Estimation of wake effect in wind farms using design of experiment methodology

Tahavorgar, Amir; Quaicoe, John E.

doi:10.1109/ecce.2013.6647136

Cited by 5 publications

(4 citation statements)

References 9 publications

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“…v d (x) at a downstream WT that is only partially shadowed by an upstream turbine can be calculated according to (6) [29]. This equation takes the relation of the rotor area A and the shadowed part A shad into account to evaluate the reduced impact of the wake effect.…”

Section: B Wake Effectmentioning

confidence: 99%

Optimum design of medium-voltage DC collector grids depending on the offshore-wind-park power

Stieneker

Mortimer

Averous

et al. 2014

2014 IEEE Symposium on Power Electronics and Machines for Wind and Water Applications

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DC collector grids within offshore wind park offer advantages regarding efficiency and investment costs. Dualactive bridge (DAB) dc-dc converter systems can be applied for stepping-up the dc output-voltage of wind turbines (WT). The increase of the voltage level reduces the effort for cabling and increases the system efficiency. Within this paper, the advantage of DAB converter systems used in offshore medium-voltage dc (MVDC) grids is presented. Also, the optimum design of wind park clusters regarding the wake effect and grid losses is investigated to maximize the energy yield.

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Section: B Wake Effectmentioning

confidence: 99%

Optimum design of medium-voltage DC collector grids depending on the offshore-wind-park power

Stieneker

Mortimer

Averous

et al. 2014

2014 IEEE Symposium on Power Electronics and Machines for Wind and Water Applications

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“…The use of factorial DOE-ANOVA analysis has been reported in several studies of Oceanography and Ocean Engineering such as wave run-up, debris loads, coastal protection, naval design, and ocean modelling [10][11][12][13]. Tahavorgar and Quaicoe [14] presented an example of a design of experiments that models the wind speed in wind turbine units is presented. Ukita et al [15] explained how a factorial design works and how each input variable affects the response variables.…”

Section: Introductionmentioning

confidence: 99%

DOE-ANOVA Analysis to Estimate the Effect of Ambient Temperature, Pressure and Humidity on Surface Wind Speed

Vega-Zuñiga,

Rueda-Bayona,

Ospino-Castro

2024

MMEP

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The traditional assessment of wind resource considers the ambient factors like temperature, pressure and humidity as a secondary parameter, and focus on the statistically evaluation of wind magnitude and direction. Nevertheless, the evaluation requires a deeper analysis of the above ambient factors, because they are thermodynamically linked, and the energy flux among them will affect the wind dynamics. This research aims to analyse the interactions of temperature, pressure, and humidity variables with the wind speed with an inverse approach, it means that wind will be controlled by the ambient variables. We conducted a statistical analysis using data from a meteorological station located in the University of the Coast in Barranquilla, Colombia. The methodology is based on a Design of Experiments-Analysis of Variance (DOE-ANOVA) with a 3 2 factorial design. The estimated effects from the DOE-ANOVA results were utilized to generate standardized effect equations, for evaluating the response of wind speed during changes of the studied ambient variables (factors). The results evidenced that the applied methodology provided information about the non-linear interactions of the analysed variables, and the standardized effect equations were tested against a liner regression model with satisfactory results.

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“…Wind turbines (WTs) and wind farms (Wind Farms) are becoming more and more powerful as wind energy technology develops. Weighing more, the wake effect has more of an impact on energy yields [6]. The Jensen model, the Ainslie model, and the G.C.…”

Section: Introductionmentioning

confidence: 99%

New approach to optimize the cost and interconnections of wind turbines using the PSO algorithm

et al. 2022

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Wind power’s current growth rates are among the fastest in the world. Research on techniques to make wind farms more energy efficient is warranted for this reason. Optimizing the location of wind turbines within wind farms makes the use of wind energy more efficient and makes wind farms more competitive with other energy sources. The investment expenses for the only substations and electrical infrastructures of the offshore wind farms represent between 15 and 30% of the overall investment cost of the project, this leads us to study the optimization of the location of the substation. can reduce these expenses, which also reduces the total cable length inside the wind farm. Our objective is therefore to study the optimization of wind farms with two objective functions aimed at minimizing the costs of installing wind turbines and reducing connectivity between wind turbines using a metaheuristic PSO algorithm.

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Estimation of wake effect in wind farms using design of experiment methodology

Cited by 5 publications

References 9 publications

Optimum design of medium-voltage DC collector grids depending on the offshore-wind-park power

Optimum design of medium-voltage DC collector grids depending on the offshore-wind-park power

DOE-ANOVA Analysis to Estimate the Effect of Ambient Temperature, Pressure and Humidity on Surface Wind Speed

New approach to optimize the cost and interconnections of wind turbines using the PSO algorithm

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