Bülent Oral

Modeling of dimmable High Power LED illumination distribution using ANFIS on the isolated area

High power light emitting diodes (HP-LEDs) are more suitable for energy saving applications and have becoming replacing traditional fluorescent and incandescent bulbs for its energy efficient. Therefore, HP-LED lighting has been regarded in the next-generation lighting. In this study, illumination distribution of white color HP-LED is modeled by adaptive neuro-fuzzy inference system (ANFIS) approach on the isolated area while LED head is fixed. Subtractive clustering with hybrid learning approach is used to train the realized ANFIS architectures. End of the numerous experiment we finally concluded that, ANFIS could be used to modeling the illumination distribution applications perfectly.

Modeling of high power LED illumination distribution using ANN

High power light emitting diodes (HP-LEDs) are more suitable for energy saving applications and have becoming replacing traditional fluorescent and incandescent bulbs for its energy efficient. Therefore, HP-LED lighting has been regarded in the next-generation lighting. In this study, illumination distribution of white color HP-LED was examined and modeled by artificial neural network (ANN) to use at the different lighting applications. Illuminance measurements were done at different distances and voltage levels in the isolated test room. The obtained data was used to model the HP-LED illuminance distribution by ANN. As the realized ANN model, it was presented illumination distribution graphs. Matlabs neural network tool box was used for the simulations.

The Training of Renewable Energy Systems: Undergraduate Studies

As in all over the world, interest in usage of renewable energy sources has increased in Turkey. Due to intersection of universities leadership on the research and the technology field with the renewable energies innovative feature, it is convenient to provide these provide renewable energy trainings in higher education. To provide practical training to have qualified personnel, new laboratories are required to be established in this field. Therefore, it is becoming extremely important to provide practical training in the field of renewable energy at undergraduate and postgraduate level in universities. In this study, practical working example is provided the scope of has been established in technical equipment of the renewable energy laboratory within Marmara University Faculty of Technology Electric Electronic Engineering Department. This study intends to provide guidance to further studies in renewable energy education.

Analysis of disturbances in large power systems: Case study of the 1999 Marmara Earthquake

The earthquake, occurred on August 17, 1999 at 03:02 a.m. affected the northwest of Turkey. The region is very important for the Turkish Economy both in terms of production and consumption capacities. Failure occurred in the Marmara Region due to damage caused by the earthquake to the substations and power transmission lines located in the hardest-hit areas that affected the Turkish Power System as well a blackout was experienced throughout the country except those isolated fed areas. In this paper, analysis of disturbances on Turkish power system is simulated by MATLAB after the Marmara Earthquake. Voltage and frequency profiles of the region are shown in graphics.