Wind Power Projects Planning Considering Real Options for the Wind Resource Assessment

2012 ◽  
Vol 3 (1) ◽  
pp. 158-166 ◽  
Author(s):  
Eduardo Alejandro Martinez-Cesena ◽  
Joseph Mutale
Keyword(s):  
Real Options ◽  
Wind Power ◽  
Resource Assessment ◽  
Wind Resource Assessment ◽  
Wind Resource

scholarly journals Wind Resource Assessment on Puná Island

2019 ◽  
Vol 9 (14) ◽  
pp. 2923
Author(s):  
Yuri Merizalde ◽  
Luis Hernández-Callejo ◽  
Javier Gracia Bernal ◽  
Enrique Telmo Martínez ◽  
Oscar Duque-Perez ◽  
...  
Keyword(s):  
Wind Energy ◽  
Wind Power ◽  
Low Cost ◽  
Resource Assessment ◽  
Wind Resource Assessment ◽  
The Pacific ◽  
The Hours ◽  
The Pacific Ocean ◽  
Wind Resource

Puná Island, located in the Pacific Ocean off the southern coast of Ecuador, has a population of approximately 3344 inhabitants. However, not all inhabitants have access to electricity, which is largely supplied by diesel generators. Therefore, to identify a renewable, sustainable, environmentally friendly and low-cost alternative, a 40-m-high anemometer tower was installed for wind resource assessment and to determine the possibility of generating electricity from wind energy. Based on mathematical models for electricity generation from wind energy, data were analyzed using the software Windographer and WAsP, to determine a long-term wind speed of 4.8 m/s and a mean wind power density of 272 W/m2. By simulating the use of a 3.3-MW wind turbine, we demonstrated that as much as 800 kWh could be generated during the hours when the wind reaches its highest speed. In addition to demonstrating the technical feasibility of meeting the electricity demands of Puná Island through wind power, this study exemplifies a method that can be used for wind resource assessment in any location.

scholarly journals A new formulation for rotor equivalent wind speed for wind resource assessment and wind power forecasting

Wind Energy ◽  
2015 ◽  
Vol 19 (8) ◽  
pp. 1439-1452 ◽  
Author(s):  
Aditya Choukulkar ◽  
Yelena Pichugina ◽  
Christopher T. M. Clack ◽  
Ronald Calhoun ◽  
Robert Banta ◽  
...  
Keyword(s):  
Wind Speed ◽  
Wind Power ◽  
Resource Assessment ◽  
Wind Power Forecasting ◽  
Wind Resource Assessment ◽  
New Formulation ◽  
Wind Resource ◽  
Power Forecasting

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

Energies ◽  
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.

Assessment of Offshore Wind Resource in China Using CFSR Data

2014 ◽  
Vol 1070-1072 ◽  
pp. 303-308
Author(s):  
Shuang Long Jin ◽  
Shuang Lei Feng ◽  
Bo Wang ◽  
Ju Hu ◽  
Zhen Qiang Ma ◽  
...  
Keyword(s):  
Wind Power ◽  
Large Scale ◽  
Wind Farms ◽  
Resource Assessment ◽  
Reanalysis Data ◽  
Offshore Wind ◽  
Ground Vegetation ◽  
Observation Data ◽  
Wind Resource Assessment ◽  
Wind Resource

The offshore wind farms have many advantages over the onshore ones: they are not affected by the terrain, ground vegetation, buildings and other landscape features, so they have stronger and steadier wind, higher wind power density, smaller turbulence intensity and other advantages. Therefore, offshore wind power becomes the developing trends of wind power industry nowadays. However, its development faces the challenge of how to assess offshore wind resources accurately. It is difficult to get accurate, long-term, large-scale measured data on sea, and the nearshore observations cannot be substitute for the offshore wind conditions directly. This paper applies the NCEP CFSR reanalysis data (combines with the WMO marine observation data) to research the offshore wind resource assessment of China. We find that CFSR reanalysis data is consistent with the observation data, and it can provide a reference for China offshore wind resource assessment. The result of China offshore wind resource distribution is obtained finally.

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