Enrichment methods for inflow turbulence generation in the atmospheric boundary layer
- 1. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- 2. Stanford University, Stanford, CA (United States)
Description
Here, we investigate the feasibility of introducing synthetic turbulence into finite-domain large-eddy simulations (LES) of the wind plant operating environment. This effort is motivated by the need for a robust mesoscale-to-microscale coupling strategy in which a microscale (wind plant) simulation is driven by mesoscale data without any resolved microscale turbulence. A neutrally stratified atmospheric boundary layer was simulated in an LES with 10-m grid spacing. We show how such a fully developed turbulence field may be reproduced with spectral enrichment starting from an under-resolved coarse LES field (with 20-m and 40-m grid spacing). The velocity spectra of the under-resolved fields are enriched by superimposing a fluctuating velocity field calculated by two turbulence simulators: TurbSim and Gabor Kinematic Simulation. Both forms of enrichment accurately simulated the autospectra of all three velocity components at high wavenumbers, with agreement between the enriched fields and the full-resolution LES observed at 400 m from the inflow boundary. In contrast, the spectra of the unenriched fields reached the same fully developed state at four times the downstream distance.
Availability note (English)
Available from https://www.osti.gov/servlets/purl/1462467; https://www.osti.gov/biblio/1462467; DOE Accepted Manuscript full text, or the publishers Best Available Version will be available free of charge after the embargo periodAdditional details
Additional titles
- Augmented title (English)
- KEYWORDS: ATMOSPHERIC BOUNDARY LAYER; KINEMATICS; LARGE EDDY SIMULATION; TORQUE; TURBULENCE; VELOCITY
Identifiers
Publishing Information
- Journal Title
- Journal of Physics. Conference Series
- Journal Volume
- 1037
- Journal Page Range
- vp.
- ISSN
- 1742-6588
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- United States
- INIS RN
- 51031675
- Subject category
- S17: WIND ENERGY; S42: ENGINEERING;
- Descriptors DEI
- BOUNDARY LAYERS; LARGE-EDDY SIMULATION; SIMULATORS; TURBULENCE; VELOCITY
- Descriptors DEC
- ANALOG SYSTEMS; COMPUTERIZED SIMULATION; FUNCTIONAL MODELS; LAYERS; SIMULATION
Optional Information
- Contract/Grant/Project number
- AC36-08GO28308
- Funding organization
- USDOE Office of Energy Efficiency and Renewable Energy (EERE) (United States)
- Secondary number(s)
- NREL/JA--5000-71378; OSTIID--1462467