Celal Bayar University

About: Celal Bayar University is a education organization based out in Magnesia ad Sipylum, Turkey. It is known for research contribution in the topics: Population & Heat transfer. The organization has 2960 authors who have published 6024 publications receiving 100646 citations.

An adaptive neuro-fuzzy inference system approach for prediction of tip speed ratio in wind turbines

Abstract: This paper introduces an adaptive neuro-fuzzy inference system (ANFIS) model to predict the tip speed ratio (TSR) and the power factor of a wind turbine. This model is based on the parameters for LS-1 and NACA4415 profile types with 3 and 4 blades. In model development, profile type, blade number, Schmitz coefficient, end loss, profile type loss, and blade number loss were taken as input variables, while the TSR and power factor were taken as output variables. After a successful learning and training process, the proposed model produced reasonable mean errors. The results indicate that the errors of ANFIS models in predicting TSR and power factor are less than those of the ANN method.

Performance analysis of combined cycle power plants: A case study

Abstract: Nowadays the difference between the supply and demand of energy continuously rises. Thus finding new energy resources and also using present resources more efficiently are the key concepts of the new century. One of the ways to use energy resources more efficient is to produce electrical energy from combined cycle power plants. In order to maintain the efficient operating conditions of the plants, performing performance analysis is a requirement. In this study a performance analysis of an operating power plant is performed with actual operating data acquired from power plant control unit. The analysis is performed by using first and second law thermodynamics. Energy and exergy efficiencies of the each component of the power plant system are calculated and also parametric analysis is performed. After applying first law and second law of thermodynamics, energy and exergy efficiencies of the combined cycle power plant are found as 56% and 50.04% respectively and it is found that combustion chamber has the most exergy destruction rate among the system components. According to the calculation results, improvement and modification suggestions are presented.