Tahir Cetin Akinci

Determination of Wind Energy Potential in Kirklareli-Turkey

Wind energy has become an important source that has begun to be used for energy in all over the world in recent years. In this study, by examining the wind potential of the western region of Turkey in detail, an analysis was made. The data were provided by the State Meteorology Affairs Kirklareli Office. In Kirklareli region, the energy produced on a 7.8 MW wind plant pattern constituted a model through ANFIS (Adaptive-Network Based Fuzzy Inference Systems). Then, with Wind Atlas Analysis and Application Program (WASP) and by counting the rates of capacity usage, wind energy potential was examined. In the light of the data obtained in the study, it has been determined that the method is quite successful and Kirklareli is suitable for wind plant investment.

Spectral Analysis for Current and Temperature Measurements in Power Cables

Abstract This research aims to detect spectral properties under thermal and current variations for power cables. Therefore, spectral diversities are exposed under current unbalances and different load conditions through the spectral analysis techniques. Also, huge load variations are easily detected from the current signals in the time-frequency plane using the short-time frequency analysis. Hence, this study presents the determination of the frequency characteristics and spectral similarities between the phase currents and thermal variations.

Effects of weather conditions on electromagnetic field parameters

This study presents the results of electromagnetic field parameters measurements in an open area under different air temperature and humidity conditions. An attempt to consider the electromagnetic wave as a holistic harmonic oscillation, which takes into account all frequency components of the field at the measurement point, was also presented in this study. During the measurements, the closest electromagnetic radiation sources were taken into account. Therefore, measurements of field parameters were produced in specific frequency bands. For the simplification of large data, the spectrum decimation technique was applied. As a result, measurements and data processing were revealed to characterize the electric field strength and the magnetic flux density when air temperature increases. The field parameters dependences on air relative humidity have a decreasing tender.

A study on the electromagnetic fields in wind mills farm area

This study presents the mathematical model of electromagnetic waveforms parameters which can be used for determination of the electromagnetic pollution level in windmills farm. The electromagnetic field parameters such as electric field intensity and magnetic field density were measured by EMF detectors on different frequencies ranges. The measured values for the waveform reconstruction in time domain were processed using Inverse Discrete Fourier Transform (IDFT). Obtained wave shape of electric field strength as well as magnetic flux density allowed defining the general of electromagnetic radiation level in chosen measurement point of windmills farms which includes all electromagnetic radiation values from all possible nearby sources. Also analysis of electromagnetic radiation impact for environment was considered. The measurement parameters were compared with the limit values.

System of power supply and oscillating pulse current synchronous drive in power network

There are a number of electrical drives with oscillatory driven mechanisms. As a result it is possible to use oscillating movement electrical drives there. These drives create ineligible reactive power, therefore it is required to provide conductors with the bigger cross-section, to design reactive energy storage devices. Reactive power is objectionable in electrical power network. Thus, in order to ensure the best work of oscillating drive the necessity for searching of reactive power reduction or its use methods occurs. The aim of the research is to examine pulsed power supply and oscillating movement pulse current synchronous drive system, in order to minimize the reactive power usage from power supply network and increase drive efficiency. To achieve this purpose pulse power supply and oscillating movement drive system mathematical model was designed, the influence of selected pulsed power supply to oscillating movement, drive performance indicators was determined as well.

Statistical and Continuous Wavelet Analysis of wind speed data in Mardin-Turkey

In this paper, wind speed measurements are considered for Mardin region in Turkey. Mardin city is situated in East part of Turkey. Mardin is a mountainous area suitable for wind. And also, its wind energy potential is at an acceptable level. Wind speed data in this study, is obtained from the national meteorology station. This real-time measured data is suitable to international criteria. This annual data is related to the measurements of 2011, from January 1, 2011 to December 31, 2011. There are two important aspects of the study. First one is related to calculation of the statistical parameters for wind speed data. Here four parameters of a statistical distribution are calculated. These are mean value, standard deviation, skewness and kurtosis. Last two parameters are used to determine the non-Gaussian (or Gaussian) characteristics. In this study, the skewness and kurtosis parameters are are calculated and compared. Parameters indicate asymmetrical and non-Gaussian characteristics. Hence the wind speed distribution is defined by Weibull distribution and its probability density function is shown for shape parameter and average speed of the wind. Thus the histogram and Weibull probability density function are calculated as well as the statistical findings. As a second aspect of the study, data is accepted as non-stationary. So its Continuous Wavelet Transform is used for the determination of the seasonal transitions and determined the time-frequency content. Thanks to the continuous wavelet transform, low and high frequency regions of wind speed data are distinguished. Continuous wavelet transform findings are quite satisfactory.

Spectral and Statistical Analysis for Ceramic Plate Specimens Subjected to Impact

In this study, ceramic plate behaviour was elaborated on the basis at sound signal variations caused by the impact. All tests were performed using plate specimens and pendulum testing station; with date acquisition and analysis systems. Two various methodologies such as; spectral and statistical were used. In the spectral analysis, power spectral densities were calculated for both virgin and cracked specimens with rage of frequency 0-33kHz. In the case of this frequency range was separated in to two repairs i.e. 0-28 kHz and 28-33 kHz. Differences in sound signals of virgin and cracked plate specimens were significant. The effect none related with cracked specimen spectral behaviour and it property can be interpreted as absorption of the vibrational effects in the cracked regions. An analysis of statistical results has shown a smaller value of skewness for virgin specimen than cracked one, case show smallest skewness value than the healthy cases skewness value.

Statistical analysis and Hurst parameter estimation for wind speed in Kirklareli area of Turkey

In this study, a wind speed data of the Kirklareli region of Turkey is considered and Hurst parameter is calculated for this data. For this purpose at first statistical parameters of the wind speed data are calculated. And, as a result of this analysis it is determined as a non-gaussian distribution. After that, it is shown as Weibull distribution and its statistical parameters are computed. The Hurst parameter is a special indicator to present the long range dependency and self-similarity. According to the results of this analysis, it can be determined as 0.256 and it is used as an indicator of long range dependency as well as its fractal dimension. In this manner, this is an original study to this field as well as the statistical analysis. As a one of the most important results, the finding of this study shows that the wind speed data has an autocorrelation function hyperbolically.