Efficiency of wind power production and its determinants

Pieralli, Simone; Ritter, Matthias; Odening, Martin

doi:10.1016/j.energy.2015.07.055

Cited by 25 publications

(17 citation statements)

References 12 publications

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“…Methods from production economics have recently been used in wind energy applications. Two studies are noted but neither of them addressed simultaneously both aforementioned problems of convex/concave piecewise linear methods in dealing with wind turbine data. Carvalho et al.…”

Section: Estimation Of the Best Performance Benchmarkmentioning

confidence: 99%

A production economics analysis for quantifying the efficiency of wind turbines

2017

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We quantify the productive efficiency of a wind turbine, using power output and environmental variable data, measured either at the turbine or at a meteorological mast near the turbine. The methods described can potentially help with decision makings in asset procurement, maintenance planning, or wind turbine control optimization. The current recommendation from the International Electrotechnical Commission regarding turbine performance evaluation is to use a power curve or power coefficient. What is commonly used in practice is the average performance power curve or power coefficient. When using the power curve to quantify productive efficiency, one crucial shortcoming is the lack of a common best performance benchmark, while the power coefficient approach uses an absolute efficiency measure that is not achievable. We introduce a new approach for efficiency quantification based upon production economics' concepts which provides estimates of a best performance benchmark. Our specific approach has two main components: (a) a best performance power curve is estimated and used together with the average performance curve to show how well a turbine has performed relative to its full potential; and (b) a covariate matching procedure is developed to control for environmental influences for the comparison of turbine performances over different periods. Through a simulation study, we demonstrate that the proposed efficiency is more sensitive to potential changes in the turbine. When analyzing multi-year wind turbine data, we observe that the turbine's efficiency is improving during the first 2 years of operation and then remains relatively constant during years 3 and 4.

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Section: Estimation Of the Best Performance Benchmarkmentioning

confidence: 99%

A production economics analysis for quantifying the efficiency of wind turbines

2017

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“…Site to site capacity factor for wind power is different. In the UK it reached 26-35% onshore and the offshore wind capacity in Denmark reached to 41-50% [44,46]. Wind power generation typically depends on three factors: the turbine type (vertical/horizontal axis), installation of wind power (onshore/offshore) and grid connectivity (connected or standby).…”

Section: Wind Energymentioning

confidence: 99%

State of the Art Compendium of Macro and Micro Energies

Ahamd

2019

Adv. Sci. Technol. Res. J.

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In the span of past few decades, population, urbanization and industrialization have transformed the mankind living standard and dynamics of the nature. Certainly, energy is the basic need for all living organisms. Energy is the route towards the economic growth. The evidence shows that the countries faced with energy crises are left behind in the economic activities; as a result, people are deprived. This study reviewed the available renewable energy resources and potential with positive and negative aspects. This study comprehensively discusses the renewable macro and micro energy resources studied in the past two decades reported in various studies. The paper is divided into two sections; the first section discusses the energy produced in the macro level and the second section discusses the energy produced using different strategies and techniques in the micro level. The potential and positive outcomes of the energy resources were identified. New paradigm of micro energies and importance of reusing the available resource of micro energy using different resources like energy harvesting on the road surface, vibration, airflow, radio frequency and thermal energy etc. were discussed. Lastly, the study focus does not only review but also finds the potential and opportunities for the researchers in the future to utilize the renewable energy resources.

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“…The reason for this is that power losses may be caused by reasons other than the wakes of other turbines. Reference [35] shows that empirically observed productivity losses are often rooted in various kinds of turbine errors, such as icing or maintenance. Since it is difficult to disentangle these effects without detailed information on the error status of turbines, we decided to derive power losses by inserting observed (or estimated) wind velocities into the turbine's power curve (cf.…”

Section: Methodsmentioning

confidence: 99%

Neighborhood Effects in Wind Farm Performance: A Regression Approach

2017

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Abstract:The optimization of turbine density in wind farms entails a trade-off between the usage of scarce, expensive land and power losses through turbine wake effects. A quantification and prediction of the wake effect, however, is challenging because of the complex aerodynamic nature of the interdependencies of turbines. In this paper, we propose a parsimonious data driven regression wake model that can be used to predict production losses of existing and potential wind farms. Motivated by simple engineering wake models, the predicting variables are wind speed, the turbine alignment angle, and distance. By utilizing data from two wind farms in Germany, we show that our models can compete with the standard Jensen model in predicting wake effect losses. A scenario analysis reveals that a distance between turbines can be reduced by up to three times the rotor size, without entailing substantial production losses. In contrast, an unfavorable configuration of turbines with respect to the main wind direction can result in production losses that are much higher than in an optimal case.

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Efficiency of wind power production and its determinants

Cited by 25 publications

References 12 publications

A production economics analysis for quantifying the efficiency of wind turbines

A production economics analysis for quantifying the efficiency of wind turbines

State of the Art Compendium of Macro and Micro Energies

Neighborhood Effects in Wind Farm Performance: A Regression Approach

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