Evaluating Feedstock Properties for Efficient Biochar Production: A Comparative Study

Biochar production via pyrolysis of various organic waste has potential to reduce dependence on conventional energy sources and mitigate global warming potential. However, the performance of biochar is highly dependent on the biomass composition and pyrolysis condition. Here, ANOVA analysis are used to develop a statistical comparison between different features of a wide range of feedstock including proximate and ultimate composition, pyrolysis condition and biochar yield. In total, ۲۲۶ datasets were collected from different studies to compare statically the difference between main mentioned characteristics of feedstock. The obtained result shows that although there is a significant difference between many feedstocks based on fixed carbon and volatile matter, the difference for ash content was generally insignificant. Moreover, coconut shell has the highest level of C and H and the lowest level of O, but the there is a significant difference between this feedstock with a wide range of other cases just for C and O. Furthermore, the highest temperature (۶۰۰ ۰C) and heating rate (۲۵ ۰C/min) are for oat hall and orange bagasse, respectively, however the difference of temperature is generally insignificant for the considered dataset. Finally, the pine wood and coconut fiber show higher biochar yield, ۷۶.۳% and ۶۷%, respectively, with a significant difference with all of other feedstocks. In general, using this method can provide a special comparison between different features of biomass feedstock, and this can be helpful in choosing data-driven machine learning models and selecting the best condition in experimental condition such as finding an optimized mixture of feedstock.

کلیدواژه ها:

ANOVA analysis ، Biochar yield ، Pyrolysis condition ، Ultimate composition