2 results listed
Intended to use of our country’s high wind energy
capacity studies with support under the Renewable Energy Law,
green energy investments continue. In this paper, based on this
law, a cost analysis simulation program, which calculates wind
energy costs according to selected location and turbine model,
was developed. This program help wind power plant’s both
economical and energy feasibility. In the part of financial
parameters, the developed tool calculate unit facility cost,
investment cost, capital expenditure, total and unit investment
cost, unit energy cost and unit operational and management cost.
In the power plant data part, installed power and yearly
produced amount of energy is obtained according to chosen
turbine model, region and turbine number.
1.st International Conference Energy Systems Engineering
ıcese'17
Kübra Nur Akpınar
Muammer Özdemir
Investment in renewable energy sources, an
alternative to reducing the use of fossil resources, is rapidly
increasing worldwide. Wind energy is one of the most used and
popular sources of green energy. Wind speed for investment in a
profitable wind power plant; area selection, system performance
and planning are important. Several methods such as statistical,
artificial neural network and fuzzy logic are used for predicting
wind speed.
In this study, wind speed estimation in MATLAB and
NeuroSolutions programs was made by artificial neural network
(ANN) method using 10-minute intervals wind data from
Ondokuz Mayıs University location and the results were
compared. The purposed wind speed prediction system uses 3
climate data which are temperature, humidity and pressure of
the place as input data. The output is hourly wind speed
prediction. The results of both programs are compared each
other via RMSE and MSE
1.st International Conference Energy Systems Engineering
ıcese'17
Kübra Nur Akpınar