An assessment on seasonal analysis of wind energy characteristics and wind turbine characteristics

This paper presents seasonal variations of the wind characteristics and wind turbine characteristics in the regions around Elazig, namely Maden, Agin and Keban. Mean wind speed data in measured hourly time series format is statistically analyzed for the six year period 1998–2003. The probability density distributions are derived from the time series data and their distributional parameters are identified. Two probability density functions are fitted to the measured probability distributions on a seasonal basis. The wind energy characteristics of all the regions is studied based on the Weibull and Rayleigh distributions. Energy calculations and capacity factors for the wind turbine characteristics were determined for wind machines of different sizes between 300 and 2300 kW. It was found that Maden is the best region, among the regions analyzed, for wind characteristics and wind turbine characteristics

Thermodynamic analysis of strawberry drying process in a cyclone type dryer

152-161In this paper, thermodynamic analysis of the thin layer drying process of strawberry are investigated. Drying experiments were conducted at inlet drying air temperatures of 60, 75 and 85°C and at drying air velocities of 0.5, 1 and 1.5 m s⁻¹ in a cyclone type dryer. Using the First Law of Thermodynamics, energy analysis was carried to estimate the ratios of energy utilization. However, exergy analysis was accomplished to determine type and magnitude of exergy losses during the drying process by applying the Second Law of Thermodynamics. Strawberry samples were sufficiently dried between 60-85°C at 0.5, 1 and 1.5 m s⁻¹ of drying air velocity during 12000-33600 sec despite the exergy losses of 0-0.715 kJ s⁻¹

Modelling of thin layer drying kinetics of sour cherry in a solar dryer and under open sun

764-771Drying kinetics of sour cheery is investigated in solar dryer with forced convection and under open Sun with natural convection. Drying data were fitted to different mathematical models, whose performance was investigated by comparing coefficient (R), reduced chi-square (Dz) and root mean square error (RMSE) between the observed and predicted moisture ratios. Among these models, drying model developed by Midilli and Kucuk model showed good agreement with the data obtained from the experiments in the solar dryer with forced convection drying mode. Logarithmic model has shown a better fit to the experimental sour cherries data for open sun drying with natural convection mode than the other models