Rösner, B.; Egli, S.; Thies, B.; Beyer, T.; Callies, D.; Pauscher, L. & Bendix, J. (2020): <b>Fog and Low Stratus Obstruction of Wind Lidar Observations in Germany—A Remote Sensing-Based Data Set for Wind Energy Planning</b>. <i>Energies</i> <b>13</b>(15), 3859.
Resource Description
Title:
Fog and Low Stratus Obstruction of Wind Lidar Observations in Germany—A Remote Sensing-Based Data Set for Wind Energy Planning
email:
bendix <at> staff.uni-marburg.de
Deutschhausstraße 12
Room No. 02 A 48
35032 Marburg
Faculty of Geography
Germany
Abstract:
Coherent wind doppler lidar (CWDL) is a cost-effective way to estimate wind power<br/>
potential at hub height without the need to build a meteorological tower. However, fog and low<br/>
stratus (FLS) can have a negative impact on the availability of lidar measurements. Information<br/>
about such reductions in wind data availability for a prospective lidar deployment site in advance is<br/>
beneficial in the planning process for a measurement strategy. In this paper, we show that availability<br/>
reductions by FLS can be estimated by comparing time series of lidar measurements, conducted<br/>
with WindCubes v1 and v2, with time series of cloud base altitude (CBA) derived from satellite<br/>
data. This enables us to compute average maps (2006–2017) of estimated availability, including<br/>
FLS-induced data losses for Germany which can be used for planning purposes. These maps show<br/>
that the lower mountain ranges and the Alpine regions in Germany often reach the critical data<br/>
availability threshold of 80% or below. Especially during the winter time special care must be taken<br/>
when using lidar in southern and central regions of Germany. If only shorter lidar campaigns are<br/>
planned (3–6 months) the representativeness of weather types should be considered as well, because<br/>
in individual years and under persistent weather types, lowland areas might also be temporally<br/>
affected by higher rates of data losses. This is shown by different examples, e.g., during radiation fog<br/>
under anticyclonic weather types.
Keywords:
| fog | wind energy | wind LiDAR |
Literature type specific fields:
ARTICLE
Journal:
Energies
Volume:
13
Issue:
15
Page Range:
3859
Metadata Provider:
Individual:
Jörg Bendix
Contact:
email:
bendix <at> staff.uni-marburg.de
Deutschhausstraße 12
Room No. 02 A 48
35032 Marburg
Faculty of Geography
Germany
