Machine learning approach to predict the biofuel production via biomass gasification and natural gas integrating to develop a low-carbon and environmental-friendly design: Thermodynamic-conceptual assessment.

Xia, Jiulin; Yan, Gongxing; Abed, Azher M; Nag, Kaushik; Galal, Ahmed M; Deifalla, Ahmed; Li, Jialing

Xia, Jiulin; Yan, Gongxing; Abed, Azher M; Nag, Kaushik; Galal, Ahmed M; Deifalla, Ahmed; Li, Jialing.

Afiliação

Xia J; Chongqing Creation Vocational College, Yongchuan,402160, Chongqing, China. Electronic address: s002320@163.com.
Yan G; School of Intelligent Construction, Luzhou Vocational and Technical College, Luzhou, 646000, China; Luzhou Key Laboratory of Intelligent Construction and Low-carbon Technology, Luzhou, 646000, China. Electronic address: yaaangx@126.com.
Abed AM; Air Conditioning and Refrigeration Technologies Engineering Department, Al-Mustaqbal University College, Babylon, 51001, Iraq. Electronic address: azhermuhson@uomus.edu.iq.
Nag K; College of Engineering and Technology, American University of the Middle East, Kuwait. Electronic address: Kaushik.nag@aum.edu.kw.
Galal AM; Department of Mechanical Engineering, College of Engineering in Wadi Alddawasir, Prince Sattam Bin Abdulaziz University, Saudi Arabia; Production Engineering and Mechanical Design Department, Faculty of Engineering, Mansoura University, P.O 35516, Mansoura, Egypt. Electronic address: ahm.mohamed@psa
Deifalla A; Future University in Egypt; South Teseen, 11835, New Cairo, Egypt. Electronic address: ahmed.deifalla@fue.edu.eg.
Li J; College of Engineering Management, Nueva Ecija University of Science and Technology, Cabanatuan, Philippines. Electronic address: candyteddy@163.com.

Chemosphere ; 336: 138985, 2023 Sep.

Article em En | MEDLINE | ID: mdl-37247675

Assuntos

Biocombustíveis; Gás Natural; Biomassa; Carbono; Hidrogênio; Termodinâmica

Palavras-chave

Biofuel prediction; Biomass gasification; Environmental impacts; Machine learning technique; Thermodynamic

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biocombustíveis / Gás Natural Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Chemosphere Ano de publicação: 2023 Tipo de documento: Article

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