Paper Info
Title
Wind resource assessment using airborne LiDAR data and smoothed particle hydrodynamics.
Abstract
The increasing availability of airborne Light Detection And Ranging (LiDAR) data provides new opportunities for environmental simulations. This paper proposes a new method for wind resource assessment by using wind simulation over 3D geometry extracted from classified LiDAR data. The simulation of wind flow is performed by using Smoothed Particle Hydrodynamics (SPH) in two phases for each time-step, firstly over low-resolution Digital Elevation Model (DEM) data, and secondly over high-resolution LiDAR data. Inlet wind particles depend on the logarithmic wind profile, where the morphometric aerodynamic roughness length is considered. The estimated wind power is integrated over a given timespan, resulting in wind energy potential. The simulated velocities were validated with annual measurements, where an agreement of 80.72% and 90.81% was achieved for ~0.5km2 sized urban and rural areas, respectively. The cumulative wind energy potential at 20 m above surface height is at 7.62 GWh and 56.613 GWh for the given areas, respectively.
Year
DOI
Venue
2017
10.1016/j.envsoft.2017.05.006
Environmental Modelling & Software
Keywords
Field
DocType
Wind simulation,Wind resource assessment,LiDAR data,Aerodynamic roughness length,Typical meteorological year,Smoothed particle hydrodynamics
Meteorology,Wind resource assessment,Roughness length,Hydrology,Computer science,Remote sensing,Digital elevation model,Lidar,Wind profile power law,Wind power,Typical meteorological year,Aerodynamics
Journal
Volume
ISSN
Citations 
95
1364-8152
0
PageRank 
References 
Authors
0.34
11
3
Name
Order
Citations
PageRank
Niko Lukač1305.53
Gorzad Stumberger2165.65
B. Zalik321029.96