning_horizons}.csv"
|
||||
),
|
||||
existing_heating="data/existing_infrastructure/existing_heating_raw.csv",
|
||||
existing_solar="data/existing_infrastructure/solar_capacity_IRENA.csv",
|
||||
existing_onwind="data/existing_infrastructure/onwind_capacity_IRENA.csv",
|
||||
existing_offwind="data/existing_infrastructure/offwind_capacity_IRENA.csv",
|
||||
output:
|
||||
RESULTS
|
||||
+ "prenetworks-brownfield/elec_s{simpl}_{clusters}_l{ll}_{opts}_{sector_opts}_{planning_horizons}.nc",
|
||||
|
||||
@ -13,6 +13,7 @@ from types import SimpleNamespace
|
||||
import country_converter as coco
|
||||
import numpy as np
|
||||
import pandas as pd
|
||||
import powerplantmatching as pm
|
||||
import pypsa
|
||||
import xarray as xr
|
||||
from _helpers import (
|
||||
@ -60,14 +61,22 @@ def add_existing_renewables(df_agg, costs):
|
||||
Append existing renewables to the df_agg pd.DataFrame with the conventional
|
||||
power plants.
|
||||
"""
|
||||
carriers = {"solar": "solar", "onwind": "onwind", "offwind": "offwind-ac"}
|
||||
tech_map = {"solar": "PV", "onwind": "Onshore", "offwind": "Offshore"}
|
||||
|
||||
for tech in ["solar", "onwind", "offwind"]:
|
||||
carrier = carriers[tech]
|
||||
countries = snakemake.config["countries"]
|
||||
irena = pm.data.IRENASTAT().powerplant.convert_country_to_alpha2()
|
||||
irena = irena.query("Country in @countries")
|
||||
irena = irena.groupby(["Technology", "Country", "Year"]).Capacity.sum()
|
||||
|
||||
df = pd.read_csv(snakemake.input[f"existing_{tech}"], index_col=0).fillna(0.0)
|
||||
irena = irena.unstack().reset_index()
|
||||
|
||||
for carrier, tech in tech_map.items():
|
||||
df = (
|
||||
irena[irena.Technology.str.contains(tech)]
|
||||
.drop(columns=["Technology"])
|
||||
.set_index("Country")
|
||||
)
|
||||
df.columns = df.columns.astype(int)
|
||||
df.index = cc.convert(df.index, to="iso2")
|
||||
|
||||
# calculate yearly differences
|
||||
df.insert(loc=0, value=0.0, column="1999")
|
||||
@ -97,14 +106,16 @@ def add_existing_renewables(df_agg, costs):
|
||||
|
||||
for year in nodal_df.columns:
|
||||
for node in nodal_df.index:
|
||||
name = f"{node}-{tech}-{year}"
|
||||
name = f"{node}-{carrier}-{year}"
|
||||
capacity = nodal_df.loc[node, year]
|
||||
if capacity > 0.0:
|
||||
df_agg.at[name, "Fueltype"] = tech
|
||||
df_agg.at[name, "Fueltype"] = carrier
|
||||
df_agg.at[name, "Capacity"] = capacity
|
||||
df_agg.at[name, "DateIn"] = year
|
||||
df_agg.at[name, "lifetime"] = costs.at[tech, "lifetime"]
|
||||
df_agg.at[name, "DateOut"] = year + costs.at[tech, "lifetime"] - 1
|
||||
df_agg.at[name, "lifetime"] = costs.at[carrier, "lifetime"]
|
||||
df_agg.at[name, "DateOut"] = (
|
||||
year + costs.at[carrier, "lifetime"] - 1
|
||||
)
|
||||
df_agg.at[name, "cluster_bus"] = node
|
||||
|
||||
|
||||
|
||||
@ -1,108 +0,0 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
# Copyright 2023 Thomas Gilon (Climact)
|
||||
# SPDX-FileCopyrightText: : 2017-2024 The PyPSA-Eur Authors
|
||||
#
|
||||
# SPDX-License-Identifier: MIT
|
||||
"""
|
||||
This rule downloads the existing capacities from `IRENASTAT <https://www.irena.org/Data/Downloads/IRENASTAT>`_ and extracts it in the ``data/existing_capacities`` sub-directory.
