Abstract On-line measurement of activation energy (Ea) is very important in supporting the thermal conversion process. The main objective of this study was to evaluate the Ea of ground bamboo using near infrared spectroscopy in real time. 80 bamboo samples with different diameters were selected using random sampling. Ea was determined using the Coats-Redfern method, and Ea of reaction order (n) at n = 1 and n≠1 was investigated. The performance of on-line measurement predicted by PLS modelling for Ea at n = 1 and Ea at n≠1 showed coefficients of determination of 0.781 and 0.714, respectively; standard error of prediction of 5.249 and 6.858 kJ/mol, respectively; and bias values of −1.0628 and −1.871 kJ/mol, respectively. Both PLS models were found to be fair and could be applied toward screening. The results showed that the vibration bands of lignocellulosic components (CH2, hemicellulose, cellulose, and lignin) highly influenced model development. Moreover, internal relationships were identified among Ea, the pre-exponential factor (A), and n, such as A (1/min) = 63251 × e0.2200×Ea (at n = 1), A (1/min) = 33719 × e0.2267×Ea (at n≠1), and n = 0.008 × Ea+0.254. These relationships can be used to evaluate A and n if Ea is known. In the case of this study, Ea was forecasted using an NIR model.

中文翻译：

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用近红外光谱在线测量磨碎竹子的活化能

摘要 活化能 (Ea) 的在线测量对于支持热转换过程非常重要。本研究的主要目的是使用近红外光谱实时评估磨碎的竹子的 Ea。采用随机抽样的方式，选取了 80 个不同直径的竹子样品。Ea 使用 Coats-Redfern 方法确定，并研究了反应级数 (n) 在 n = 1 和 n≠1 时的 Ea。通过PLS 建模对n = 1 时的Ea 和n≠1 时的Ea 预测的在线测量性能分别显示确定系数为0.781 和0.714；预测的标准误差分别为 5.249 和 6.858 kJ/mol；和偏差值分别为 -1.0628 和 -1.871 kJ/mol。两种 PLS 模型都被发现是公平的，可以应用于筛选。结果表明，木质纤维素成分（CH2、半纤维素、纤维素和木质素）的振动带对模型的发展有很大影响。此外，还确定了 Ea、指前因子 (A) 和 n 之间的内部关系，例如 A (1/min) = 63251 × e0.2200 × Ea (at n = 1)、A (1/min) = 33719 × e0.2267 × Ea（在 n≠1 时），并且 n = 0.008 × Ea+0.254。如果 Ea 已知，这些关系可用于评估 A 和 n。在本研究中，Ea 是使用 NIR 模型预测的。如果 Ea 已知，这些关系可用于评估 A 和 n。在本研究中，Ea 是使用 NIR 模型预测的。如果 Ea 已知，这些关系可用于评估 A 和 n。在本研究中，Ea 是使用 NIR 模型预测的。