Master Degree / Yüksek Lisans Tezleri
Permanent URI for this collectionhttps://hdl.handle.net/11147/3008
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Master Thesis Atmospheric Effects on Short Term Wind Power Forecasting(01. Izmir Institute of Technology, 2021) Kalay, Yüksel; Bingöl, Ferhat; Bingöl, Ferhat; Bingöl, Ferhat; 01. Izmir Institute of Technology; 03.06. Department of Energy Systems Engineering; 03. Faculty of EngineeringWind power all over the world are being popularizing unlike decrease in conventional sources due to environmental issues. However, power acquired from wind is not stable during day and night, which means that intermittent due to nature of the source. Forecasting in wind power plant is very challenging compared to forecasting of production of conventional power plant. Although there are many robust and site-specific models in order to forecast wind power accurately, decrease of deviation in wind power forecasting by using statistical, physical and hybrid models is still open to new approaches. In this study, four different forecast models based numerical weather prediction (NWP) models for three different wind farms which have different atmospheric conditions are examined to improve wind farm-based power forecasting. For this purpose, wind power forecasting of the providers was categorized based on atmospheric effects, which are site temperature and turbulence. Results have been compared with real time power production from wind turbine supervisory control and data acquisition (SCADA) system. Afterwards, new method based on selecting best provider for specific condition was developed by considering atmospheric effects on power forecasting. It should be noted that the method is an engineering approach, not a new forecast model. In many cases, newly developed method has succeeded to outperform in comparison to results belonging to forecast providers. Hourly and daily wind power forecasting that have significant role in electricity market has been improved for selected wind farms by the help of an engineering approach used in this study. Same method is also implementable to another wind farm if required inputs exist.Master Thesis Optimization of a Hybrid Combination of a Photovoltaic Syste and a Wind Energy Conversion System: Izmir Institute of Technology Campus Area Case(Izmir Institute of Technology, 2003) Ekren, Orhan; Özerdem, Barış; Özerdem, Mehmet Barış; 03.10. Department of Mechanical Engineering; 03. Faculty of Engineering; 01. Izmir Institute of TechnologyRenewable energy resources have gained the great importance due to the growing concerns of environmental problems. The integrated utilization of renewable energies such assolar and wind are becoming very attractive, especially, in most of the isolated and remote areas in many parts of the world.In the present study, firstly, wind and solar radiation measurements, made on Izmir Institute of Technology (IZTECH) Campus area, have been analyzed in order to determine the, both, solar and wind energy potentials of the location. The monthly average wind speeds range from 5.7 m/s to 7.7 m/s, the monthly average of daily values of solar radiation range from 2.1 kWh/m2 to 5.7 kWh/m2 at the monitoring station throughout the measurement period of 12 months between 01.01.2002 and 31.12.2002.Secondly, a procedure is described which determines the hybrid system parameters such as photovoltaic (PV) array area and rotor swept area of wind turbine while satisfying a specific load distribution. The employed method is a graphical construction to figure out the optimum configuration of the generators that satisfies the energy demand mentioned above.Master Thesis Wind Resource Assessment on the Campus Area of Izmir Institute of Tecnology: Use of Multi Point Data Sources(Izmir Institute of Technology, 2010) Ünveren, Çağdaş; Özerdem, Barış; Özerdem, Mehmet Barış; 03.10. Department of Mechanical Engineering; 03. Faculty of Engineering; 01. Izmir Institute of TechnologyWind data which belong to the three different points on Izmir Institute of Technology campus area but has different time intervals have been used to evaluate the wind power potential on this area which has a complex terrain. The results showed that, this region has significant wind power potential and it is suitable for building a wind farm that has capacity factor over 42%. Mean wind speeds at station which has higher priority with 70 meters of height have been found 8.17 m/s at 50 m height and 8.63 m/s at 80 m height. The prevailing wind direction has also been found as north direction. WAsP and GH WindFarmer software have been used to evaluate the wind statistics and maximize the energy yield by taking into account of noise and visual constraints. Wind turbines which have 2500 kW nominal power have been microsited at the most efficient locations on the wind energy density map. Eighteen turbines with a total capacity of 45 MW were located on the selected sites. The estimated annual net energy productions of the wind turbines have been calculated as 167 GWh/year.