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Optimization of Energy Consumption of Okra Slices in a Solar-assisted Electric Crop Dryer

机译:太阳能辅助电力烘干机中秋葵切片能耗优化

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Optimization of energy consumption of okra slices in a solar-assisted electric dryer was presented. Response surface methodology (RSM) was adopted to optimize the energy consumption of the drying process as well as the drying parameters: air velocity (1.0, 1.5 and 2.0 ms1), slice thickness (10, 15 and 20mm) and temperature (50, 60 and 70 °C). The central composite rotatable design of the Design Expert 7.0 statistical package was used for the three drying parameters. The energy consumed for drying each 1000 g batch of okra slices at varying parameters was measured and recorded by an arduino microprocessor. A second order polynomial model was found suitable for energy consumption response with high R~2 value of 0.9984. Statistical analyses were conducted to verify the suitability of the model. A predictive energy consumption model was developed and validated with the experimental data. The process parameters had significant effects on the energy consumption as well as its interaction effects. Results obtained showed that the maximum and minimum energy consumed in drying 1000 g batch of sliced okra were 33.94 and 1.02 kW-h, respectively. The mean energy consumption was found to decrease with temperature at constant air velocity and vice versa, as well as increasing with air velocity at constant temperature. The maximum energy consumption values were obtained at: 50 °Cand 1.0 ms~(-1); 20 mm and 50 °C; and 1.0 ms~(-1) and 20 mm; whereas the minimum values were obtained at: 70 °C and 2.0 ms~(-1); 10 mm and 70 °C; and 10 mm and 2 ms~(-1). The optimum drying conditions of 1.54 ms~(-1) air velocity, 15.45 mm slice thickness and 54.8 °C temperature were found at a predicted energy consumption value of 34.27 kW-h for okra slices in a hybrid solar-electric dryer. A recommendation for further work was stated.
机译:提出了太阳能辅助电动烘干机中秋葵切片能耗的优化。采用响应面方法(RSM)优化干燥过程的能耗以及干燥参数:空气速度(1.0,1.5和2.0 ms1),切片厚度(10,15和20mm)和温度(50,60和70°C)。设计专家7.0统计包装的中央复合可旋转设计用于三个干燥参数。测量并通过Arduino MicroRocescessor测量并记录用于干燥每1000g Okra切片的每1000g kera切片。发现二阶多项式模型适用于能耗响应,高r〜2值为0.9984。进行统计分析以验证模型的适用性。通过实验数据开发并验证了预测能耗模型。过程参数对能量消耗以及其交互效应具有显着影响。得到的结果表明,干燥1000g切片秋葵的最大和最小能量分别为33.94和1.02 kW-h。发现平均能量消耗以恒定的空气速度下的温度降低,反之亦然,以及在恒定温度下随空气速度的增加。获得最大能量消耗值:50°Cand 1.0ms〜(-1); 20毫米和50°C; 1.0 ms〜(-1)和20毫米;虽然在:70°C和2.0ms〜(-1)中获得的最小值; 10毫米和70°C;和10 mm和2 ms〜(-1)。在Hybrid太阳能电力干燥器中的Okra切片的预测能耗值为34.27kW-H的预测能耗值,最佳干燥条件为1.54ms〜(-1)〜(-1)空气速度,15.45毫米切片厚度和54.8°C温度。陈述了进一步工作的建议。

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