Comparison of Wind Lidar Data and Numerical Simulations of the Low-Level Jet at a Grassland Site

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

Abstract

For the increasing importance of the wind energy branch, exact wind climatologies at the operation altitudes are essential. As wind turbines of increasing hub height are erected, the rotors are located at an altitude interval influenced by the phenomenon of low-level jet (LLJ). The main objective of the study is to assess if and how numerical simulations can represent the development especially of nocturnal LLJs in comparison to measurements. In this article, the microscale numerical model HIRVAC2D is used for a range of parameters. The simulated results for properties of the LLJ are compared to lidar data at an altitude range of 40 m to 500 m at the study site Braunschweig in the North German Plain, a grassland location that may be representative for a large area. Similarities and differences of the occurrence, height and maximum wind speed of the nocturnal LLJ are discussed using two different criteria to define a LLJ. The analysis of the lidar data set for the grassland site revealed for the first time increasing height of the LLJ with increasing wind speed during the summer months June to August 2013. The comparison of measurements and simulation data shows that boundary (and inital) conditions have to be adapted in model simulations to provide realistic LLJ properties. It was found that land use and vegetation parameters are important for practical LLJ prognosis, both for wind climatologies and nowcasting.

Details

OriginalspracheEnglisch
Aufsatznummer6264
Seitenumfang14
FachzeitschriftEnergies
Jahrgang13
Ausgabenummer23
PublikationsstatusVeröffentlicht - Dez. 2020
Peer-Review-StatusJa

Externe IDs

Scopus 85106557493
ORCID /0000-0002-6686-3736/work/142234728

Schlagworte

Schlagwörter

  • low-level jet, wind lidar, micro-scale model simulation, HIRVAC2D, ATMOSPHERIC BOUNDARY-LAYER, WEATHER RESEARCH, GREAT-PLAINS, MODEL, CLIMATOLOGY, FLOW