Extraction of synoptic pressure patterns for long-term wind speed estimation in wind farms using evolutionary computing

Energy ◽  
2011 ◽  
Vol 36 (3) ◽  
pp. 1571-1581 ◽  
Author(s):  
L. Carro-Calvo ◽  
S. Salcedo-Sanz ◽  
N. Kirchner-Bossi ◽  
A. Portilla-Figueras ◽  
L. Prieto ◽  
...  
Keyword(s):  
Wind Speed ◽  
Evolutionary Computing ◽  
Wind Farms ◽  
Speed Estimation

scholarly journals Unified Model of Multiple Wind Turbines

2014 ◽  
Vol 51 (4) ◽  
pp. 15-24
Author(s):  
A. Mutule ◽  
O. Kochukov
Keyword(s):  
Wind Speed ◽  
Electric Power ◽  
Wind Turbines ◽  
Wind Farms ◽  
Unified Model ◽  
Electric Power System ◽  
Scanty Information ◽  
Power Curves ◽  
Turbine Model

Abstract An approach is proposed to the modelling of wind farms in the electric power system long-term planning. It allows a specialist to perform calculations based on scanty information and offers a set of ready-to-use data for easy, fast, and precise modelling. The authors exemplify the calculations of wind speed probability density and power curves and give an idea for relevant corrections. They also show how to pass from a single wind turbine model to the unified model of multiple wind turbines which would meet the requirements of long-term planning tasks. The paper presents the data on wind farms that are operating in UK and Oceania

scholarly journals Wind Speed Estimation and Parametrization of Wake Models for Downregulated Offshore Wind Farms within the scope of PossPOW Project

2014 ◽  
Vol 524 ◽  
pp. 012156 ◽  
Author(s):  
Tuhfe Göçmen Bozkurt ◽  
Gregor Giebel ◽  
Niels Kjølstad Poulsen ◽  
Mahmood Mirzaei
Keyword(s):  
Wind Speed ◽  
Wind Farms ◽  
Offshore Wind ◽  
Speed Estimation ◽  
Offshore Wind Farms

Long-term effects of wakes from offshore wind farms on the wind conditions at FINO1

2020 ◽  
Author(s):  
Marcos Ortensi ◽  
Richard Fruehmann ◽  
Thomas Neumann
Keyword(s):  
Wind Speed ◽  
Turbulence Intensity ◽  
Wind Farms ◽  
Offshore Wind ◽  
Wind Flow ◽  
Long Term Effects ◽  
Offshore Wind Farms ◽  
Clear Effect ◽  
Research Platform

<p>Investigation on how the wind conditions at the FINO1 research platform have changed through the construction of new wind farms in the vicinity. The long measurement recorded at FINO1 opens the opportunity to analyze how the progressive construction of wind farms influences the downwind wind conditions over a range of distances. In previous publications it has been shown that the wakes from the nearby wind farms Alpha Ventus, Borkum Riffgrund 1 and Trianel Windpark Borkum I have a clear effect on the wind flow, causing a reduction in wind speed and an increase in turbulence intensity.</p>

scholarly journals Extrapolating Satellite Winds to Turbine Operating Heights

2016 ◽  
Vol 55 (4) ◽  
pp. 975-991 ◽  
Author(s):  
Merete Badger ◽  
Alfredo Peña ◽  
Andrea N. Hahmann ◽  
Alexis A. Mouche ◽  
Charlotte B. Hasager
Keyword(s):  
Wind Speed ◽  
Spatial Resolution ◽  
Similarity Theory ◽  
Weather Prediction ◽  
Wind Farms ◽  
Offshore Wind ◽  
Term Stability ◽  
Long Term Stability ◽  
Nwp Model

AbstractOcean wind retrievals from satellite sensors are typically performed for the standard level of 10 m. This restricts their full exploitation for wind energy planning, which requires wind information at much higher levels where wind turbines operate. A new method is presented for the vertical extrapolation of satellite-based wind maps. Winds near the sea surface are obtained from satellite data and used together with an adaptation of the Monin–Obukhov similarity theory to estimate the wind speed at higher levels. The thermal stratification of the atmosphere is taken into account through a long-term stability correction that is based on numerical weather prediction (NWP) model outputs. The effect of the long-term stability correction on the wind profile is significant. The method is applied to Envisat Advanced Synthetic Aperture Radar scenes acquired over the south Baltic Sea. This leads to maps of the long-term stability correction and wind speed at a height of 100 m with a spatial resolution of 0.02°. Calculations of the corresponding wind power density and Weibull parameters are shown. Comparisons with mast observations reveal that NWP model outputs can correct successfully for long-term stability effects and also, to some extent, for the limited number of satellite samples. The satellite-based and NWP-simulated wind profiles are almost equally accurate with respect to those from the mast. However, the satellite-based maps have a higher spatial resolution, which is particularly important in nearshore areas where most offshore wind farms are built.

Summary on Wind Speed Distribution and its Parameter Estimation

2014 ◽  
Vol 986-987 ◽  
pp. 689-693 ◽  
Author(s):  
Hui Li ◽  
Fang Zhang
Keyword(s):  
Parameter Estimation ◽  
Wind Speed ◽  
Weibull Distribution ◽  
Wind Farms ◽  
Rayleigh Distribution ◽  
Speed Distribution ◽  
Wind Speed Distribution ◽  
Log Normal ◽  
Log Normal Distribution

The main objective of this paper is to review some models of medium-and-long-term wind speed distribution in wind farms, for example Gamma distribution, Log-normal distribution, Weibull distribution, Rayleigh distribution and Burr distribution. On the base of the Weibull distribution, some kinds of parameter estimation approaches are introduced. Meanwhile, the advantages and the disadvantages of various algorithms are analyzed and compared. The prospects of this research are put forward at the end of this paper.

