An empirical model to predict infield thin layer drying rate of cut switchgrass
An empirical model to predict infield thin layer drying rate of cut switchgrass
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DOI：
10.1016/j.biombioe.2013.08.024
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发表时间：
2013-11
影响因子：
6
通讯作者：
A. Khanchi;C. Jones;Bhavna Sharma;R. Huhnke;P. Weckler;N. Maness
中科院分区：
文献类型：
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作者：
A. Khanchi;C. Jones;Bhavna Sharma;R. Huhnke;P. Weckler;N. Maness
通过62个薄层干燥试验，研究了太阳辐射、蒸汽压差和风速对柳枝稷干燥速率的影响。制作了模拟野外干燥条件的环境箱。建立了基于柳枝稷成熟期的经验干燥模型。结果表明，太阳辐射是提高柳枝稷碎种期和碎种成熟期干燥率的最显著因素。因此，建议在柳枝稷的这些成熟阶段，大面积干燥柳枝稷以截留最大的辐射量。在低辐射强度条件下，风速有利于柳枝稷干燥速率的提高。在多云天气，建议在现场操作，如耙或打开窗户，以改善区域内的空气流通。此外，还发现各个天气参数对柳枝稷干燥速率的影响与成熟期有关。在种子发育阶段，蒸汽压亏缺与干燥速率呈强相关，而在种子破碎和破碎阶段，蒸汽压亏缺与干燥速率呈弱相关。这些结果表明，在柳枝稷的每个成熟期使用单独的干燥速率模型是很重要的。本研究建立的经验模型可以根据预测的天气条件预测柳枝稷的干燥时间，从而做出适当的决策。
A series of 62 thin layer drying experiments were conducted to evaluate the effect of solar radiation, vapor pressure deficit and wind speed on drying rate of switchgrass. An environmental chamber was fabricated that can simulate field drying conditions. An empirical drying model based on maturity stage of switchgrass was also developed during the study. It was observed that solar radiation was the most significant factor in improving the drying rate of switchgrass at seed shattering and seed shattered maturity stage. Therefore, drying switchgrass in wide swath to intercept the maximum amount of radiation at these stages of maturity is recommended. Moreover, it was observed that under low radiation intensity conditions, wind speed helps to improve the drying rate of switchgrass. Field operations such as raking or turning of the windrows are recommended to improve air circulation within a swath on cloudy days. Additionally, it was found that the effect of individual weather parameters on the drying rate of switchgrass was dependent on maturity stage. Vapor pressure deficit was strongly correlated with the drying rate during seed development stage whereas, vapor pressure deficit was weakly correlated during seed shattering and seed shattered stage. These findings suggest the importance of using separate drying rate models for each maturity stage of switchgrass. The empirical models developed in this study can predict the drying time of switchgrass based on the forecasted weather conditions so that the appropriate decisions can be made.