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A parametric model for wind turbine power curves incorporating environmental conditions

TLDR
An open-source model which can generate the power curve of any turbine, adapted to the specific conditions of any site, is developed and validated against the manufacturer power curves of 91 turbine models.
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This article is published in Renewable Energy.The article was published on 2020-09-01 and is currently open access. It has received 58 citations till now. The article focuses on the topics: Turbine & Wind speed.

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Citations
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Journal ArticleDOI

Offshore wind competitiveness in mature markets without subsidy

TL;DR: In this paper, the authors harmonize the auction results from five countries based on their design features, showing that offshore wind power generation can be considered commercially competitive in mature markets and that the price paid for power from offshore wind farms across northern Europe fell by 11.9% per year between 2015 and 2019.
Journal ArticleDOI

Day-ahead wind power forecasting based on the clustering of equivalent power curves

TL;DR: An improved Fuzzy C-means (FCM) Clustering Algorithm for day-ahead wind power prediction to resolve the difference in wind power output is proposed and validated using historical data taken from two different wind farms located in northeastern China.
Journal ArticleDOI

High-resolution large-scale onshore wind energy assessments: A review of potential definitions, methodologies and future research needs

TL;DR: In this article , the authors review methods and assumptions for analysing geographical, technical, economic and, finally, feasible onshore wind potentials, including aspects related to land eligibility criteria, energy meteorology, and technical developments of wind turbine characteristics such as power density, specific rotor power and spacing aspects.
Journal ArticleDOI

Wind power potential and intermittency issues in the context of climate change

TL;DR: In this article, an empirical Parametric Power Curve Function (EPPCF) model is proposed to calibrate a power curve function for a realistic estimate of wind power from weather and climate model data at the regional or national scale.
References
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Book

Power Generation, Operation, and Control

TL;DR: In this paper, the authors present a graduate-level text in electric power engineering as regards to planning, operating, and controlling large scale power generation and transmission systems, including characteristics of power generation units, transmission losses, generation with limited energy supply, control of generation, and power system security.
Journal ArticleDOI

Factorial sampling plans for preliminary computational experiments

TL;DR: In this article, the problem of designing computational experiments to determine which inputs have important effects on an output is considered, and experimental plans are composed of individually randomized one-factor-at-a-time designs, and data analysis is based on the resulting random sample of observed elementary effects.
Journal ArticleDOI

General model for representing variable speed wind turbines in power system dynamics simulations

TL;DR: In this paper, a model that can be used to represent all types of variable speed wind turbines in power system dynamics simulations is presented, and some results obtained after incorporation of the model in PSS/E, a widely used power system simulation software package, are presented and compared with measurements.
Journal ArticleDOI

Long-term patterns of European PV output using 30 years of validated hourly reanalysis and satellite data

TL;DR: In this paper, the authors demonstrate how the MERRA and MERRA-2 global meteorological reanalyses as well as the Meteosat-based CM-SAF SARAH satellite dataset can be used to produce hourly PV simulations across Europe.
Related Papers (5)
Frequently Asked Questions (8)
Q1. What are the contributions mentioned in the paper "A parametric model for wind turbine power curves incorporating environmental conditions" ?

The typical shape of a power curve is well known and has been studied extensively. The model is described, the impact of each technical and environmental feature is examined, and it is then validated against the manufacturer power curves of 91 turbine models. The authors therefore develop an open-source model for pitch regulated horizontal axis wind turbine which can generate the power curve of any turbine, adapted to the specific conditions of any site. 

Since the relationship between wind power and wind speed184 is non-linear, the effect of high frequency variations in the wind speed on the power must be taken into185 consideration [28]. 

As soon as the rotational speed is bounded by the maximal rotational311 speed, increase of the wind speed brings about decrease of the power coefficient which can ultimately results312 in a decrease of the power (blue curves in Figure 8-a).313 

It is interesting to note that for very small rotors, the power curves move away from a cubic increase309 and even decrease at high wind speed. 

The power coefficient is plotted as a function of wind speed for all turbines in the left350 plot, and a histogram of the maximum values for each turbine is shown in the right plot. 

It can be observed that the cut-off wind speed has the315 largest impact on the power curve while the sensitivity of the power curve to the cut-in wind speed is316 moderate. 

the effect of wind veer is larger that that of the wind shear because260 the effective wind speed decreases above and under the hub so that there is no balancing effect. 

The sensitivity of the model to the minimum rotation speed is more pronounced and should accordingly be329 carefully chosen since the frequency of occurrence of the wind speed in the interval 3-9 m/s is high.330