Wind Speed Statistical Analysis and Energy Assessment for Pulau Triso, Sarawak, Malaysia

2021 ◽  
Author(s):  
Chi Hung Chong ◽  
Andrew Ragai Henry Rigit
Keyword(s):  
Statistical Analysis ◽  
Wind Speed ◽  
Energy Assessment

التغير المناخي واثره في المقنن المائي لمحصول العنب في محافظة ديالى

2019 ◽  
Vol 1 (34) ◽  
pp. 391-422
Author(s):  
اشواق حسن حميد صالح
Keyword(s):  
Climate Change ◽  
Statistical Analysis ◽  
Wind Speed ◽  
Extreme Temperature ◽  
Solar Brightness ◽  
The Subject ◽  
Climate Station ◽  
The Times ◽  
High Level ◽  
Very High

Climate change and its impact on water resources is the problem of the times. Therefore, this study is concerned with the subject of climate change and its impact on the water ration of the grape harvest in Diyala Governorate. The study was based on the data of the Khanaqin climate station for the period 1973-2017, (1986-2017) due to lack of data at governorate level. The general trend of the elements of the climate and its effect on the water formula was extracted. The equation of change was extracted for the duration of the study. The statistical analysis was also used between the elements of the climate (actual brightness, normal temperature, micro and maximum degrees Celsius, wind speed m / s, relative humidity% The results of the statistical analysis confirm that the water ration for the study area is based mainly on the X7 evaporation / netting variable, which is affected by a set of independent variables X1 Solar Brightness X4 X5 Extreme Temperature Wind Speed ​​3X Minimal Temperature and Very High Level .

Statistical analysis of wind speed and direction in Cyprus

1996 ◽  
Vol 37 (3) ◽  
pp. 201
Author(s):  
S. Pashardes ◽  
C. Christofides
Keyword(s):  
Statistical Analysis ◽  
Wind Speed

Statistical Analysis of Weather Effects on PM2.5

2012 ◽  
Vol 610-613 ◽  
pp. 1033-1040
Author(s):  
Wei Dai ◽  
Jia Qi Gao ◽  
Bo Wang ◽  
Feng Ouyang
Keyword(s):  
Statistical Analysis ◽  
Wind Speed ◽  
Relative Humidity ◽  
Statistical Methods ◽  
Predictive Analytics ◽  
Hypothesis Test ◽  
Meteorological Data ◽  
Weather Conditions ◽  
Statistical Distribution ◽  
Weather Effects

Effects of weather conditions including temperature, relative humidity, wind speed, wind and direction on PM2.5 were studied using statistical methods. PM2.5 samples were collected during the summer and the winter in a suburb of Shenzhen. Then, correlations, hypothesis test and statistical distribution of PM2.5 and meteorological data were analyzed with IBM SPSS predictive analytics software. Seasonal and daily variations of PM2.5 have been found and these mainly resulted from the weather effects.

A temporal model for vertical extrapolation of wind speed and wind energy assessment

2021 ◽  
Vol 301 ◽  
pp. 117378
Author(s):  
Paola Crippa ◽  
Mariana Alifa ◽  
Diogo Bolster ◽  
Marc G. Genton ◽  
Stefano Castruccio
Keyword(s):  
Wind Speed ◽  
Wind Energy ◽  
Energy Assessment ◽  
Temporal Model

scholarly journals The Wind Energy Potential of Kurdistan, Iran

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Farzad Arefi ◽  
Jamal Moshtagh ◽  
Mohammad Moradi
Keyword(s):  
Wind Speed ◽  
Wind Energy ◽  
Wind Turbines ◽  
Wind Farms ◽  
Energy Potential ◽  
Average Wind Speed ◽  
Energy Assessment ◽  
Technical Specifications ◽  
Weather Stations ◽  
Calm Wind

