In this thesis work, electricty generation modeling of the wind energy -one type of the
renewable energy sources- is studied. The wind energy characteristics and the distribution of
wind speed in a specific region is also examined. In addition, the power curves of the wind
turbines are introduced and the relationship between the wind speed and wind power is
explained. The generation characteristics of the wind turbines from various types of
producers are also investigated. In this study, the main wind power forecasting methods are
presented and the advantages and disadvantages of the methods are analyzed. The physical
approaches, statistical methods and the Artificial Neural Network (ANN) methods are
introduced. The parameters that affect the capacity factor, the total energy generation and the
payback period are examined. In addition, the wind turbine models and their effect on the
total energy generation with different wind data from various sites are explained. As a part
of this study, a MATLAB-based software about wind speed and energy modelling and
payback period calculation has been developed. In order to simplify the calculation process,
a Graphical User Interface (GUI) has been designed. In addition, a simple wind energy
persistence model for wind power plant operator in the intra-day market has been developed.
| Identifer | oai:union.ndltd.org:METU/oai:etd.lib.metu.edu.tr:http://etd.lib.metu.edu.tr/upload/12614930/index.pdf |
| Date | 01 September 2012 |
| Creators | Alisar, Ibrahim |
| Contributors | Sevaioglu, Osman |
| Publisher | METU |
| Source Sets | Middle East Technical Univ. |
| Language | English |
| Detected Language | English |
| Type | M.S. Thesis |
| Format | text/pdf |
| Rights | To liberate the content for METU campus |
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