floating offshore wind - minimal representation

This commit is contained in:
Fabian Neumann 2021-10-29 22:01:00 +02:00
parent 8bf7f499cf
commit 1bade2215a
4 changed files with 26 additions and 1 deletions

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@ -181,7 +181,7 @@ rule build_renewable_profiles:
corine="data/bundle/corine/g250_clc06_V18_5.tif",
natura="resources/natura.tiff",
gebco=lambda w: ("data/bundle/GEBCO_2014_2D.nc"
if "max_depth" in config["renewable"][w.technology].keys()
if any(key in ["max_depth", "min_depth"] for key in config["renewable"][w.technology].keys())
else []),
country_shapes='resources/country_shapes.geojson',
offshore_shapes='resources/offshore_shapes.geojson',

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@ -139,6 +139,23 @@ renewable:
min_shore_distance: 30000
potential: simple # or conservative
clip_p_max_pu: 1.e-2
offwind-float:
cutout: europe-2013-era5
resource:
method: wind
turbine: NREL_ReferenceTurbine_5MW_offshore
# ScholzPhd Tab 4.3.1: 10MW/km^2
capacity_per_sqkm: 2
correction_factor: 0.8855
# proxy for wake losses
# from 10.1016/j.energy.2018.08.153
# until done more rigorously in #153
corine: [44, 255]
natura: true
min_depth: 50
max_depth: 500
potential: simple # or conservative
clip_p_max_pu: 1.e-2
solar:
cutout: europe-2013-sarah
resource:

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@ -24,6 +24,9 @@ offwind-ac-connection-underground,2030,investment,1342,EUR/MW/km,DEA https://ens
offwind-dc-station,2030,investment,400,EUR/kWel,Haertel 2017; assuming one onshore and one offshore node + 13% learning reduction
offwind-dc-connection-submarine,2030,investment,2000,EUR/MW/km,DTU report based on Fig 34 of https://ec.europa.eu/energy/sites/ener/files/documents/2014_nsog_report.pdf
offwind-dc-connection-underground,2030,investment,1000,EUR/MW/km,Haertel 2017; average + 13% learning reduction
offwind-float-station,2030,investment,400,EUR/kWel,Haertel 2017; assuming one onshore and one offshore node + 13% learning reduction
offwind-float-connection-submarine,2030,investment,2000,EUR/MW/km,DTU report based on Fig 34 of https://ec.europa.eu/energy/sites/ener/files/documents/2014_nsog_report.pdf
offwind-float-connection-underground,2030,investment,1000,EUR/MW/km,Haertel 2017; average + 13% learning reduction
solar,2030,investment,600,EUR/kWel,DIW DataDoc http://hdl.handle.net/10419/80348
biomass,2030,investment,2209,EUR/kWel,DIW DataDoc http://hdl.handle.net/10419/80348
geothermal,2030,investment,3392,EUR/kWel,DIW DataDoc http://hdl.handle.net/10419/80348

1 technology year parameter value unit source
24 offwind-dc-station 2030 investment 400 EUR/kWel Haertel 2017; assuming one onshore and one offshore node + 13% learning reduction
25 offwind-dc-connection-submarine 2030 investment 2000 EUR/MW/km DTU report based on Fig 34 of https://ec.europa.eu/energy/sites/ener/files/documents/2014_nsog_report.pdf
26 offwind-dc-connection-underground 2030 investment 1000 EUR/MW/km Haertel 2017; average + 13% learning reduction
27 offwind-float-station 2030 investment 400 EUR/kWel Haertel 2017; assuming one onshore and one offshore node + 13% learning reduction
28 offwind-float-connection-submarine 2030 investment 2000 EUR/MW/km DTU report based on Fig 34 of https://ec.europa.eu/energy/sites/ener/files/documents/2014_nsog_report.pdf
29 offwind-float-connection-underground 2030 investment 1000 EUR/MW/km Haertel 2017; average + 13% learning reduction
30 solar 2030 investment 600 EUR/kWel DIW DataDoc http://hdl.handle.net/10419/80348
31 biomass 2030 investment 2209 EUR/kWel DIW DataDoc http://hdl.handle.net/10419/80348
32 geothermal 2030 investment 3392 EUR/kWel DIW DataDoc http://hdl.handle.net/10419/80348

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@ -31,6 +31,7 @@ Relevant settings
distance:
natura:
max_depth:
min_depth:
max_shore_distance:
min_shore_distance:
capacity_per_sqkm:
@ -242,6 +243,10 @@ if __name__ == '__main__':
func = functools.partial(np.greater,-config['max_depth'])
excluder.add_raster(paths.gebco, codes=func, crs=4236, nodata=-1000)
if "min_depth" in config:
func = functools.partial(np.greater,-config['min_depth'])
excluder.add_raster(paths.gebco, codes=func, crs=4236, nodata=-1000, invert=True)
if 'min_shore_distance' in config:
buffer = config['min_shore_distance']
excluder.add_geometry(paths.country_shapes, buffer=buffer)