Affiliation:
1. National Engineering Laboratory for Biomass Power Generation Equipment, North China Electric Power University, Beijing, 102206, China
2. College of Engineering, China Agriculture University, 100083, China
Abstract
This study is supposed to measure the varied pyrolytic parameters of corn and wheat straw rapidly using Near Infrared Spectroscopy (NIRS). The pyrolytic parameters include starting temperature, ending temperature, mass loss ratio, devolatilization peak rate and the corresponding temperature
and activation energy. The pyrolytic parameters are calculated using Thermogravimetric Analysis (TGA) data. Then the Near Infrared (NIR) spectra of sample are collected using PerkinElmer (PE) spectrometer. Finally, the prediction model was developed using chemometrics method with the help
of Matlab. The results show NIRS is feasible to predict the total mass loss ratio, starting temperature, ending temperature and peak temperature perfectly under all of the three different heating rates, with the relative standard deviation (RSD) being smaller than 2.86%. The NIRS can predict
the mass loss ratio and peak rate well under all of the three different heating rates, with the RSD being smaller than 9.62%. The accuracy of the models of heating rate being 20 °C/min is apparently lower. In addition, the NIRS models can predict mean activation energy (Ea) and the Ea
for the conversion ratio from 0.3 to 0.6 very well, with the RSD value being smaller than 10%.
Publisher
American Scientific Publishers
Subject
Renewable Energy, Sustainability and the Environment,Biomaterials,Bioengineering