Wind energy potential of Gökçeada Island in Turkey

Eskin, Nurdil; Artar, H.; Tolun, Süleyman

doi:10.1016/j.rser.2006.05.016

Cited by 114 publications

(35 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Several researchers used the two-parameter Weibull distribution to fit wind speed frequency distributions (Elliott et al, 1987;Schwartz and Elliot, 2001;Dorvlo, 2002;Lun and Lam, 2000;Pavia and O'Brien, 1986;Chang et al, 2003;Ucar and Balo, 2009;Pryor and Barthelmie, 2010;Zaharim et al, 2009;Eskin et al, 2008).…”

Section: Implications Of Weibull Distributionmentioning

confidence: 99%

Characterization of wind power resource in the United States

Gunturu

Schlosser

2012

Atmos. Chem. Phys.

View full text Add to dashboard Cite

Abstract. Wind resource in the continental and offshore United States has been reconstructed and characterized using metrics that describe, apart from abundance, its availability, persistence and intermittency. The Modern Era Retrospective-Analysis for Research and Applications (MERRA) boundary layer flux data has been used to construct wind profile at 50 m, 80 m, 100 m, 120 m turbine hub heights. The wind power density (WPD) estimates at 50 m are qualitatively similar to those in the US wind atlas developed by the National Renewable Energy Laboratory (NREL), but quantitatively a class less in some regions, but are within the limits of uncertainty. The wind speeds at 80 m were quantitatively and qualitatively close to the NREL wind map. The possible reasons for overestimation by NREL have been discussed. For long tailed distributions like those of the WPD, the mean is an overestimation and median is suggested for summary representation of the wind resource.The impact of raising the wind turbine hub height on metrics of abundance, persistence, variability and intermittency is analyzed. There is a general increase in availability and abundance of wind resource but there is an increase in intermittency in terms of level crossing rate in low resource regions.

show abstract

Section: Implications Of Weibull Distributionmentioning

confidence: 99%

Characterization of wind power resource in the United States

Gunturu

Schlosser

2012

Atmos. Chem. Phys.

View full text Add to dashboard Cite

show abstract

“…In practice, a real set which represents the notes of forty-eight students in Mathematics in the final examination of the Indian Institute of Technology, in year 2003 was receipted [7]. Accordingly, the estimated parameters using a maximum likelihood of two-parameter Rayleigh-Logarithmic (RL) distribution werep = 0.24andσ 2 = 372.…”

Section: Applicationmentioning

confidence: 99%

A new distribution model with two-parameter

Bugatekin¹

2017

ntmsci

View full text Add to dashboard Cite

This paper deals with a two-parameter new mix distribution called as RL (Rayleigh-Logarithmic) distribution with increasing failure rate. Firstly, probability density function, distribution function, r th moment, survival and hazard functions of this two-parameter RL distribution are examined. Then, estimation of parameters by using standard statistical techniques such as maximum likelihood method and entropy are given for the new mix model. In the application part, a real data set is receipted and when RL distribution compared with other distributions, this RL distribution is shown be a good competitor.

show abstract

“…where A is the area crossed by the wind flow, ρ is the air density, and V is the wind speed [32]. The electricity power produced by the PV array was calculated using the following equation:…”

Section: Climate Datamentioning

confidence: 99%

Optimal Hybrid Renewable Airport Power System: Empirical Study on Incheon International Airport, South Korea

2016

View full text Add to dashboard Cite

Abstract:In response to global energy problems (e.g., the oil crisis, the Fukushima accident, the Paris Agreement), the South Korean government has executed a strict renewable energy plan to decrease the country's dependence on fossil fuel. Public facilities, such as international airports, which use substantial amounts of electricity, are the most in need of government regulation. In this study, we attempt to determine the optimal hybrid electricity generation system for South Korea's largest airport: Incheon International Airport. In the analysis, we use three scenarios: the current load, 120% of the current load, and 140% of the current load, according to the plan to expand Incheon International Airport. According to the COE (cost of electricity) and the NPC (net present cost) of the result, it is economically feasible to completely cover the potential increase in the electric load with PV power. Government policy implications and limitations are discussed.

show abstract

Wind energy potential of Gökçeada Island in Turkey

Cited by 114 publications

References 11 publications

Characterization of wind power resource in the United States

Characterization of wind power resource in the United States

A new distribution model with two-parameter

Optimal Hybrid Renewable Airport Power System: Empirical Study on Incheon International Airport, South Korea

Contact Info

Product

Resources

About