# Title #

Site characteristics of current wind power deployment in Austria and Denmark



# Keywords #

Renewable Energy, Wind Energy, Spatial Analysis, Land Use



# Authors #

Felix Nitsch 		felix.nitsch@dlr.de
Johannes Schmidt 	johannes.schmidt@boku.ac.at

http://dx.doi.org/10.17632/phm6cbdyyd.1



# Description #

This data set features detailed information on wind power deployment in Austria and Denmark 
aggregated at 1 km spatial resolution. First, we aggregated wind power plant location data on turbine 
level to pixels of 1 km size. Second, we added several characteristics which describe the pixel and the
site specifications. We included data on average annual wind speeds, land use, height above sea 
level, population density, human impact on land following the Human Footprint Index and nature
conservation areas. 

For a detailed description of the input data sets please refer to Nitsch, F., Turkovska, O., Schmidt, J. 
(2019). Observation-based estimates of wind power potential: a case study for the Czech Republic. 
Submitted to Energy, Sustainability and Society. 


This data can be used to assess wind power potentials derived from observation-based data. A first 
case study using this data set was conducted for the Czech Republic in Nitsch et al. (2019). 



# Files #

ESSO_1km_aut.csv	Data set featuring aggregated Austrian wind power deployment and its land use characteristics
ESSO_1km_dk.csv		Data set featuring aggregated Danish wind power deployment and its land use characteristics
ESSO_1km_mix.csv	Data set featuring aggregated wind power deployment from Austria and Denmark and its land use characteristics
ESSO_1km_cz.csv		Data set featuring land use characteristics in the Czech Republic



# Parameters #

id			Id of the pixel
lon			Longitude of the pixel center (EPSG 4326)
lat			Latitude of the pixel center (EPSG 4326)
sum_capacity		Aggregated installed capacity of wind power plants in a pixel [MW]
ws100_mean		Mean annual average wind speeds at 100 m height above ground in a pixel [m/s]
ws100_median		Median annual average wind speeds at 100 m height above ground in a pixel [m/s]
ws100_std		Standard deviation of annual average wind speeds at 100 m height above ground in a pixel [m/s]
ws200_mean		Mean annual average wind speeds at 200 m height above ground in a pixel [m/s]
ws200_median		Median annual average wind speeds at 200 m height above ground in a pixel [m/s]
ws200_std		Standard deviation of annual average wind speeds at 200 m height above ground in a pixel [m/s]
LU_0			Share of land use “not classified”
LU_1			Share of land use “Urban”
LU_2			Share of land use “Industry/Commercial/Services”
LU_3			Share of land use “Agriculture”
LU_4			Share of land use “Forest/Transitional Woodland”
LU_5			Share of land use “New Energy Crops”
LU_6			Share of land use “Natural land”
LU_7			Share of land use “Infrastructure”
LU_8			Share of land use “Wetlands”
LU_9			Share of land use “Water bodies”
LU_10			Share of land use “Urban green leisure”
elevation_mean		Mean height above sea level in a pixel [m]
elevation_median	Median height above sea level in a pixel [m]
elevation_std		Standard deviation of height above sea level in a pixel [m]
pop_sum			Population density in a pixel [inhabitants/km2]
n2000			Binary Natura2000 indicator [0 -> no Natura2000 in a pixel, 1 -> partly or fully Natura200 in a pixel]
np			Binary national park indicator [0 -> no national park in a pixel, 1 -> partly or fully national park in a pixel]
n2000_raster		Share of Natura2000 area in a pixel
HFP2009_mean		Mean Human impact on land following the Human Footprint Index [0 -> no impact; 50 -> highest impact]
HFP2009_median		Median Human impact on land following the Human Footprint Index [0 -> no impact; 50 -> highest impact]
HFP2009_std		Standard deviation of Human impact on land following the Human Footprint Index [0 -> no impact; 50 -> highest impact]