A techno-economic analysis of a real wind farm repowering experience: The Malpica case

Villena-Ruiz, Raquel; Ramírez, F. Javier; Honrubia-Escribano, A.; Gómez‐Lázaro, Emilio

doi:10.1016/j.enconman.2018.07.024

Cited by 63 publications

(29 citation statements)

References 35 publications

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“…Other studies have reported an increase in capacity factor by 10 percentage points . Interestingly, research based on actual wind farm repowering cases found that while maintaining the same rated power, electricity production was doubled …”

Section: Background—repowering Wind Turbinesmentioning

confidence: 99%

“…14 Interestingly, research based on actual wind farm repowering cases found that while maintaining the same rated power, electricity production was doubled. 19 FIGURE 1 Age distribution of wind fleet in selected countries. Sources: Global Wind Statistics, 29 Wind in Power 2017, 30 and JRC Wind Energy Database 31 [Colour figure can be viewed at wileyonlinelibrary.com]…”

Section: Background-repowering Wind Turbinesmentioning

confidence: 99%

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Technology effects in repowering wind turbines

2019

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This research investigates, analyses, and quantifies the technological effects of wind turbine repowering (ie, where old turbines are removed and new turbines are installed at the same or a very close location, including the enhanced performance in energy production). In these cases, it is assumed that both old and new turbines are subject to the same wind regime, other than because of technological elements, such as hub height, and thus it is possible to isolate the effects of new technology from the effect of changing local wind conditions. This research is based on the analysis of empirical data on repowering turbines in Denmark and Germany, and on historical production data available for the Danish component of the data set. Technological innovations are expected to enable new wind turbines to capture more energy at the repowering site, mostly through larger rotors and higher hub heights, and this is what this study has analysed. The results show that new turbines in repowering projects are twice as high, have three times the rotor diameter, nine times the swept area, six times the nominal power, and nine times as much electricity as the old turbines. However, the most significant improvement is probably the increase of capacity factor of 7.1% on a per-turbine basis, or 9.7% on a per-production basis.

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Section: Background—repowering Wind Turbinesmentioning

confidence: 99%

Section: Background-repowering Wind Turbinesmentioning

confidence: 99%

Technology effects in repowering wind turbines

2019

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“…Usually, daytime variations follow the one-seventh rule of thumb (1/7 power law), which predicts a proportional increase in wind speed to the 7th root of altitude. The power-law model is generally used to characterize the effect of roughness of the earth's surface on wind speed, which is expressed as [38,39]…”

Section: Wind Shear and Wind Indicatorsmentioning

confidence: 99%

“…where V and V o represent the wind velocities at the respective heights H and H o , respectively, and α is the friction coefficient, called wind shear exponent, which is given as [38,40]…”

Section: Wind Shear and Wind Indicatorsmentioning

confidence: 99%

Evaluation of Wind Energy Potential Using an Optimum Approach based on Maximum Distance Metric

et al. 2020

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The integration of wind power as an alternative energy source has gotten much attention globally. In this paper, the Weibull distribution model based on different artificial intelligent algorithms and numerical methods is used to evaluate the wind profile. The application of Weibull distribution in wind data assessment can be extensively found, but the methods applied for estimating the parameters still need improvement. Three artificial intelligent algorithms are presented as an alternative method for estimation of Weibull parameters, and an objective function is proposed through the concept of maximum distance metric. Its convergence was proven mathematically through its boundedness for all wind data types. The optimization methods based on the proposed objective function are compared with the conventional numerical approaches for Weibull parameter estimation. Two-year wind data from the site in the southern area of Pakistan has been used to conduct this analysis. Furthermore, this work provides an eloquent way for the selection of a suitable area, evaluation of parameters, and appropriate wind turbine models through real-time data for power production.

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“…As the first step of design process of wind turbines, the conception design defines the most important parameters, of which the optimizations have been proven to be highly efficient in minimizing the COE [23][24][25][26][27]. The dominant ingredient of designing a satisfactory turbine with low COE includes the suitable physical and operational parameters, which are determined by the wind conditions on the erected site of the turbines, but there have been very few studies conducted.…”

Section: Introductionmentioning

confidence: 99%

Optimal Design of Rated Wind Speed and Rotor Radius to Minimizing the Cost of Energy for Offshore Wind Turbines

et al. 2018

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As onshore wind energy has depleted, the utilization of offshore wind energy has gradually played an important role in globally meeting growing green energy demands. However, the cost of energy (COE) for offshore wind energy is very high compared to the onshore one. To minimize the COE, implementing optimal design of offshore turbines is an effective way, but the relevant studies are lacking. This study proposes a method to minimize the COE of offshore wind turbines, in which two design parameters, including the rated wind speed and rotor radius are optimally designed. Through this study, the relation among the COE and the two design parameters is explored. To this end, based on the power-coefficient power curve model, the annual energy production (AEP) model is designed as a function of the rated wind speed and the Weibull distribution parameters. On the other hand, the detailed cost model of offshore turbines developed by the National Renewable Energy Laboratory is formulated as a function of the rated wind speed and the rotor radius. Then, the COE is formulated as the ratio of the total cost and the AEP. Following that, an iterative method is proposed to search the minimal COE which corresponds to the optimal rated wind speed and rotor radius. Finally, the proposed method has been applied to the wind classes of USA, and some useful findings have been obtained.

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A techno-economic analysis of a real wind farm repowering experience: The Malpica case

Cited by 63 publications

References 35 publications

Technology effects in repowering wind turbines

Technology effects in repowering wind turbines

Evaluation of Wind Energy Potential Using an Optimum Approach based on Maximum Distance Metric

Optimal Design of Rated Wind Speed and Rotor Radius to Minimizing the Cost of Energy for Offshore Wind Turbines

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