State of the Art in Cup Anemometry

2021 ◽  
Author(s):  
Amir A. S. Pirooz ◽  
Richard G.J. Flay ◽  
Richard Turner ◽  
Cesar Azorin-Molina
Keyword(s):  
Wind Speed ◽  
Wind Farms ◽  
Field Measurements ◽  
Measuring System ◽  
Measurement Instruments ◽  
Response Characteristics ◽  
Wind Speeds ◽  
Experimental Approaches ◽  
Almost All

<p>Despite the great development of more accurate and sophisticated wind-measurement instruments, cup anemometers remain today the most widely used and popular anemometer in measuring wind speeds at meteorological stations and wind farms. In addition, almost all the available long-term wind speed time series across the world have been recorded by cup anemometers. Studying the response of cup anemometers and errors associated with their measurements, and also how the cup anemometer measurements are comparable with modern sensors, is of great importance, and can affect meteorological and climatological studies of long-term wind speed trends, and also wind energy estimations. </p><p>Although cup anemometers are known for being robust and reliable, long-term field measurements of wind speeds by these wind sensors can be associated with errors and uncertainties affecting the quality of recorded data and subsequent analyses. When analysing wind speed data, it is essential to understand these errors and compensate for them and distinguish them from the real climate signals.</p><p>A comprehensive review on various aspects of anemometry, particularly cup anemometers, is presented in this paper. This review includes the different designs and theory developed from the invention of this wind-speed measuring system to very recent works, the response characteristics of anemometers, anemometer calibration procedures, field and wind-tunnel experiments on anemometers, etc. In addition, the different sources of errors and uncertainties are introduced and methods, including statistical, mathematical and experimental approaches, proposed to quantify and remedy the effects of these errors are presented. Lastly, several comparative studies that investigated the response characteristics of different types of cup anemometers and other anemometers are reviewed.</p>

Ten Years of Meteorological Measurements for Offshore Wind Farms

2005 ◽  
Vol 127 (2) ◽  
pp. 170-176 ◽  
Author(s):  
Rebecca Barthelmie ◽  
Ole Frost Hansen ◽  
Karen Enevoldsen ◽  
Jørgen Højstrup ◽  
Sten Frandsen ◽  
...  
Keyword(s):  
Wind Speed ◽  
Power Output ◽  
Wind Farms ◽  
Offshore Wind ◽  
Short Term ◽  
Offshore Wind Farms ◽  
Monitoring Strategies ◽  
Wind Resource ◽  
Wind Resources

Risø has been monitoring wind resources and power output from offshore wind farms since 1993. A considerable degree of expertise has been developed in optimizing measurements and in using these databases to develop and validate models for offshore environments. This paper describes the evolution of monitoring strategies to a fully automated satellite based retrieval that provides near-real time access to offshore data, even at remote stand-alone masts. An overview of wind speed and turbulence at offshore sites in Denmark is given. Finally, three methods of generating long-term wind resource estimates from short-term measurements are outlined.

scholarly journals Techno-economic assessment of establishment of wind farms in different provinces of Saudi Arabia to mitigate future energy challenges

2019 ◽  
Vol 23 (5 Part B) ◽  
pp. 2909-2918 ◽  
Author(s):  
Syed Shaahid ◽  
Luai Alhems ◽  
Muhammad Rahman
Keyword(s):  
Saudi Arabia ◽  
Wind Speed ◽  
Frequency Distribution ◽  
Wind Farms ◽  
Capacity Factor ◽  
Cumulative Frequency ◽  
Cumulative Frequency Distribution ◽  
Kingdom Of Saudi Arabia ◽  
Yearly Average

In the present study, the techno-economic feasibility of development of 15 MW wind power plants (wind farms) in the Kingdom of Saudi Arabia has been investigated by analyzing long-term wind speed data. To achieve this aim, two geographically distinct sites covering different non-coastal locations of the Kingdom of Saudi Arabia have been selected. Long-term data indicates that the yearly average wind speed of Kingdom of Saudi Arabia varies from 3.0-4.5 m/s at 10 m height. The wind farms simulated consist of different combinations of 600 kW commercial wind machines (50 m hub-height). The NREL?s (HOMER Energy?s) HOMER software has been employed to perform the analysis. The study presents the monthly variations of wind speed, cumulative frequency distribution profiles of wind speed, monthly and yearly amount of energy generated from the proposed 15 MW wind farms (50 m hub-height) at different non-coastal locations of Kingdom of Saudi Arabia, cost of generating energy ($/kWh), capacity factor (%), etc. The cumulative frequency distribution indicates that the wind speeds are less than 3 m/s for 48% and 59% of the time during the year at Badanah (Northern province) and Khamis-Mashayt (Southern province), respectively. This implies that wind electric conversion systems or wind farms will not produce energy for 48% of the time during the year at Badanah and for 59% at Khamis-Mashayt. The annual energy produced by 15 MW wind farms (50 m hub-height) has been found to be 18778 and 11314 MWh at Northern and Southern provinces, respectively. The cost of wind-based electricity by using 600 kW (50 m hub-height) commercial wind electric conversion systems has been found to be 0.0612 and 0.1016 US$/kWh for Badanah and Khamis-Mushayt, respectively. Also, the capacity factor of the wind-based power plant has been found to vary from 9 to 15% for the considered locations.

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