Accurate machine-learning-based prediction of aerodynamic and heat transfer coefficients for cylindrical biomass particles

Author:

Wang Jingliang,Ma Lun,Fang Qingyan,Zhang Cheng,Chen Gang,Yin ChungenORCID

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference67 articles.

1. Particle-laden turbulence: progress and perspectives;Brandt;Annu. Rev. Fluid Mech.,2022

2. Development in biomass preparation for suspension firing towards higher biomass shares and better boiler performance and fuel rangeability;Yin;Energy,2020

3. Prospects and issues of integration of co-combustion of solid fuels (coal and biomass) in chemical looping technology;Bhui;J. Environ. Manage.,2019

4. Biomass co-firing technology with policies, challenges, and opportunities: a global review;Roni;Renew. Sustain. Energy Rev.,2017

5. Research progress on direct-fired biomass power generation in coal-fired units:gas-solid two-phase dynamic model for large non-spherical biomass particles;Jingliang;Clean Coal Technol.,2023

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