Co-incineration of multiple inorganic solid wastes towards clean disposal: Heat and mass transfer modeling, pollutant generation, and machine learning based proportioning-Reference-Cited by-同舟云学术

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Co-incineration of multiple inorganic solid wastes towards clean disposal: Heat and mass transfer modeling, pollutant generation, and machine learning based proportioning

Published:2024-09 Issue:3 Volume:2 Page:100086
ISSN:2949-7205
Container-title:Green Energy and Resources
language:en
Short-container-title:Green Energy and Resources

Author:

Chen Guanyi,Chen Guandong,Li Jingwei,Pan Queyi,Liang Daolun,Qiu Jie,Zhao Xiqiang,Wang Xiaojia,Li Zhongshan,Li Xiangping,Ma Xiaoling,Wu Shuang,Sun Yunan

Funder

Ministry of Science and Technology of the People's Republic of China

National Key Research and Development Program of China

Publisher

Elsevier BV

Reference30 articles.

1. Fast characterization of biodiesel via a combination of ATR-FTIR and machine learning models;Chen;Fuel,2023

2. Sewage sludge enhances cold-pressed pelletization and carbothermic reduction of steel plant sintering dust;Chen;J. Clean. Prod.,2024

3. Simulation for response of crop yield to soil moisture and salinity with artificial neural network;Dai;Field Crops Res.,2011

4. Cogasification of biofermenting residue in a coal-water slurry gasifier;Du;Energy Fuel.,2014

5. Comparison and research progress of disposal technologies of sintering machine head ash;Feng;Sintering and Pelletizing,2023

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