Dalga enerjisi tahmini ve stokastik modelleme
Wave energy prediction and stochastic modeling
- Tez No: 223693
- Danışmanlar: PROF.DR. ZEKAİ ŞEN
- Tez Türü: Doktora
- Konular: İnşaat Mühendisliği, Civil Engineering
- Anahtar Kelimeler: Backward facing step, Experimental study, Hot-wire anemometry, Wave energy, significant wave height, wave period, Kriging, geostatistics, optimum interpolation, prediction
- Yıl: 2007
- Dil: Türkçe
- Üniversite: İstanbul Teknik Üniversitesi
- Enstitü: Fen Bilimleri Enstitüsü
- Ana Bilim Dalı: İnşaat Mühendisliği Ana Bilim Dalı
- Bilim Dalı: Hidrolik ve Su Kaynakları Mühendisliği Bilim Dalı
- Sayfa Sayısı: 110
Özet
The objective of this study is to investigate experimentally the backward facing step flow and flow separation. Different geometries of the same family of steps with common general dimensions were used. The mean velocity, turbulence intensity profiles and shear stress values on the upstream and downstream of the step models are measured by using hot-wire anemometer. Surface pressure distributions along step surfaces were measured by using pressure taps drilled on the surface. The surface oil-film technique was used to visualize the streamlines and flow direction on the surface. Reattachment lengths for all the model were recorded. Results of the present study is compared with the literature and some conclusions are given.
Özet (Çeviri)
Wave energy as clean energy resource has gained attention of researchers nowadays. The purpose of this thesis is to investigate wave characteristics and reliability as renewable energy recourses. In the determination of wave energy converter efficiency, the correct prediction of wave characteristics such as wave height and wave period is required, so as to calculate existing wave power. These two variables take values depending on fetch length, wind blowing duration and wind speed. There are plenty of approaches to predict wave height and period from constant wind speed which blows over a certain fetch length and given duration. Here, first time significant wave height and wave period were predicted from wind speed, fetch length and blowing duration by using triple diagram method. Then wave energy amounts were obtained from predicted wave characteristics. The results were compared with classical JONSWAP formulations. It was shown by numerical and graphical criteria that the proposed method outperforms the classical approach. Moreover, return period and risk of produced energy amount was determined according to various truncation levels. It is apparent that these analyses vary whether the serial dependence exists or not. The return periods and risk analysis were achieved separately for dependent and independent situations by using autorun analysis and the results were compared to each other.
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