BCLH2Pro: a novel computational tools approach for hydrogen production prediction via machine learning in biomass chemical looping processes

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BCLH2Pro: a novel computational tools approach for hydrogen production prediction via machine learning in biomass chemical looping processes

This study optimizes biomass chemical looping processes (BCLpro), a technique for converting biomass to energy, through machine learning (ML) for sustainable energy production. The study proposes an integrated Fe2O3-based ฺBCLpro combining steam gasification for H2 production. Aspen Plus is used as...

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Bibliographic Details
Main Authors:	Tuntiwongwat, Thanadol, Thammawiset, Sippawit, Srinophakun, Thongchai Rohitatisha, Ngamcharussrivichai, Chawalit, Sukpancharoen, Somboon
Format:	Article
Language:	English
Published:	Elsevier B.V. 2024
Online Access:	http://psasir.upm.edu.my/id/eprint/114514/ http://psasir.upm.edu.my/id/eprint/114514/1/114514.pdf

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