ÖZ
EVALUATION OF WIND ENERGY POTENTIAL IN HAVZA-SAMSUN, TURKEY ABSTRACTIn this study, the wind potential measurement of the defined region has been carried out by means of a wind tower installed in Havza-Samsun, Turkey. The analyzed wind data have been accumulated and registered from 2014 to 2015 dates in 10 min intervals through the tower of 80 m having three anemometers at 80 m, 78 m, and 57 m. Moreover, other air variables have been taken with the aid of temperature, humidity and pressure transmitters placed at 5 m and 6 m heights of the tower. According to the evaluations, the average wind speed at 80 m tower height has been calculated 4.9 m/s. Also, the average pressure value at 5 m tower height, the temperature value at 5 m tower height, and the humidity value at 6 m tower height have been defined 928.52 hPa, 12.61°C, and 72.14%, respectively. Depending on this data, the energy that can be produced is found in Watts/m 2 for heights of 30 m and 80 m. Finally, the dominant wind direction of the selected region has been determined as the North direction by means of two wind direction transmitters installed at 78 m and 28 m heights. According to the obtained values, it is determined that this selected area is not suitable for large wind turbine investments.
The demand for electrical energy in the world is increasing every year. Hydroelectric Power Plants (HPP) in electricity generation are method is very commonly used. Hydroelectric power plants are huge facilities and occupy large areas. Hydroelectric power plants have a lot of special control and commination systems. Along with the increasing number of hydroelectric power plants applications, the need for the education of those systems has been unavoidable in engineering education. Training hydroelectric power plants, especially theoretically continue in the field of engineering. This is a problem. In this study, a prototype has been developed. Improved Micro Hydroelectric Power Plants (MHPP) by analyzing the performance of the prototype, the model are validated.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.