Machine learning models for fast and isothermal hydrothermal liquefaction of biomass: Comprehensive experiment and prediction of various product fraction yields-Reference-Cited by-同舟云学术

Machine learning models for fast and isothermal hydrothermal liquefaction of biomass: Comprehensive experiment and prediction of various product fraction yields

Published:2023-09 Issue: Volume:292 Page:117430
ISSN:0196-8904
Container-title:Energy Conversion and Management
language:en
Short-container-title:Energy Conversion and Management

Author:

Qian Lili^ORCID,Ni Jun,Luo Ming,Lu Yi,Wang Shuang^ORCID,Yuan Chuan,Zhu Kai,Zhang Bo,Gu Heng^ORCID

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Reference55 articles.

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2. A review on hydrothermal liquefaction of algal biomass on process parameters, purification and applications;Ravichandran;Fuel,2022

3. A comparative techno-economic assessment of fast pyrolysis, hydrothermal liquefaction, and intermediate pyrolysis of municipal solid waste for liquid transportation fuels production;Rahman;Energ Convers Manage,2022

4. A review on fast hydrothermal liquefaction of biomass;Ni;Fuel,2022

5. Effect of process variables on food waste valorization via hydrothermal liquefaction;Motavaf;Acs Est Eng,2021

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