|
||||
|
||||
**Relevant Settings**
|
||||
|
||||
.. code:: yaml
|
||||
|
||||
enable:
|
||||
retrieve_irena:
|
||||
|
||||
.. seealso::
|
||||
Documentation of the configuration file ``config.yaml`` at
|
||||
:ref:`enable_cf`
|
||||
|
||||
**Outputs**
|
||||
|
||||
- ``data/existing_capacities``: existing capacities for offwind, onwind and solar
|
||||
|
||||
"""
|
||||
|
||||
import logging
|
||||
|
||||
import pandas as pd
|
||||
from _helpers import configure_logging, set_scenario_config
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
REGIONS = [
|
||||
"Albania",
|
||||
"Austria",
|
||||
"Belgium",
|
||||
"Bosnia and Herzegovina",
|
||||
"Bulgaria",
|
||||
"Croatia",
|
||||
"Czechia",
|
||||
"Denmark",
|
||||
"Estonia",
|
||||
"Finland",
|
||||
"France",
|
||||
"Germany",
|
||||
"Greece",
|
||||
"Hungary",
|
||||
"Ireland",
|
||||
"Italy",
|
||||
"Latvia",
|
||||
"Lithuania",
|
||||
"Luxembourg",
|
||||
"Montenegro",
|
||||
# "Netherlands",
|
||||
"Netherlands (Kingdom of the)",
|
||||
"North Macedonia",
|
||||
"Norway",
|
||||
"Poland",
|
||||
"Portugal",
|
||||
"Romania",
|
||||
"Serbia",
|
||||
"Slovakia",
|
||||
"Slovenia",
|
||||
"Spain",
|
||||
"Sweden",
|
||||
"Switzerland",
|
||||
# "United Kingdom",
|
||||
"United Kingdom of Great Britain and Northern Ireland (the)",
|
||||
]
|
||||
|
||||
REGIONS_DICT = {
|
||||
"Bosnia and Herzegovina": "Bosnia Herzg",
|
||||
"Netherlands (Kingdom of the)": "Netherlands",
|
||||
"United Kingdom of Great Britain and Northern Ireland (the)": "UK",
|
||||
}
|
||||
|
||||
if __name__ == "__main__":
|
||||
if "snakemake" not in globals():
|
||||
from _helpers import mock_snakemake
|
||||
|
||||
snakemake = mock_snakemake("retrieve_irena")
|
||||
configure_logging(snakemake)
|
||||
set_scenario_config(snakemake)
|
||||
|
||||
irena_raw = pd.read_csv(
|
||||
"https://pxweb.irena.org:443/sq/99e64b12-fe03-4a7b-92ea-a22cc3713b92",
|
||||
skiprows=2,
|
||||
index_col=[0, 1, 3],
|
||||
encoding="latin-1",
|
||||
)
|
||||
|
||||
var = "Installed electricity capacity (MW)"
|
||||
irena = irena_raw[var].unstack(level=2).reset_index(level=1).replace(0, "")
|
||||
|
||||
irena = irena[irena.index.isin(REGIONS)]
|
||||
irena.rename(index=REGIONS_DICT, inplace=True)
|
||||
|
||||
df_offwind = irena[irena.Technology.str.contains("Offshore")].drop(
|
||||
columns=["Technology"]
|
||||
)
|
||||
df_onwind = irena[irena.Technology.str.contains("Onshore")].drop(
|
||||
columns=["Technology"]
|
||||
)
|
||||
df_pv = irena[irena.Technology.str.contains("Solar")].drop(columns=["Technology"])
|
||||
|
||||
df_offwind.to_csv(snakemake.output["offwind"])
|
||||
df_onwind.to_csv(snakemake.output["onwind"])
|
||||
df_pv.to_csv(snakemake.output["solar"])
|
||||
Loading…
Reference in New Issue
Block a user