Wind energy potential estimation and micrositting on Izmir Institute of Technology Campus, Turkey

Özerdem, Barış; Turkeli, H.M.

doi:10.1016/j.renene.2004.11.010

Cited by 51 publications

(22 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…By converting both equality and inequality constraints into penalty terms, they can be added to form the penalty function as described in (1) and (2).…”

Section: Optimal Problem Formulationmentioning

confidence: 99%

See 1 more Smart Citation

Optimal Reactive Power for Voltage Stability in Distribution Systems Connected Wind Turbine Farm using Particle Swarm Optimization

Treekijjanon¹,

Srimongkol²,

Leeton³

et al. 2017

The Proceedings of the 5th International Conference on Industrial Application Engineering 2017

View full text Add to dashboard Cite

This paper illustrates optimal reactive power setting for voltage stability in power distribution system affected by wind turbine farm high terminal voltage using particle swarm optimization to inquire optimal solution. It involves the implementation of disturbance analyzing device to compare the result of setting reactive compensator. In this research, to optimize the overall voltage limitation, three decision variables were considered, which are i)active/reactive power generated from wind turbine farm plants, ii) specified voltage magnitude and all node limitation and iii) power factor control. Particle swarm optimization (PSO) is well-known and widely accepted as a potential intelligent search method for solving optimization problems ."WA-YU" wind turbine farm project rated 8.0 MW, 22kV of Provincial Electricity Authority (PEA) in Nakhon Ratchasima, Thailand at feeder ten was employed as a case study. Results showed that PSO can search optimal reactive power to solve power flow problems efficiently related the best power factor. The voltage limitation was controlled in ±5% range of nominal voltage (22 kV) based on PEA's regulation grid terms connected with a network of 2008. The controlled voltage provided a benefit which did not affect other power users connected in the same feeder circuit.

show abstract

“…By converting both equality and inequality constraints into penalty terms, they can be added to form the penalty function as described in (1) and (2).…”

Section: Optimal Problem Formulationmentioning

confidence: 99%

“…The renewable energy is cooperated and installed in distribution power systems to contain two or more power generation sources in order to balance each other's strengths and weaknesses (2) . There are many types of renewable energy sources such as the wind, solar, biomass, etc.…”

Section: Introductionmentioning

confidence: 99%

Optimal Reactive Power for Voltage Stability in Distribution Systems Connected Wind Turbine Farm using Particle Swarm Optimization

Treekijjanon¹,

Srimongkol²,

Leeton³

et al. 2017

The Proceedings of the 5th International Conference on Industrial Application Engineering 2017

View full text Add to dashboard Cite

show abstract

“…Ozerdem and Turkeli [17] studied to predicting the wind energy content over the campus area of Izmir Institute of Technology (46.5684 E, 42.43843 N). The wind data were collected at 10 and 30 m mast heights for a period of 16 months.…”

Section: Yearly Wind Characteristicsmentioning

confidence: 99%

Bati Anadolu Rüzgar Karakteri̇sti̇kleri̇ Üzeri̇ne Yapilan Çalişmalarin Değerlendi̇ri̇lmesi̇

Güngör

2016

Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi

View full text Add to dashboard Cite

Since the geography of Turkey provides appropriate meteorological conditions for the wind energy generation, it is inevitable to support the wind energy initiatives. In general, potential wind energy areas in Turkey lie in the northwestern and northern parts and at locations along the Aegean Sea coast. These regions are highly suitable for the wind energy generation, since the wind speeds exceed 3 m/s in most of these areas. So, due to the western part of Turkey are highly suitable for wind energy applications, most of researchers have focused mainly on these areas to calculate wind characteristics. This study is aimed to summarize the studies carried out on the parameters of the Weibull distribution function in western part of Turkey.Keywords: Wind characteristics; Weibull function; Wind energy, Wind data, Turkey, West Anatolia. BATI ANADOLU RÜZGAR KARAKTERĐSTĐKLERĐ ÜZERĐNE YAPILAN ÇALIŞMALARIN DEĞERLENDĐRĐLMESĐ ÖZETTürkiye coğrafik konumu nedeniyle farklı hava akımlarının etkisi altında kaldığından, rüzgar enerjisi potansiyeli oldukça yüksek olan bir ülkedir. Türkiye'de potansiyel rüzgar enerjisi alanları genel olarak, Batı Anadolu'nun kuzey, kuzeybatı kısımları ile Ege Denizi sahili boyunca uzanmaktadır. Bu bölgelerde rüzgar hızı çoğunlukla 3 m/s değerinin üzerinde olduğundan yüksek bir rüzgar enerji potansiyeline sahip olduğu anlaşılmaktadır. Bu nedenle pek çok araştırmacı, rüzgar enerjisi karakteristikleri çalışmalarında bu bölge üzerinde yoğunlaşmıştır. Bu çalışma, Batı Anadolu'da Weibull dağılım fonsiyonu üzerinde yapılan çalışmaları özetlemektedir.

show abstract

“…Given the power curve of the Repower MM8 e, the WASP program was used to estimate the actual yearly energy production at the three stations [17][18][19]. The yearly energy output, E out (kWh/year), for these stations is summarized in Table 5.…”

Section: Estimation Of the Energy Output From The Single Repower Mm82mentioning

confidence: 99%

Potential of Electricity Generation on the Western Coast of Mediterranean Sea in Egypt

Shata¹,

Abdelaty²,

Hanitsch³

2008

Latvian Journal of Physics and Technical Sciences

View full text Add to dashboard Cite

A technical and economic assessment has been made of the electricity generation by wind turbines located at three promising potential wind sites: Sidi Barrani, Mersa Matruh and El Dabaa in the extreme northwest of Egypt along the Mediterranean Sea. These contiguous stations along the coast have an annual mean wind speed greater than 5.0 m/s at a height of 10 m. Weibull's parameters and the power law coefficient for all seasons have been estimated and used to describe the distribution and behavior of seasonal winds at these stations. The annual values of wind potential at the heights of 70-100 m above the ground level were obtained by extrapolation of the 10 m data from the results of our previous work using the power law. The three stations have a high wind power density, ranging from 340-425 to 450-555 W/m 2 at the heights of 70-100 m, respectively. In this paper, an analysis of the cost per kWh of electricity generated by two different systems has been made: one using a relatively large single 2 MW wind turbine and the other -25 small wind turbines (80 kW, total 2 MW) arranged in a wind farm. The yearly energy output of each system at each site was determined, and the electricity generation costs in each case were also calculated and compared with those at using diesel oil, natural gas and photovoltaic systems furnished by the Egyptian Electricity Authority. The single 2 MW wind turbine was found to be more efficient than the wind farm. For all the three considered stations the electricity production cost was found to be less than 2 € cent/kWh, which is about half the specific cost of the wind farm.

show abstract

Wind energy potential estimation and micrositting on Izmir Institute of Technology Campus, Turkey

Cited by 51 publications

References 10 publications

Optimal Reactive Power for Voltage Stability in Distribution Systems Connected Wind Turbine Farm using Particle Swarm Optimization

Optimal Reactive Power for Voltage Stability in Distribution Systems Connected Wind Turbine Farm using Particle Swarm Optimization

Bati Anadolu Rüzgar Karakteri̇sti̇kleri̇ Üzeri̇ne Yapilan Çalişmalarin Değerlendi̇ri̇lmesi̇

Potential of Electricity Generation on the Western Coast of Mediterranean Sea in Egypt

Contact Info

Product

Resources

About