Machine learning prediction of bio-oil characteristics quantitatively relating to biomass compositions and pyrolysis conditions

• Published in: Fuel (Guildford) Vol. 312; p. 122812
• Main Authors: Zhang, Tonghuan, Cao, Danyang, Feng, Xin, Zhu, Jiahua, Lu, Xiaohua, Mu, Liwen, Qian, Hongliang
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 15.03.2022; Elsevier BV
• Subjects: Bio-oil; Biomass; Calorific value; Carbon; Chemical composition; Error analysis; Heating rate; Learning algorithms; Machine learning; Oil; Predictions; Pyrolysis; Regression analysis; Pyrolysis; Biomass; Machine learning; Bio-oil

•Data of bio-oil characteristic related to pyrolysis were collected systematically.•Regression of viscosity, CV, H/C and O/C was realized via machine learning.•Bio-oil was analyzed from three aspects: quantity, quality and compositions. It is crucial to predict the characteristics of pyrolytic bio-o...