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首页> 外文期刊>Applied Engineering in Agriculture >Hygroscopic moisture sorption kinetics modeling of corn stover and its fractions.
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Hygroscopic moisture sorption kinetics modeling of corn stover and its fractions.

机译：玉米秸秆及其馏分的吸湿吸湿动力学模型。

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摘要

Corn stover, a major crop-based lignocellulosic biomass feedstock, is required to be at an optimum moisture content for efficient bioconversion processes. Environmental conditions surrounding corn stover, as in storage facilities, affect its moisture due to hygroscopic sorption or desorption. The measurement and modeling of sorption characteristics of corn stover and its leaf, husk, and stalk fractions are useful from utilization and storage standpoints, hence investigated in this article. A benchtop low-temperature humidity chamber provided the test environments of 20 degrees C, 30 degrees C, and 40 degrees C at a constant 95% relative humidity. Measured sorption characteristics with three replications for each fraction were obtained from instantaneous sample masses and initial moisture contents. Observed sorption characteristics were fitted using exponential, Page, and Peleg models. Corn stover fractions displayed a rapid initial moisture uptake followed by a slower sorption rates and eventually becoming almost asymptotic after 25 h. Sorption characteristics of all corn stover fractions were significantly different (P<0.0001) but not the effect of temperature (P>0.05) on these fractions. The initial 30 min of sorption was found to be critical due to peak rates of sorption from storage, handling, and processing standpoints. The Page and Peleg models had comparable performance fitting the sorption curves (R2
机译：玉米秸秆是一种主要的基于作物的木质纤维素生物质原料，必须具有最佳的水分含量才能有效地进行生物转化。玉米秸秆周围的环境条件（如在存储设施中）由于吸湿性吸附或解吸作用而影响其水分。从利用和储存的角度出发，对玉米秸秆及其叶片，果壳和秸秆部分的吸附特性进行测量和建模是有用的，因此在本文中进行了研究。台式低温湿度箱在95％的恒定相对湿度下提供了20摄氏度，30摄氏度和40摄氏度的测试环境。从瞬时样品质量和初始水分含量获得了对每个馏分进行三次重复测定的吸附特性。使用指数模型，佩奇模型和佩勒格模型拟合观察到的吸附特性。玉米秸秆馏分显示出快速的初始水分吸收，随后具有较慢的吸附速率，并最终在25 h后逐渐渐近。所有玉米秸秆馏分的吸附特性差异显着（P <0.0001），但温度对这些馏分的影响无差异（P> 0.05）。从存储，处理和加工的角度来看，最初的30分钟吸附至关重要，这是由于吸附的峰值速率所致。 Page和Peleg模型具有与吸附曲线相匹配的可比性能（R 2

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