Published July 1, 2019 | Version v1
Journal article

Assessment of wind fields over forested sites with LES and a nacelle lidar

  • 1. Uppsala University Campus Gotland, Department of Earth Sciences, Wind Energy Section, 621 67 Visby (Sweden)

Description

The capability of a model based on Large-Eddy Simulations to reproduce turbulence measurements over a forest of heterogeneous density is assessed. Measurements are obtained from an experimental campaign with a continuous wave lidar mounted on the nacelle of a wind turbine (not considered in this work) that scans over a cone in the upstream direction. The measurements are then compared with the results of the LES of the atmospheric boundary layer in neutral stability conditions. The model comprises a full description of the forest over a large area upstream of the lidar by using plant area density data obtained with airborne laser scans, which also provides the terrain elevation. Although the relatively restricted mesh refinement of the LES leads to a limited representation of turbulence towards higher frequencies, comparisons with the measurements show that the model is capable of reproducing the turbulence levels and spatial coherence in the hypothetical rotor plane. Results permit to conclude that the LES-based model is a suitable tool to identify and predict the microscale effects that terrain features have in the wind resource for sites of high complexity. This work exemplifies the challenges associated to the process and interpretation of data from the employed lidar and its setup, for which a filtering technique potentially useful in future studies is presented. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1742-6596/1256/1/012002

Additional details

Publishing Information

Journal Title
Journal of Physics. Conference Series (Online)
Journal Volume
1256
Journal Issue
1
Journal Page Range
[21 p.]
ISSN
1742-6596

Conference

Title
Wake Conference 2019
Dates
22-24 May 2019
Place
Visby (Sweden)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
53057413
Subject category
S17: WIND ENERGY; S46: INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY;
Resource subtype / Literary indicator
Conference
Descriptors DEI
BOUNDARY LAYERS; DENSITY; LARGE-EDDY SIMULATION; LASERS; OPTICAL RADAR; ROTORS; TURBULENCE; WIND; WIND TURBINES
Descriptors DEC
COMPUTERIZED SIMULATION; EQUIPMENT; LAYERS; MACHINERY; MEASURING INSTRUMENTS; PHYSICAL PROPERTIES; RADAR; RANGE FINDERS; SIMULATION; TURBINES; TURBOMACHINERY