scholarly journals Determination of Wind Exposure Category and Basic Wind Speed for B332 and Other Facilities Located within Superblock

2020 ◽  
Author(s):  
M. Sampson ◽  
Y. Lucille
Keyword(s):  
Wind Speed ◽  
Exposure Category ◽  
Wind Exposure

Determination of rated wind speed for maximum annual energy production of variable speed wind turbines

2017 ◽  
Vol 205 ◽  
pp. 781-789 ◽  
Author(s):  
Ahmad Sedaghat ◽  
Arash Hassanzadeh ◽  
Jamaloddin Jamali ◽  
Ali Mostafaeipour ◽  
Wei-Hsin Chen
Keyword(s):  
Wind Speed ◽  
Wind Turbines ◽  
Energy Production ◽  
Variable Speed

Determination of turbulent-layer wind speed from G-SCIDAR data using an algorithm based on wavelet transforms

2007 ◽  
Author(s):  
B. García-Lorenzo ◽  
J. J. Fuensalida
Keyword(s):  
Wind Speed ◽  
Wavelet Transforms ◽  
Turbulent Layer

The Influence of Complex Dynamic Phenomena Caused by Wind Action on Behaviour of Transportation Pipelines

2013 ◽  
Vol 837 ◽  
pp. 170-174
Author(s):  
Gheorghe Pintilie
Keyword(s):  
Wind Speed ◽  
Aerodynamic Force ◽  
Mathematical Expression ◽  
Periodic Variation ◽  
Operating Conditions ◽  
Frequency Variation ◽  
Wind Action ◽  
Karman Vortex ◽  
Dynamic Phenomena

The main transportation pipelines are subjected to complex stresses resulting from the nature and state of the transported material, the operating conditions, and the environmental factors and so on. Thus, the stress in the pipe wall is generated and influenced by the pressure, the temperature and the mass of the transported fluid, by the weight of the pipe, the ambient temperature and in certain periods of time by the wind speed. In this paper are presented dynamic phenomena generated by wind flow and their effect on the magistrate transportation pipelines. The content of the paper presents an detailed analysis regarding the regimes in which is developing the force generated by Karman vortex and the situation when resonance phenomena are developed. The study presents a mathematical model that describes the dynamic phenomena generated by the wind action, determining the mathematical expression of the aerodynamic force that act on the normal direction to the wind speed. This force is having a periodic variation, its size and the frequency variation is dependent on the wind speed. Some methods are proposed in order to decrease the wind influence on the lifetime of transportation pipelines. The main results of the study are: determination of the speed range for which the dynamic phenomena have a high influence on the pipeline lifetime; determination of the real conditions that can lead to sharp rises of the pipe deformations; determination of the pipeline lifetime reduction under development of dynamic loads.

Microwave radiometric determination of wind speed at the surface of the ocean during BESEX

1977 ◽  
Vol 2 (1) ◽  
pp. 111-120 ◽  
Author(s):  
T. Wilheit ◽  
M.G. Fowler
Keyword(s):  
Wind Speed ◽  
Radiometric Determination

Determination of Acceptable Sampling Rates for Recording Wind-Speed Data

1979 ◽  
Vol 22 (5) ◽  
pp. 1175-1177 ◽  
Author(s):  
R. C. Werner ◽  
L. H. Soderholm ◽  
R. H. Shaw
Keyword(s):  
Wind Speed ◽  
Wind Speed Data

scholarly journals Ground-based magnetometer determination of in situ Pc4-5 ULF electric field wave spectra as a function of solar wind speed

2012 ◽  
Vol 117 (A4) ◽  
pp. n/a-n/a ◽  
Author(s):  
I. Jonathan Rae ◽  
Ian R. Mann ◽  
Kyle R. Murphy ◽  
Louis G. Ozeke ◽  
David K. Milling ◽  
...  
Keyword(s):  
Solar Wind ◽  
Wind Speed ◽  
Electric Field ◽  
Solar Wind Speed ◽  
Wave Spectra ◽  
Field Wave

DETERMINATION OF THE CORRELATION BETWEEN INDIVIDUAL METEOROLOGICAL VALUES AT THE BEGINNING OF THE DEPOSITION OF ICE ON THE TERRITORY OF UKRAINE BY THE MONTHS OF THE COLD PERIOD OF THE YEAR DURING 2001-2013 AND THEIR SPATIAL DISTRIBUTION

2019 ◽  
pp. 140-151
Author(s):  
S.I. Pyasetska ◽  
N.P. Grebenyuk ◽  
S.V. Savchuk
Keyword(s):  
Wind Speed ◽  
Relative Humidity ◽  
Sea Level ◽  
Meteorological Parameters ◽  
Cold Period ◽  
Sea Level Pressure ◽  
Average Maximum ◽  
Average Relative Humidity ◽  
Maximum Minimum

The article presents the results of the study of the determination of the correlation connection between a number of meteorological values at the beginning of the deposition of ice on the wires of a standard ice-cream machine in certain months of the cold period of the year on the territory of Ukraine during 2001-2013. The research was conducted for 3 winter months, as well as for March and November. The pair of meteorological parameters have been determined at the beginning of the deposition of ice that have a statistically significant correlation coefficient and a spatial-temporal distribution of the distribution in certain months across the territory of Ukraine has been obtained. The most common variant of the statistically significant connection between individual meteorological parameters was the connection between the temperature of the water column (average, maximum, minimum) and relative humidity of air (average, maximum). Thus, for almost all months studied, a statistically significant correlation between the temperature of the vapor (average, maximum, minimum) and relative humidity of air (average, maximum) was established. For the winter months, the correlation coefficient of this connection was positive, and for March and November, it was negative. A widespread version of a statistically significant connection was the relationship between the air temperature (average, maximum, minimum) and the height of the snow cover. This connection for the months studied turned out to be negative. The variants of negative statistically significant connection between average wind speed and average relative humidity of air (January-February, December), average and maximum wind speed and sea-level pressure (November), and also between daily amount precipitation and snow (March), daily rainfall and wind speed (average, maximum), and pressure at sea level (November). During the months of the cold period of the year, statistically significant connections between the air temperature (average, maximum) and pressure at sea level (November), wind speed (average, maximum) and average humidity (January, December), pressure on sea levels and average relative humidity (March). Also, there were isolated cases of statistically significant correlation between snow and sea level pressure (December). The most frequently statistically significant connections between meteorological values at the dates of deposition of ice on the wires of a standard icing machine were observed at stations in the central, northeastern, eastern and separate southern regions.

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