Enhancing co-gasification gas yield prediction in downdraft gasifiers through statistical correction strategy-Reference-Cited by-同舟云学术

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Enhancing co-gasification gas yield prediction in downdraft gasifiers through statistical correction strategy

Published:2024-01 Issue: Volume:49 Page:1007-1018
ISSN:0360-3199
Container-title:International Journal of Hydrogen Energy
language:en
Short-container-title:International Journal of Hydrogen Energy

Author:

Ma Zherui,Feng Yingsong,Wang Jiangjiang,Yin Zhiqiang,Ye Shaoming

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Condensed Matter Physics,Fuel Technology,Renewable Energy, Sustainability and the Environment

Reference41 articles.

1. Hydrogen production from biomass gasification; a theoretical comparison of using different gasification agents;Shayan;Energy Convers Manag,2018

2. Applications of machine learning in thermochemical conversion of biomass-A review;khan;Fuel,2023

3. Air–steam biomass gasification: experiments, modeling and simulation;Sharma;Energy Convers Manag,2016

4. Kinetic modeling and simulation of throated downdraft gasifier;Yucel;Fuel Process Technol,2016

5. Experimental study on hydrogen-rich syngas production via gasification of pine cone particles and wood pellets in a fixed bed downdraft gasifier;Aydin;Int J Hydrogen Energy,2019

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