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Title: Structure of Offshore Low-Level Jet Turbulence and Implications to Mesoscale-to-Microscale Coupling

Abstract

This paper explores realistic nonstationary atmospheric boundary layer (ABL) turbulence arising from nonstationarity at the mesoscale, particularly within offshore low-level jets with implications to offshore wind farms, using high-fidelity multiscale large-eddy simulations (LES). To this end, we analyzed the single-point turbulence statistical structure of a North-Atlantic offshore LLJ event simulated using high-resolution LES (AMR-Wind). The nonstationary LLJ is simulated using a mesoscale-to-microscale coupled (MMC) simulation procedure involving data assimilation of mesoscale velocity and temperature data from the Weather Research and Forecasting (WRF) model. Unlike the assimilation of mesoscale velocity data into the LES, the direct assimilation of temperature profiles had a strong impact on turbulence stratification, thereby causing erroneous predictions of turbulence both above and within the jet layer. Various approaches to mitigate this effect have resulted in multiple (four) variants of this MMC strategy. Outcomes from this work clearly show that the turbulence within the low-level jet is a strong function of the MMC approach as the turbulence structure within the low-level jet is dependent on the flux of residual turbulence from outside the jet, which in turn depends on the temperature forcing history. Additionally, the turbulence predicted by all these different methods (as well as the observation data)more » show similar deviations from equilibrium as evidenced by comparisons with idealized atmospheric turbulence structure obtained using the same numerical method. In general, we observe that the predicted LLJ turbulence tends to differ from canonical ABL turbulence with comparable shear. Particularly, the combination of shear and turbulence observed in such nonstationary low-level turbulence cannot be matched using equilibrium settings and therefore, represents a critical use-case for both testing and leveraging meso–micro coupling strategies.« less

Authors:
 [1]; ORCiD logo [2];  [1];  [1]
  1. General Electric Research, Niskayuna, NY (United States)
  2. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE); National Offshore Wind Research & Development Consortium
OSTI Identifier:
1975002
Report Number(s):
NREL/JA-5000-81954
Journal ID: ISSN 1742-6588; MainId:82727;UUID:339e6411-ce98-4870-8d9a-f4eddb2bc390;MainAdminID:69577
Grant/Contract Number:  
AC36-08GO28308; AC05-00OR22725
Resource Type:
Accepted Manuscript
Journal Name:
Journal of Physics. Conference Series
Additional Journal Information:
Journal Volume: 2265; Journal Issue: 2; Journal ID: ISSN 1742-6588
Publisher:
IOP Publishing
Country of Publication:
United States
Language:
English
Subject:
17 WIND ENERGY; atmospheric boundary layer; atmospheric structure; atmospheric thermodynamics; atmospheric turbulence; numerical methods

Citation Formats

Jayaraman, Balaji, Quon, Eliot, Li, Jing, and Chatterjee, Tanmoy. Structure of Offshore Low-Level Jet Turbulence and Implications to Mesoscale-to-Microscale Coupling. United States: N. p., 2022. Web. doi:10.1088/1742-6596/2265/2/022064.
Jayaraman, Balaji, Quon, Eliot, Li, Jing, & Chatterjee, Tanmoy. Structure of Offshore Low-Level Jet Turbulence and Implications to Mesoscale-to-Microscale Coupling. United States. https://doi.org/10.1088/1742-6596/2265/2/022064
Jayaraman, Balaji, Quon, Eliot, Li, Jing, and Chatterjee, Tanmoy. Thu . "Structure of Offshore Low-Level Jet Turbulence and Implications to Mesoscale-to-Microscale Coupling". United States. https://doi.org/10.1088/1742-6596/2265/2/022064. https://www.osti.gov/servlets/purl/1975002.
@article{osti_1975002,
title = {Structure of Offshore Low-Level Jet Turbulence and Implications to Mesoscale-to-Microscale Coupling},
author = {Jayaraman, Balaji and Quon, Eliot and Li, Jing and Chatterjee, Tanmoy},
abstractNote = {This paper explores realistic nonstationary atmospheric boundary layer (ABL) turbulence arising from nonstationarity at the mesoscale, particularly within offshore low-level jets with implications to offshore wind farms, using high-fidelity multiscale large-eddy simulations (LES). To this end, we analyzed the single-point turbulence statistical structure of a North-Atlantic offshore LLJ event simulated using high-resolution LES (AMR-Wind). The nonstationary LLJ is simulated using a mesoscale-to-microscale coupled (MMC) simulation procedure involving data assimilation of mesoscale velocity and temperature data from the Weather Research and Forecasting (WRF) model. Unlike the assimilation of mesoscale velocity data into the LES, the direct assimilation of temperature profiles had a strong impact on turbulence stratification, thereby causing erroneous predictions of turbulence both above and within the jet layer. Various approaches to mitigate this effect have resulted in multiple (four) variants of this MMC strategy. Outcomes from this work clearly show that the turbulence within the low-level jet is a strong function of the MMC approach as the turbulence structure within the low-level jet is dependent on the flux of residual turbulence from outside the jet, which in turn depends on the temperature forcing history. Additionally, the turbulence predicted by all these different methods (as well as the observation data) show similar deviations from equilibrium as evidenced by comparisons with idealized atmospheric turbulence structure obtained using the same numerical method. In general, we observe that the predicted LLJ turbulence tends to differ from canonical ABL turbulence with comparable shear. Particularly, the combination of shear and turbulence observed in such nonstationary low-level turbulence cannot be matched using equilibrium settings and therefore, represents a critical use-case for both testing and leveraging meso–micro coupling strategies.},
doi = {10.1088/1742-6596/2265/2/022064},
journal = {Journal of Physics. Conference Series},
number = 2,
volume = 2265,
place = {United States},
year = {Thu Jun 02 00:00:00 EDT 2022},
month = {Thu Jun 02 00:00:00 EDT 2022}
}

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