[HTML][HTML] Machine-learning-aided thermochemical treatment of biomass: a review

H Li, J Chen, W Zhang, H Zhan, C He… - Biofuel Research …, 2023 - biofueljournal.com
Thermochemical treatment is a promising technique for biomass disposal and valorization.
Recently, machine learning (ML) has been extensively used to predict yields, compositions …

Applications of machine learning in thermochemical conversion of biomass-A review

SR Naqvi, Z Ullah, SAA Taqvi, MNA Khan, W Farooq… - Fuel, 2023 - Elsevier
Thermochemical conversion of biomass has been considered a promising technique to
produce alternative renewable fuel sources for future energy supply. However, these …

Machine learning for hydrothermal treatment of biomass: A review

W Zhang, Q Chen, J Chen, D Xu, H Zhan, H Peng… - Bioresource …, 2023 - Elsevier
Abstract Hydrothermal treatment (HTT)(ie, hydrothermal carbonization, liquefaction, and
gasification) is a promising technology for biomass valorization. However, diverse variables …

Cellulosic biomass fermentation for biofuel production: Review of artificial intelligence approaches

MH Naveed, MNA Khan, M Mukarram, SR Naqvi… - … and Sustainable Energy …, 2024 - Elsevier
Scarcity in fossil fuel reserves and their environmental impacts has forced the world towards
the production of clean and environment-friendly fuels called biofuels. This review focuses …

Artificial intelligence and machine learning tools for high-performance microalgal wastewater treatment and algal biorefinery: A critical review

RK Oruganti, AP Biji, T Lanuyanger, PL Show… - Science of The Total …, 2023 - Elsevier
The increased water scarcity, depletion of freshwater resources, and rising environmental
awareness are stressing for the development of sustainable wastewater treatment …

Biomass to biofuels using hydrothermal liquefaction: A comprehensive review

H Shahbeik, HKS Panahi, M Dehhaghi… - … and Sustainable Energy …, 2024 - Elsevier
The utilization of renewable fuel alternatives holds promise for reducing the financial burden
of regulatory compliance and the social responsibility associated with greenhouse gas …

Recent advances and future prospects of thermochemical biofuel conversion processes with machine learning

PR Jeon, JH Moon, NO Ogunsola, SH Lee… - Chemical Engineering …, 2023 - Elsevier
Biofuels have been widely recognized as potential solutions to addressing the climate crisis
and strengthening energy security and sustainability. However, techno-economic and …

Characterizing sludge pyrolysis by machine learning: towards sustainable bioenergy production from wastes

H Shahbeik, S Rafiee, A Shafizadeh, D Jeddi, T Jafary… - Renewable Energy, 2022 - Elsevier
Sludge pyrolysis has sparked the interest of researchers because of its capability to dispose
of hazardous residues while producing valuable bioproducts. Numerous expensive and …

Environmental life cycle assessment of biomass conversion using hydrothermal technology: A review

F Hussin, NN Hazani, M Khalil, MK Aroua - Fuel Processing Technology, 2023 - Elsevier
Renewable resources such as biomass are essential in increasing energy security and
enabling countries to reduce greenhouse gas emissions. Biomass can be converted into …

Biochar production and its environmental applications: recent developments and machine learning insights

KV Supraja, H Kachroo, G Viswanathan… - Bioresource …, 2023 - Elsevier
Biochar production through thermochemical processing is a sustainable biomass
conversion and waste management approach. However, commercializing biochar faces …