Biomass Energy Engineering Research Centre, School of Agriculture and Biology, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, PR China.
Bioresour Technol. 2011 Feb;102(4):3894-9. doi: 10.1016/j.biortech.2010.11.110. Epub 2010 Nov 29.
Using some theoretically simulated data constructed from known sets of the activation energy distribution f(E) (assumed to follow the Gaussian distribution [Formula in text] where E is the activation energy, E(0) is the mean value of the activation energy distribution, and σ is the standard deviation of the activation energy distribution) and the frequency factor k(0), a critical study of the use of the Miura-Maki integral method for the estimation of the kinetic parameters of the distributed activation energy model has been performed from three cases. For all cases, the use of the Miura-Maki integral method leads to important errors in the estimation of k(0). There are some differences between the assumed and calculated activation energy distributions and the differences decrease with increasing the assumed k(0) values (for Case 1), with increasing the assumed σ values (for Case 2), and with decreasing the b values (for Case 3).
利用一些理论模拟数据，这些数据是由已知的激活能分布 f(E)集合构造而成（假设服从高斯分布[公式在文本中]，其中 E 是激活能，E(0)是激活能分布的平均值，σ是激活能分布的标准偏差）和频率因子 k(0)，从三个案例中对 Miura-Maki 积分法用于估计分布激活能模型的动力学参数的使用进行了重要的研究。对于所有情况，Miura-Maki 积分法的使用都会导致对 k(0)的估计存在重要误差。在假设和计算的激活能分布之间存在一些差异，这些差异随着假设的 k(0)值的增加（对于案例 1）、假设的 σ 值的增加（对于案例 2）和 b 值的减小（对于案例 3）而减小。
