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Öğe A review on alternative hydropower production methods(Batman Üniversitesi, 2018-09-18) Muratoğlu, AbdullahIncreasing energy prices, exponentially growing power need and detrimental effects of conventional fossil fuel consumption has lead scientists and engineers to find alternative and clean ways of energy production. Hydropower is one of the clean and renewable energy extraction methods providing very high potential of energy with considerably high predictability. Conventional hydroelectric plants (HEPP) are quite old technique of energy production covering about one fifth of electricity need of the world. Hydroelectric energy is site specific and most of the suitable locations for HEPPs are already exploited. Also the conventional technology have high amount of civil works together with serious environmental impacts. In this study, both conventional and alternative hydropower production methods were reviewed with special emphasize on modern technology and processes. Run-of-river hydropower production schemes, tidal energy and other in-stream energy conversion systems, wave energy technologies, ocean thermal and osmotic power stations were analyzed. The methodology and device mechanisms were investigated.Öğe Estimating the long term average flow rates of tigris basin using machine learning methods(Batman Üniversitesi, 2016) Muratoğlu, Abdullah; Yüce, Mehmet İshakThe discharge of a river is one of the most important parameters of the hydraulic and hydrological studies such as hydropower production, canal design, irrigation, basin management. Each basin has different climate and geological characteristics which influence the regional infiltration capacity and runoff. The aim of this study is to estimate the average annual flow rates of ungauged locations on the Tigris River Basin. In total, eleven machine learning methods were applied to the long-term average annual discharge and the drainage area data of 34 flow measurement stations (FMS). Among all methods employed here, the conventional regression analysis was found to be the most successful test with a correlation coefficient (R 2 value) of 0.96. The equation of the best fitted linear line represents the relationship between the drainage area and the discharge. The results of this study are expected to enable the prediction of the average annual flow rate of any sub-basin of the Tigris River.
