Evaluation of wind energy investment interest and electricity generation cost analysis for Turkey

Akdağ, Seyit Ahmet; Güler, Önder

doi:10.1016/j.apenergy.2010.03.015

Cited by 96 publications

(33 citation statements)

References 31 publications

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“…Third, the cost reduction for wind power installations, due to the improvements in wind turbine technologies. 1,2,6,7 At the southeastern part of Europe there are still a lot to be done, so wind energy can make an important contribution to the regional energy supply and security. In Greece, the utilization of renewable energy sources, and wind energy in particular, can be described as a story of high expectations, intense initial entrepreneurial interest, delays in the start-up phase of projects and, sometimes, disappointments during the implementation procedure.…”

Section: Introductionmentioning

confidence: 99%

“…13,25 The most probable wind speed (V mp ) which represents the most frequent wind speed and wind speed carrying maximum energy (V max,E ) are two significant wind speeds for wind energy estimation. 1,26,27 These statistical characteristics are not directly connected to wind energy, but the efficiency of a wind turbine conversion system is closely related to these parameters and especially V max,E , which should be as close as possible to the rated wind speed of the system.…”

Section: Introductionmentioning

confidence: 99%

“…[1][2][3][4][5] Global wind power installations increased by 35.8 GW in 2010, 40 according to the Global Wind Energy Council. This brings total installed wind energy capacity up to 194.4 GW, a 22.5% increase on the 158.7 GW installed at the end of 2009.…”

Section: Introductionmentioning

confidence: 99%

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Wind power potential assessment for seven buoys data collection stations in Aegean Sea using Weibull distribution function

Bagiorgas

Mihalakakou

Rehman

et al. 2012

Journal of Renewable and Sustainable Energy

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This paper utilizes three hourly measured values of wind speed and direction from seven buoys data collection stations in Aegean Sea to study the wind speed and power characteristics applying the Weibull shape and scale parameters. Specifically, the site dependent, annual and monthly mean patterns of mean wind speed, Weibull parameters, frequency distribution, most probable wind speed, maximum energy carrying wind speed, wind power density and wind energy density characteristics have been studied. The Weibull distribution was found to represent the wind speed distribution with more than 90% accuracy in most of the cases. Slightly decreasing trends were observed in annual mean wind speed values at Lesvos and increasing at Mykonos. The mean values of wind speed, scale parameter, most probable wind speed, maximum energy carrying wind speed, wind power and wind energy density values showed higher values during winter time and lower in summer time. Mykonos was found to be the best site from wind power harnessing point of view. Moreover, the correlation between the percentages of times the wind speed was above cut-in-speed and the measured mean wind speed for the three selected sites and the correlation between the aforementioned percentages and the scale parameter c were examined and were found linear.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Wind power potential assessment for seven buoys data collection stations in Aegean Sea using Weibull distribution function

Bagiorgas

Mihalakakou

Rehman

et al. 2012

Journal of Renewable and Sustainable Energy

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show abstract

“…As a reference, the mean CF for wind power plants in Europe from 2003-2007 was measured to be 21% [59]. Because of technological improvements in the wind energy industry, this number is expected to have increased.…”

Section: Methodsmentioning

confidence: 99%

Levelized Cost of Energy Analysis of a Wind Power Generation System at Búrfell in Iceland

et al. 2015

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Wind energy harnessing is a new energy production alternative in Iceland. Current installed wind power in Iceland sums to 1.8 MW, which in contrast is 0.1% of the country's total electricity production. This article is dedicated to the exploration of the potential cost of wind energy production at Búrfell in the south of Iceland. A levelized cost of energy (LCOE) approach was applied to the estimation of the potential cost. Weibull simulation is used to simulate wind data for calculations. A confirmation of the power law is done by comparing real data to calculated values. A modified Weibull simulation is verified by comparing results with actual on-site test wind turbines. A wind farm of 99 MW is suggested for the site. Key results were the capacity factor (CF) at Búrfell being 38.15% on average and that the LCOE for wind energy was estimated as 0.087-0.088 USD/kWh (assuming 10% weighted average cost of capital (WACC)), which classifies Búrfell among the lowest LCOE sites for wind energy in Europe.

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“…Wind turbines, both large and small, produce electricity for utilities and home owners and remote villages. The number of installed wind energy plants is increasing every year and many nations have made plans to make large investments in wind energy in the near future [1].…”

Section: Introductionmentioning

confidence: 99%

An Assessment of Wind Energy Potential as a Power Generation Source in Helwan

Ghitas¹,

Abulwfa²,

Abdel-Hadi³

2016

JOCET

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Abstract-The wind is an inexhaustible resource that can provide significant quantities of energy to support a country's needs. In this paper, the statistical data of two years wind speed measurements of the Helwan city, Cairo, Egypt are used to find out the wind energy potential. The measurements were carried out by weather station installed above the new building of NRIAG at Helwan (Latitude = 29.5 o N, Longitude = 31.2 o E, Elevation=130 m). Also, other wind characteristics with the help of the meteorological data are assessed to evaluate of which at a height above ground level and in open area. The purpose of this study is to reveal that; the wind potential of this region is suitable for electric wind application in a large-scale or can be adequate for non-grid connected electrical and mechanical applications, such as wind generators for local consumption, battery charging, water pumping, and other utilities.Index Terms-Wind energy potential, wind power density, wind speed, wind turbine, Helwan.

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Evaluation of wind energy investment interest and electricity generation cost analysis for Turkey

Cited by 96 publications

References 31 publications

Wind power potential assessment for seven buoys data collection stations in Aegean Sea using Weibull distribution function

Wind power potential assessment for seven buoys data collection stations in Aegean Sea using Weibull distribution function

Levelized Cost of Energy Analysis of a Wind Power Generation System at Búrfell in Iceland

An Assessment of Wind Energy Potential as a Power Generation Source in Helwan

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