Modeling the impact of some independent parameters on the syngas characteristics during plasma gasification of municipal solid waste using artificial neural network and stepwise linear regression methods
【作者单位】1 School of Environmental Science and Engineering, Tianjin University/Tianjin Key Lab of Biomass/Wastes Utilization, Tianjin, 300072, China; 2 School of Science, Tibet University, Lhasa, 850012, Tibet, China; 3 Qingdao Institute for Marine Technology of Tianjin University, Qingdao, 266235, China; 4 Shanghai Engineering Research Center of Solid Waste Treatment and Resource Recovery, School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China; 5 School of Environmental Science and Engineering, Renmin University of China, Beijing, 100872, China; 6 United Nations Environment Programme (UNEP), Nairobi, P.O. Box 30552, Kenya
【年份】2022
【卷号】Vol.157
【页码】112052
【ISSN】1364-0321
【关键词】Thermal plasma Gasification Municipal solid waste Stepwise linear regression Artificial neural network Syngas characteristics
【摘要】 Thermal plasma gasification is considered as an attractive technology to produce high quality syngas from municipal solid waste . It is imperative to study the effect of operating parameters on syngas quality and find a practical way to predict synga...
