A survey on the assessment of wind energy potential in Greece

Katsoulis, B. D.

doi:10.1007/bf00868895

Cited by 21 publications

(10 citation statements)

References 15 publications

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“…On the other hand, the sudden increase observed in July could be attributed to the Etesians, a local circulation system of strong winds affecting the Aegean Sea during the summer months. These observations agreed with the findings of [4,5]. However, a discrepancy, Table 1 Monthly distribution of the missing data.…”

Section: Mean Wind Speed and Wind Direction Analysissupporting

confidence: 89%

“…The reason for performing wind measurements at 10 m height was that according to [5,7], for climatological and practical reasons it has been agreed that this should be the standard meteorological reference level in order to achieve representative recording of the wind potential of the area. Furthermore, the wind speed at higher heights could be calculated using the power law.…”

Section: Wind Data Measurement Mastmentioning

confidence: 99%

“…The results of these works presented mainly an overview of the wind potential around Greece in general, and identified the high wind energy capacity existing over the Aegean Sea specifically. Nearly a decade later, Katsoulis [5] analysed the updated version (42 locations instead of 22) of Lalas et al [4] data, part of which was obtained from Naxos station. Kaldellis has performed an extensive research in the utilisation of the wind potential of the Aegean Sea [6,7].…”

Section: Introductionmentioning

confidence: 99%

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Wind energy potential assessment in Naxos Island, Greece

2010

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Section: Mean Wind Speed and Wind Direction Analysissupporting

confidence: 89%

Section: Wind Data Measurement Mastmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Wind energy potential assessment in Naxos Island, Greece

2010

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“…Broadly speaking, a hybrid system, consisting of wind and solar (photovoltaic) generators in combination with a battery storage option, can be used for the power supply of small electrical loads at remote locations [2]. Remote applications may include the supplying of electricity to desalination plants, gas stations, pipeline cathodic protection, telecommunication stations, alpine huts, or remote stations for data logging of environmental parameters, irrigation and water pumping, agribusiness operations, etc.…”

Section: Introductionmentioning

confidence: 99%

Assessment of wind energy potential in Gaza Strip

Alaydi¹

2010

Front. Energy Power Eng. China

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The analysis of collected wind data at two sites in the Gaza Strip, namely, Gaza City and Gaza International Airport in Rafah city, is presented. The two sites are candidates for remote area wind energy applications. The purpose of this paper is to present the results of the assessment of wind energy potential in the Gaza Strip in order to evaluate the wind regimes for installing wind energy conversion systems for power generation. The data on wind speed, direction and frequency distribution are used to analyze wind energy characteristics and availability at some stations in the Gaza Strip. The vertical extrapolation was based on the power-law expression, and the wind energy and potential have been estimated at the wind turbine hub height of approximately 50 m. Furthermore, the values of the Weibull parameters c and k are determined from summary statistics of wind resource. Consequently, the wind power is estimated by adoption of the Weibull distribution expression. Based on the results of this paper, sites are recommended for wind energy exploitation in the Gaza Strip.

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“…For example, wind data analysis was conducted for five coastal stations of Saudi Arabia [6]. Katsoulis [7] assessed wind energy potential in Greece. He found different wind power densities in different parts of the country.…”

Section: Introductionmentioning

confidence: 99%

Assessing wind energy potential in Kurdistan province, Iran

Asl

Banafsheh

Dinpashoh

et al. 2014

Int J Energy Environ Eng

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In this study, 3-h wind speed data for years 1987-2009 at 10, 20 and 40 m heights have been analyzed for Kurdistan province. Wind energy potential at five stations in this province was investigated. Six types of methods, namely, graphical, empirical, method of moment, energy pattern factor, maximum likelihood and probabilityweighted moments were used to estimate the parameters. The results showed that MOM was an efficient method among others in the present study because it had the lowest value of the Chi-square statistics. Also, wind speed for Tyear return period was estimated. In the annual time scale, the range of shape parameter, k, was between 0.78 and 1.03 whereas the range of the scale parameter, c, was between 1.84 and 4.37 m/s. Also, the most important characteristics of wind energy were evaluated. Among all the stations, Bijar and Zarineh Obato were found to be the best sites for wind energy harnessing. Bijar had the highest value of wind power density at 10 m height, which was equal to 308 W/m 2 . In average, the rank of stations according to 100 years return period was as: (1) Zarineh Obato, (2) Bijar, (3) Ghorveh, (4) Saghez and (5) Sanandaj.

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A survey on the assessment of wind energy potential in Greece

Cited by 21 publications

References 15 publications

Wind energy potential assessment in Naxos Island, Greece

Wind energy potential assessment in Naxos Island, Greece

Assessment of wind energy potential in Gaza Strip

Assessing wind energy potential in Kurdistan province, Iran

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