Analytical methods for wind persistence: Their application in assessing the best site for a wind farm in the State of Veracruz, Mexico

Cancino-Solórzano, Yoreley; Gutiérrez-Trashorras, Antonio José; Bernat, Jorge Xiberta

doi:10.1016/j.renene.2010.05.008

Cited by 25 publications

(12 citation statements)

References 5 publications

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“…In Veracruz, a wind persistence analysis was presented to study wind conditions for power production. Five meteorological stations were used with a mean time of 1 h. The results indicated that wind conditions were suitable for wind power production [33]. A second study for the same state utilized seven meteorological stations and one anemometric tower to implement a statistical analysis of wind power potential in the region; the results agreed with those of the previous work [34].…”

Section: Wind Power Sector In Mexicosupporting

confidence: 70%

Techno-Economic Feasibility Study of Small Wind Turbines in the Valley of Mexico Metropolitan Area

et al. 2019

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The use of small wind turbines (SWTs) is an alternative energy strategy with increasing potential for satisfying in situ electrical demands and should be studied to promote social penetration. The Valley of Mexico Metropolitan Area (VMMA) has air pollution issues that need to be addressed. This has resulted in programs for monitoring atmospheric variables, such as wind speed. By selecting and using 3 years’ worth of available data, we developed a methodology to study the technical and economic feasibility of using SWTs in the VMMA. To this end, 28 SWT models were assessed at 18 locations to estimate annual energy production. In light of certain data characteristics, an adjustment to the power production was proposed for the specific case of using SWTs. Cash flow analysis and annualized net present value (ANPV) were used to determine economic feasibility for each location; furthermore, electric home feeds in the VMMA were considered to model local economic conditions. Similar wind conditions were observed within the VMMA; however, only two wind turbine and location models provided positive ANPV values. The extra annual benefit for each project was calculated by associating the cost per mitigation of CO2 emissions, which may provide an economic strategy for promoting the penetration of this technology.

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Section: Wind Power Sector In Mexicosupporting

confidence: 70%

Techno-Economic Feasibility Study of Small Wind Turbines in the Valley of Mexico Metropolitan Area

et al. 2019

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“…Statistical analysis of wind persistence is one of the most successful methods in the world to locate possible areas for wind farms. This parameter can be explained as a measure of the average duration of the wind speed within a given range of values for a particular region [15]. In this study the properties of persistence are evaluated from the methods of conditional probability, autocorrelation function, and speed duration curves, which are used satisfactorily by other authors in different regions of the world [13].…”

Section: Statistical Analysysmentioning

confidence: 99%

“…One way to characterize persistence is through the autocorrelation function, which is very useful for finding repetitive patterns within a time series. This statistical method determinates a value to compare series, beginning from the most important values of their respective correlograms, where the values are the autocorrelation coefficient of order 1 (r1) and the lag (k0) when the function passes through zero, the lag (km) for which the function reaches its first minimum [15].…”

Section: Auto-correlation Functionmentioning

confidence: 99%

“…In 2009, Koçak [14] posed an alternative to the models of persistence previously studied by him and arises the analysis of fluctuations without trend. In 2010, Yoreley-Cancino [15] studied the persistence of winds for the state of Veracruz, Mexico, using the function methods of autocorrelation, conditional probability and speed duration curves; concluding that the coast stations have greater persistence due to their geographical characteristics. In other studies, Cancino-Yoreley [16] conducted a study of the electrical demand capacity of the Mexican electricity sector, comparing the effect of different energy generation methods, implementing wind analysis and data collection for five meteorological stations and two anemometric stations in the state of Veracruz -Mexico.…”

Section: Introductionmentioning

confidence: 99%

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Study of wind persistence and density of wind power in La Guajira-Colombia

Martinez¹,

Ballesteros²,

Valencia³

et al. 2017

ces

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This paper presents the results of the analysis of persistence of wind speed from a statistical point of view applying the concepts of the autocorrelation function, conditional probability and wind duration curves for two weather stations. The name of the stations are Puerto Bolívar and Riohacha in the Department of La Guajira, Colombia. Initial data for the analysis is from historical hourly data provided by the IDEAM during the period 2006-2012. Additionally, monthly averages wind power density was calculated to estimate the power generated by future wind farms that could be installed in the Department of La Guajira. The obtained results for the three evaluated concepts indicate that the Puerto Bolívar, located on the northern coast of La Guajira is the most suitable place to generate energy with the wind. Even when the autocorrelation function, conditional probability and wind duration have same result under high wind potential at the location studied, a noticeable difference is observed between them, because of the correlation function and the wind duration curve are based on meteorological conditions, and the conditional probability depends on the truncated speed established in order to determinate the "high wind" and "calm wind" two stages.

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“…The implementation of wind farms requires a number of preliminary studies to estimate the characteristics of the wind speed and wind energy potential. To find the ideal location for wind energy production both the magnitude and the persistence of wind speed have to be taken into account (Koçak 2008;Cancino-Solórzano et al 2010). Most studies are focused on selection of the best wind speed distribution function (Morgan et al 2011;Soulouknga et al 2018;Ouarda and Charron 2018;Ouarda et al 2015;Mazzeo 2019), while persistence properties of wind dynamics have been far less explored (Koçak 2008;koçak 2009;Cancino-Solórzano et al 2010;Santos et.…”

Section: -Introductionmentioning

confidence: 99%

Wind speed persistence at the Fernando de Noronha archipelago, Brazil

Silva

Stošić

2021

Preprint

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The use of wind energy has been growing worldwide continuously over the last years due to global efforts to combat climate change. The modern turbines are becoming ever more cost effective, and are gaining features that aim to reduce further the impact on the environment, such as reducing noise or increasing the height. In this context, the current study investigates the persistence of wind in Fernando de Noronha archipelago, an important Brazilian ecological site, using hourly wind speed data at 100m height. To this end, data from Era5 reanalysis were used, as they present high resolution and good performance in estimating meteorological data, and two well-known methods were applied to quantify wind persistence: duration curve and conditional probability. In addition, a novel method is proposed regarding persistence probability of periods of viable energy generation. The results obtained show that Fernando de Noronha archipelago presents rather high wind persistence on a monthly scale, with considerably long intervals of wind speed useful for wind power generation.

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Analytical methods for wind persistence: Their application in assessing the best site for a wind farm in the State of Veracruz, Mexico

Cited by 25 publications

References 5 publications

Techno-Economic Feasibility Study of Small Wind Turbines in the Valley of Mexico Metropolitan Area

Techno-Economic Feasibility Study of Small Wind Turbines in the Valley of Mexico Metropolitan Area

Study of wind persistence and density of wind power in La Guajira-Colombia

Wind speed persistence at the Fernando de Noronha archipelago, Brazil

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