文献类型：期刊文献

英文题名：Progress in pyrolysis conversion of waste into value-added liquid pyro-oil, with focus on heating source and machine learning analysis

作者：Ge, Shengbo[1] Shi, Yang[1] Xia, Changlei[1] Huang, Zhenhua[2] Manzo, Maurizio[2] Cai, Liping[1,2] Ma, Hongzhi[3] Zhang, Shu[1] Jiang, Jianchun[4] Sonne, Christian[1,5] Lam, Su Shiung[1,6]

第一作者：Ge, Shengbo

通信作者：Xia, CL[1];Lam, SS[1]

机构：[1]Nanjing Forestry Univ, Coll Mat Sci & Engn, Co Innovat Ctr Efficient Proc & Utilizat Forestry, Nanjing 210037, Jiangsu, Peoples R China;[2]Univ North Texas, Dept Mech Engn, Denton, TX 76207 USA;[3]Univ Sci & Technol Beijing, Dept Environm Engn, 30 Xueyuan Rd,Haidian Dist, Beijing 100083, Peoples R China;[4]Inst Chem Ind Forest Prod, Natl Engn Lab Biomass Chem Utilizat, Chinese Acad Forestry, Key Lab Biomass Energy & Mat, Nanjing 210042, Jiangsu, Peoples R China;[5]Aarhus Univ, Arct Res Ctr, Dept Biosci, Frederiksborgvej 399,PO Box 358, DK-4000 Roskilde, Denmark;[6]Univ Malaysia Terengganu, Higher Inst Ctr Excellence HICoE, Inst Trop Aquaculture & Fisheries AKUATROP, 21030 Kuala Nerus, Terengganu, Malaysia

年份：2021

卷号：245

外文期刊名：ENERGY CONVERSION AND MANAGEMENT

收录：;EI(收录号：20213410810004);Scopus(收录号：2-s2.0-85113643520);WOS:【SCI-EXPANDED(收录号:WOS:000693364800003)】；

基金：This work is supported by Natural Science Foundation of Jiangsu Province (BK20200775) and China Postdoctoral Science Foundation (2021M690847). The authors thank to Advanced Analysis and Test Center of Nanjing Forestry University. The authors would also like to thank Universiti Malaysia Terengganu under International Partnership Research Grant (UMT/CRIM/2-2/2/23 (23), Vot 55302), and the Ministry of Higher Education, Malaysia under the Higher Institution Centre of Excellence (HICoE), Institute of Tropical Aquaculture and Fisheries (AKUATROP) program (Vot. No. 63933 & Vot. No. 56051, UMT/CRIM/2-2/5 Jilid 2 (10)) for supporting Prof Lam to work on this joint project.

语种：英文

外文关键词：Pyrolysis; Microwave; Synthetic oil; Waste material; Heating rate

摘要：This work emphases the influence of using different heating sources (direct thermal, solar, infrared, microwave heating) on the pyro-oil yield. The effect of the dominating process parameters, namely the heating rate and final temperature, are thoroughly discussed with respect to the heating and reaction mechanism involved. Emphasis is then placed on reviewing the application of microwave (MW) heating in pyrolysis as a relatively new technology with many promising features, particularly the little-known mechanisms of MW heating, new MW heating pattern and pathway using MW absorbents for pyrolysis of waste materials. Machine learning (ML) techniques were then used to statistically analyze the 182 observations in 59 pyrolysis cases obtained from previous pyrolysis practices. The ML linear regression model was developed to predict oil yield by five input variables (feedstock type, feedstock size, heating rate, final temperature, and heating source), which can be used as a guideline for pyrolysis production management. By comparing three heating sources (direct, solar and MW), MW heating is found to be the most efficient method to achieve the highest oil yield. The Decision Tree Analysis demonstrates that the importance order for key variables is as: Log feedstock size > Log heating rate > Heating rate > Temperature > Feedstock size > Heating sources > Feedstock type. Future work should focus on optimizing the heating method and heating rate to achieve optimal yield and quality of pyro-oil. The findings are envisaged to be useful for scaling up the pyrolysis of waste materials for industrial energy applications.