In the current work by using statistical methods and available software, the wind energy assessment of prone regions for installation of wind turbines in, Qorveh, has been investigated. Information was obtained from weather stations of Baneh, Bijar, Zarina, Saqez, Sanandaj, Qorveh, and Marivan. The monthly average and maximum of wind speed were investigated between the years 2000–2010 and the related curves were drawn. The Golobad curve (direction and percentage of dominant wind and calm wind as monthly rate) between the years 1997–2000 was analyzed and drawn with plot software. The ten-minute speed (at 10, 30, and 60 m height) and direction (at 37.5 and 10 m height) wind data were collected from weather stations of Iranian new energy organization. The wind speed distribution during one year was evaluated by using Weibull probability density function (two-parametrical), and the Weibull curve histograms were drawn by MATLAB software. According to the average wind speed of stations and technical specifications of the types of turbines, the suitable wind turbine for the station was selected. Finally, the Divandareh and Qorveh sites with favorable potential were considered for installation of wind turbines and construction of wind farms.

scholarly journals Analysis of possibilities to improve quality of spatial wind speed forecasts for efficient forecasting of electric energy production in onshore wind farms in Poland

2019 ◽  
Vol 84 ◽  
pp. 01001
Author(s):  
Paweł Piotrowski ◽  
Dariusz Baczyński ◽  
Marcin Kopyt ◽  
Karolina Szafranek
Keyword(s):  
Statistical Analysis ◽  
Wind Speed ◽  
Energy Production ◽  
Meteorological Data ◽  
Electric Energy ◽  
Wind Farms ◽  
Bilinear Method ◽  
Explanatory Variables ◽  
Forecasting Methods

The most important factor responsible for the quality of energy production forecasts in wind farms is the accurate wind speed forecast. An extensive statistical analysis of meteorological data (NWP) from 16 base nodes of the "300" grid in the "Łódź" area was made. The intention of the statistical analysis was to select potential explanatory variables for models predicting wind speed in the remaining 206 nodes of the grid’s mesh. Next, tests of selected prognostic methods were performed in order to compare their effectiveness with bilinear method which is not computationally complex. It should be emphasized that the main problem in spatial wind speed forecasting is the very large number of nodes for which the forecasts are calculated. As a consequence, more advanced and computationally complex forecasting methods cannot be applied in practice due to too long calculations time and difficulties in huge amounts of data processing. Conclusions with proposals of preferred forecasting methods that could be used in practice were developed.

scholarly journals Wind energy assessment considering wind speed correlation in Malaysia

2016 ◽  
Vol 54 ◽  
pp. 1389-1400 ◽  
Author(s):  
H.H. Goh ◽  
S.W. Lee ◽  
Q.S. Chua ◽  
K.C. Goh ◽  
K.T.K. Teo
Keyword(s):  
Wind Speed ◽  
Wind Energy ◽  
Energy Assessment

Alternative Method of Wind Measurement via Interpreting Dynamic Behaviors of a Helium Balloon

2014 ◽  
Vol 137 (1) ◽  
Author(s):  
Nataporn Korprasertsak ◽  
Thananchai Leephakpreeda
Keyword(s):  
Wind Speed ◽  
Wind Profile ◽  
Low Cost ◽  
Wind Farms ◽  
Construction Time ◽  
Motion Equations ◽  
Dynamic Behaviors ◽  
Wind Measurement ◽  
Swing Angle ◽  
Energy Assessment

Wind measurement is crucial for wind energy assessment and development of wind farms. For conventional measurement, wind sensors are implemented on a wind mast at desired heights. This approach causes substantial costs of construction, time, and maintenance. The paper presents a simple low-cost method of wind measurement via interpreting dynamic behaviors of a helium balloon. A helium balloon is installed at the desired height where it is pulled by a cord of corresponding length. The end of the cord is tied to a specially designed holding mechanism of a rotating arm, which always leads to direction of wind. For wind speed, aerodynamic performance of the helium balloon is numerically investigated by mathematical models. It is found that drag force due to wind through the helium balloon dynamically balances forces of buoyancy, gravity, and tension. Therefore, wind speed at the balloon height can be determined from motion equations and drag equation since variables of the helium balloon are measured such as the swing angle away from vertical line and cord tension. By applying the wind profile power law, the wind speed data at the balloon height can be further adjusted to the values at the desired height. Experiments in a field study are readily performed to show great viability of the proposed methodology.

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