An investigation on wind energy potential and small scale wind turbine performance at Incek region - Ankara, Turkey

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Date

2015

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Publisher

Pergamon-elsevier Science Ltd

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Organizational Unit
Energy Systems Engineering
(2009)
The Department of Energy Systems Engineering admitted its first students and started education in the academic year of 2009-2010 under Atılım University School of Engineering. In this Department, all kinds of energy are presented in modules (conventional energy, renewable energy, hydrogen energy, bio-energy, nuclear energy, energy planning and management) from their detection, production and procession; to their transfer and distribution. A need is to arise for a surge of energy systems engineers to ensure energy supply security and solve environmental issues as the most important problems of the fifty years to come. In addition, Energy Systems Engineering is becoming among the most important professions required in our country and worldwide, especially within the framework of the European Union harmonization process, and within the free market economy.

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Abstract

Renewable energy resources increased their importance in the last decades due to environmental pollution problems. Additionally, the fact that fossil fuels such as oil, coal, and natural gas will be depleted in near future encourages researchers to make investigations on alternative energy resources. Wind energy, which is one of the most used alternative resources, has a great potential. In this study, Weibull parameters at Incek region of Ankara (the capital city of Turkey), where /intim University campus is located, were determined for four different seasons and for twelve months in order to accomplish wind speed characterization at the region. Wind speed data at 20 m and 30 m heights were collected from. a measurement station installed at Atilim University campus area. The data were taken as 1 min average values for a one year period between June 2012 and June 2013. Hourly average wind speed values for each height were derived using the collected wind data. Weibull parameters were calculated with five different methods using the derived hourly average wind speed values. According to root mean square error analyses, the best methods for which Weibull distribution fits the actual wind data were determined as power density and empirical methods. The power and energy density values for the region were also calculated for each season and each month. It was revealed that the maximum power density is encountered in March with about 98 (W/m(2)). Since this power density indicates that large scale wind turbine use is not a good option at the region, the performances of three different small scale wind turbines were evaluated. According to the results, two of the investigated wind turbines were found to be capable to generate all yearly energy need of an average household in Turkey. (C) 2015 Elsevier Ltd. All rights reserved.

Description

DEVRIM, YILSER/0000-0001-8430-0702; BILIR, LEVENT/0000-0002-8227-6267; imir, Mehmet/0000-0002-2599-7412

Keywords

Wind energy, Wind speed characterization, Weibull parameters, Small scale wind turbine

Turkish CoHE Thesis Center URL

Citation

85

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Q1

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Source

Volume

103

Issue

Start Page

910

End Page

923

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