Application of life cycle assessment and machine learning for the production and environmental sustainability assessment of hydrothermal bio-oil
Author:
Publisher
Elsevier BV
Subject
Waste Management and Disposal,Renewable Energy, Sustainability and the Environment,General Medicine,Environmental Engineering,Bioengineering
Reference45 articles.
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3. Potential yields and properties of oil from the hydrothermal liquefaction of microalgae with different biochemical content;Biller;Bioresour. Technol.,2011
4. Effects of temperature and solvent on hydrothermal liquefaction of Sargassum tenerrimum algae;Biswas;Bioresour. Technol.,2017
5. Effect of reaction temperature on the conversion of algal biomass to bio-oil and biochar through pyrolysis and hydrothermal liquefaction;Brindhadevi;Fuel.,2021
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Unraveling the effects of sodium carbonate on hydrothermal liquefaction through individual biomass model component and machine learning-enabled prediction;Fuel;2024-02
2. Machine learning models for fast and isothermal hydrothermal liquefaction of biomass: Comprehensive experiment and prediction of various product fraction yields;Energy Conversion and Management;2023-09
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