Prediction on microwave-assisted elimination of biomass tar using back propagation neural network-Reference-Cited by-同舟云学术

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Prediction on microwave-assisted elimination of biomass tar using back propagation neural network

Published:2022-05-23 Issue: Volume: Page:
ISSN:2190-6815
Container-title:Biomass Conversion and Biorefinery
language:en
Short-container-title:Biomass Conv. Bioref.

Author:

Chen Yu,Yang Cheng,Ying Kanfeng,Yang Fan,Che Lei,Chen Zezhou

Funder

Huzhou Science and Technology Project

Zhejiang Basic Public Welfare Research Project

Publisher

Springer Science and Business Media LLC

Subject

Renewable Energy, Sustainability and the Environment

Link

https://link.springer.com/content/pdf/10.1007/s13399-022-02834-1.pdf

Reference43 articles.

1. Li C, Suzuki K (2009) Tar property, analysis, reforming mechanism and model for biomass gasification—an overview. Renew Sustain Energy Rev 13:594–604. https://doi.org/10.1016/j.rser.2008.01.009

2. Gredinger A, Spörl R, Scheffknecht G (2018) Comparison measurements of tar content in gasification systems between an online method and the tar protocol. Biomass Bioenergy 111:301–307. https://doi.org/10.1016/j.biombioe.2017.01.026

3. Torres W, Pansare SS, Goodwin JG (2007) Hot gas removal of tars, ammonia, and hydrogen sulfide from biomass gasification gas. Catal Rev 49:407–456. https://doi.org/10.1080/01614940701375134

4. Valderrama Rios ML, González AM, Lora EES, Almazán del Olmo OA (2018) Reduction of tar generated during biomass gasification: a review. Biomass Bioenergy 108:345–370. https://doi.org/10.1016/j.biombioe.2017.12.002

5. Anis S, Zainal ZA (2011) Tar reduction in biomass producer gas via mechanical, catalytic and thermal methods: a review. Renew Sustain Energy Rev 15:2355–2377. https://doi.org/10.1016/j.rser.2011.02.018

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