Electrical Power Resources Survey Administration Research Articles

Wind Speed Prediction of Target Station from Reference Stations Data

The aim of the present study is to apply an artificial neural network method for daily, weekly, and monthly wind speed predictions in some parts of the Aegean and Marmara region of Turkey that demonstrate acceptable cross-correlations. The wind data taken with an interval of one hour were measured by the General Directorate of Electrical Power Resources Survey Administration at four different measuring stations, namely, Gökçeada, Foca, Gelibolu, and Bababurnu. The wind speeds of three different stations were used as input neurons, while the wind speed of the target station was used as an output neuron in the artificial neural network architecture. The results obtained with this model were compared with the measured data. Errors obtained in this model are within acceptable limits. Results show that the artificial neural network method can successfully predict the daily, weekly, and monthly wind speed of any target station using the measured data of surrounding stations.

Statistical Analysis of Wind Energy Density in the Western Region of Turkey

In this study, wind energy density in the western region of Turkey was investigated by using the Weibull and Rayleigh probability density functions, and the Wind Atlas Analysis and Application Program. The hourly wind speeds and directions collected by the General Directorate of Electrical Power Resources Survey Administration were used. The dominant wind direction, probability distribution, Weibull parameters, mean wind speed and power potential of all stations were determined by the Weibull and Rayleigh model, and the Wind Atlas Analysis and Application Program. The results obtained with these models were compared with the measured data. Finally, it was found that these regions have a reasonable wind power potential and they are suitable for the plantation of wind energy turbines, but Gökçeada and Gelibolu are the most promising and convenient sites for the production of the electricity from the wind power.

Wind Characteristics and Energy Potential in Belen-Hatay, Turkey

In this study, wind characteristics in the Belen-Hatay province situated in southern Turkey were investigated by using the Wind Atlas Analysis and Application Program (WAsP) for future wind power generation projects. Hourly wind speeds and directions between the years 2004 and 2005 were collected by the General Directorate of Electrical Power Resources Survey Administration (EIEI). Before the construction of the wind turbine generator in Belen-Hatay province, several fundamental properties of the site such as wind behavior, availability, continuity, and probability were carried out in order to provide the necessary information to the potential investors about cost and economical aspects of the planning wind energy project. The dominant wind directions, probability distributions, Weibull parameters, mean wind speeds, and power potentials were determined according to the wind directions, years, seasons, months, and hours of day, separately. Finally, at a 10 m height above ground level, mean wind speed and power potential of the site were found to be 7.0 m/s and 378 W/m2, respectively.

Investigation of Wind Energy Density in the Southern and Southwestern Region of Turkey

In this study, wind energy density in the southern and southwestern region of Turkey was investigated by using the Weibull and Rayleigh probability density functions, and the wind atlas analysis and application program (WAsP). Hourly wind speeds and directions collected by the General Directorate of Electrical Power Resources Survey Administration were used. Before the construction of the wind turbine generator in these locations, several fundamental properties of the site such as wind behavior, availability, continuity, and probability should be carried out in order to provide the necessary information to the potential investors about cost and economical aspects of planning the wind energy project. The dominant wind direction, probability distribution, Weibull parameters, mean wind speed and power potential of all stations were determined by the Weibull and Rayleigh models, and the WAsP program. The results obtained with these models were compared with the measured data. Finally, it is found that these regions have a reasonable wind power potential and they are suitable for planting wind energy turbines. However, Belen is the most promising and convenient site for production of electricity from wind power.

Development of energy efficiency and management implementation in the Turkish industrial sector

The importance of energy efficiency was first realized following the two oil crises of the 1970s. The world has trimmed its energy budget by utilizing higher efficiencies, while still growing economically, and has realized the importance of protecting the environment. The main objective of this paper is to investigate the development of industrial energy efficiency and management studies in Turkey up until August 2001. In Turkey, the demand for energy efficiency started in the 1980s. Planned energy conservation activities were first implemented in 1981 by the General Directorate of Electrical Power Resources Survey Administration (called EIE in Turkey). Since 1981, EIE has been conducting these activities. In the beginning of the year 1993, the National Energy Conservation Center (NECC) was established within the body of EIE. EIE/NECC investigated the nationwide potential for energy conservation. The study concluded that the Turkish industrial sector has an annual energy saving potential of approximately 30%. After this study, a regulation on industrial energy efficiency was issued in 1995, followed by two announcements related to designing energy management courses and performing energy audits in 1996 and 1998, respectively. By means of these regulations, the Turkish industrial sector has significantly accelerated efforts in implementing energy efficiency and management studies in the country.