Turbulence of Landward and Seaward Wind during Sea-Breeze Days within the Lower Atmospheric Boundary Layer

Roy, Sayahnya; Sentchev, Alexei; Fourmentin, Marc; Augustin, Patrick

doi:10.3390/atmos12121563

Cited by 3 publications

(4 citation statements)

References 34 publications

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“…The cell state in one LSTM block is updated by four interacting layers, namely, forgetting gate, input gate, cell state updating, and output gate. Equations involved in these gates are detailed in [3]. Note that a number of trials with hidden units was made to optimize the hyperparameter.…”

Section: Detection Methodsmentioning

confidence: 99%

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Machine Learning and Deterministic Methods for Detection Meteorological Phenomena from Ground Measurements: Application for Low-Level Jet and Sea-Breeze Identification in Northern France

et al. 2022

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This study focused on the detection of mesoscale meteorological phenomena, such as the nocturnal low-level jet (NLLJ) and sea breeze (SB), using automatic deterministic detection wavelet technique algorithms (HWTT and SWT) and the machine learning recurrent neural network (RNN) algorithm. The developed algorithms were applied for detection of NLLJ and SB events from ultrasonic anemometer measurements, performed between January 2018 and December 2019 at a nearshore experimental site in the north of France. Both algorithms identified the SB and NLLJ days successfully. The accuracy of SB event detection by the RNN algorithm attained 95%, and we identified 67 and 78 SB days in 2018 and 2019, respectively. Additionally, a total of 192 and 168 NLLJ days were found in 2018 and 2019, respectively. To demonstrate the capability of the algorithms to detect SB and NLLJ events from near-ground ultrasonic anemometer measurements, analysis of the simultaneous wind lidar measurements available for 86 days were performed. The results show a good agreement between the RNN-based detection method and the lidar observations, detecting 88% of SB. Deterministic algorithms (HWTT and SWT) detected a similar number of NLLJ events and provided high correlation (0.98) with the wind lidar measurements. The meteorological phenomena studied can significantly affect the energy production of offshore wind farms. It was found that the maximum hourly average peak power production could be to 5 times higher than that of the reference day due to higher wind speed observed during NLLJ events. During SB events, hourly average peak power production could be up to 2.5 times higher. In this respect, the developed algorithms applied for analysis, from near-ground anemometer measurements, may be helpful for monitoring and forecasting the meteorological phenomena capable of disturbing the energy production of offshore wind turbines.

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Section: Detection Methodsmentioning

confidence: 99%

“…During these events, changes in wind speed, direction, and turbulence parameters occur at a time scales smaller than one hour. As a result, NLLJ and SB may have some impacts on the power production of wind turbines and air quality [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

Machine Learning and Deterministic Methods for Detection Meteorological Phenomena from Ground Measurements: Application for Low-Level Jet and Sea-Breeze Identification in Northern France

et al. 2022

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“…Complex dynamical turbulent processes associated to the stratified turbulence under shear are observed in atmosphere and in industry. This kind of turbulence problem presents an attractive physical field as it plays a key role to improve our understanding of behaviors of geophysical flows [1][2][3][4]. Dynamical turbulent processes associated to the stratified turbulence submitted to an inclined shear are encountered in industry and atmosphere.…”

Section: Introductionmentioning

confidence: 99%

Evaluation SSG-LRR Model on an Homogeneous Turbulence under Inclined Shear for High and Low Stratification: Shear Number Effect

Thamri¹,

Naffouti²

2023

Boundary Layer Flows - Modelling, Computation, and Applications of Laminar, Turbulent Incompressible and Compressible Flows

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This chapter develops proposals for an evaluation coupled second order model of SSG-LRR on an homogeneous turbulence submitted to an inclined shear for high and low stratification. The effect of Shear number on thermal and dynamic turbulent fields of the problem is performed for Shear number fixed at 2, 6, 14 and 20. Two values of Froude number equal to 0.35 and 1.29 are adopted for all numerical simulations corresponding to high and low stratification, respectively. For all simulations, value of angle theta is fixed at θ = π/4 corresponding to the angle between the shear and the vertical gradient of stratification. SSG-LRR model is adopted to compute turbulent parameters of principal component of anisotropy b12, normalized turbulence dissipation ε/KS and the density flux ρu1¯. A good agreement is detected by comparison of findings via model of SSG-LRR with the reported results in the literature by Direct Numerical Simulation of Jacobitz (DNSJ). It is found that the variation of Shear number predict a very strong influence on thermal and dynamic turbulent characteristics. Hence, findings with SSG-LRR model prove the existence of an asymptotic equilibrium states for various thermal and dynamic parameters in particularly for a low stratification.

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“…During SB the wind speed increases and the wind blows from the sea towards the land. This phenomenon occurs due to an adverse atmospheric pressure gradient generated by the temperature difference between land and sea (Augustin et al 2020, Mazon et al 2015, Roy et al 2021b during the daytime. During clear weather, after sunset, a strong wind acceleration can be observed around 50-1000 m above ground level (a.g.l.…”

Section: Introductionmentioning

confidence: 99%

Advanced methods of identification of sea-breeze and low-level jet events from near ground measurements with specific implication for energy production by offshore wind farms

Roy¹,

Sentchev²,

Augustin³

et al. 2022

Trends in Renewable Energies Offshore

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HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

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Turbulence of Landward and Seaward Wind during Sea-Breeze Days within the Lower Atmospheric Boundary Layer

Cited by 3 publications

References 34 publications

Machine Learning and Deterministic Methods for Detection Meteorological Phenomena from Ground Measurements: Application for Low-Level Jet and Sea-Breeze Identification in Northern France

Machine Learning and Deterministic Methods for Detection Meteorological Phenomena from Ground Measurements: Application for Low-Level Jet and Sea-Breeze Identification in Northern France

Evaluation SSG-LRR Model on an Homogeneous Turbulence under Inclined Shear for High and Low Stratification: Shear Number Effect

Advanced methods of identification of sea-breeze and low-level jet events from near ground measurements with specific implication for energy production by offshore wind farms

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