Isparta rose is an agricultural product that provides world-wide awareness to our country, offering social and cultural aspects and touristic and economic contributions. Turkey and Bulgaria are two major countries that produce rose for economic return. Isparta rose (rose damascena) is a therapeutic fragrant flower used in aromatherapy applications besides oil production. The aim of this study is to determine the energy and cost analysis of drying of rose (Rosa damascena). Additionally, the energy consumption and unit cost of screening and separation was determined. Experiments were carried out in the Yakaören Rose Oil Factory of Gülbirlik, which was established in the village of Yakaören in the center of Isparta province. Temperatures of 45oC and 55oC were chosen as drying temperature in the experiment. According to the results of the research, work capacity for temperatures of 45°C and 55°C were 0.32 kgh-1 and 0.63 kgh-1, respectively. Specific energy consumption (SEC) for the same temperatures were 2.48 kWhkg-1 and 8.96 kWhkg-1, respectively. Specific moisture extraction rates (SMER) were found to be 0.402 and 0.112 kgkWh-1. The unit drying cost was for the two drying temperatures of 45 oC and 55 °C are 0.51 and 1.84 Turkish liras (TL), respectively. As a result; ...
Drying of sultana grape fruits was studied using a microwave dryer under the laboratory environment at the Department of Agricultural Machinery and Technologies Engineering at Suleyman Demirel University. In this study, the effects of microwave drying and fan assisted microwave drying on drying time, drying ratio of grape samples were examined. Sultana grape fruits were dried by using microwave, microwave-convective combination and convective drying, respectively. The effects of microwave drying (180, 540 and 720 W); combined convective and microwave drying (180W-100ºC, 360W-100ºC and 540 W-100ºC), convective drying (100, 150, 200ºC) on drying time, drying rate of grape samples have been investigated. The drying data were applied to four different mathematical models, namely, Midilli-Kucuk, Weibull distribution, logistic and Alıbas Equation Models. The performances of these models were compared according to the coefficient of determination (R2), standard error of estimate (SEE) and residual sum of squares (RSS), between the observed and predicted moisture ratios. The drying characteristic curves were estimated against four mathematical models and the Weibull distribution was found to be the best descriptive model for all the drying experiments of thin layer grape fruit samples except for 540W-100ºC. Alıbas model equation was also found to be the best descriptive model ...
