Wind Resource Assessment for a Proposed Wind Farm

With offshore wind becoming a key source of renewable energy there exists a requirement for the acquisition of meteorological information at the sites allocated for development. Installation of a conventional, static, meteorological mast is costly. Multiple masts are required to obtain data at several positions in a large offshore wind farm, which further increases the cost of gathering such data. A structure that has mobility for relocation about the site has the potential to reduce costs whilst improving data capture coverage. As such, an instrumentation platform in the form of a floating structure which can be moved easily is desirable. This work discusses the development of a low-motion, lightweight, floating platform with tunable motion response as a basis for a repositionable meteorological measurement station. Wind speed and direction measurements are acquired at a range of heights in the atmosphere through the use of a pulsed Lidar (light detection and ranging) system. The motions of the platform have been analyzed both numerically and experimentally, and the performance of the platform in a range of seas is good.

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The Study on Turbulence Intensity Based on CFD in the Wind Farm

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.1008-1009.144 ◽

2014 ◽

Vol 1008-1009 ◽

pp. 144-150

Author(s):

Ke Sheng ◽

Dian Wang ◽

Li Peng Wang

Keyword(s):

Turbulence Intensity ◽

Wind Farm ◽

Energy Resource ◽

Resource Assessment ◽

Wind Resource Assessment ◽

Main Basis ◽

Cfd Method ◽

Turbulence Transport ◽

Turbine Design ◽

Wind Resource

The turbulence intensity is an important parameter in wind energy resource assessment, and is the main basis of the wind turbine design and equipment shaping. This paper introduces the methods of turbulence intensity calculation, especially the method based on turbulence transport models in CFD. The CFD method of Meteodyn WT is applied to calculate turbulence intensity of wind farm site in complex terrain of some area, and the simulation is compared with measured date by the mast and the simulation based on the line model. The results show that CFD method of Meteodyn WT provides good results of turbulence intensity. It is significant that the CFD method is applied in wind resource assessment and micrositing of wind farm.

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The Influence of the Wind Measurement Campaign Duration on a Measure-Correlate-Predict (MCP)-Based Wind Resource Assessment

Energies ◽

10.3390/en12193606 ◽

2019 ◽

Vol 12 (19) ◽

pp. 3606

Author(s):

José V. P. Miguel ◽

Eliane A. Fadigas ◽

Ildo L. Sauer

Keyword(s):

Wind Speed ◽

Wind Power ◽

Wind Farm ◽

Target Location ◽

Resource Assessment ◽

Measurement Campaign ◽

Wind Measurement ◽

Wind Resource Assessment ◽

Wind Resource

Driven by the energy auctions system, wind power in Brazil is undergoing a phase of expansion within its electric energy mix. Due to wind’s stochastic nature and variability, the wind measurement campaign duration of a wind farm project is required to last for a minimum of 36 months in order for it to partake in energy auctions. In this respect, the influence of such duration on a measure-correlate-predict (MCP) based wind resource assessment was studied to assess the accuracy of generation forecasts. For this purpose, three databases containing time series of wind speed belonging to a site were considered. Campaigns with durations varying from 2 to 6 years were simulated to evaluate the behavior of the uncertainty in the long-term wind resource and to analyze how it impacts a wind farm power output estimation. As the wind measurement campaign length is increased, the uncertainty in the long-term wind resource diminished, thereby reducing the overall uncertainty that pervades the wind power harnessing. Larger monitoring campaigns implied larger quantities of data, thus enabling a better assessment of wind speed variability within that target location. Consequently, the energy production estimation decreased, allowing an improvement in the accuracy of the energy generation prediction by not overestimating it, which could benefit the reliability of the Brazilian electric system.

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Micro-siting Wind Resource Assessment and Near Shore Wind Farm Analysis in Pakpanang District, Nakhon Si Thammarat Province, Thailand

Energy Procedia ◽

10.1016/j.egypro.2014.07.071 ◽

2014 ◽

Vol 52 ◽

pp. 204-215 ◽

Cited By ~ 3

Author(s):

J. Waewsak ◽

T. Chaichana ◽

C. Chancham ◽

M. Landry ◽

Y. Gagnonc

Keyword(s):

Wind Farm ◽

Resource Assessment ◽

Wind Resource Assessment ◽

Near Shore ◽

Wind Resource

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