Intelligent approaches for sustainable management and valorisation of food waste
Food waste (FW) is a severe environmental and social concern that today's civilization is
facing. Therefore, it is necessary to have an efficient and sustainable solution for managing …
facing. Therefore, it is necessary to have an efficient and sustainable solution for managing …
[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 …
Recently, machine learning (ML) has been extensively used to predict yields, compositions …
Applications of machine learning in thermochemical conversion of biomass-A review
Thermochemical conversion of biomass has been considered a promising technique to
produce alternative renewable fuel sources for future energy supply. However, these …
produce alternative renewable fuel sources for future energy supply. However, these …
Machine learning methods for modelling the gasification and pyrolysis of biomass and waste
S Ascher, I Watson, S You - Renewable and Sustainable Energy Reviews, 2022 - Elsevier
Over the past two decades, the use of machine learning (ML) methods to model biomass
and waste gasification/pyrolysis has increased rapidly. Only 70 papers were published in …
and waste gasification/pyrolysis has increased rapidly. Only 70 papers were published in …
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 …
gasification) is a promising technology for biomass valorization. However, diverse variables …
Hydrogen-rich syngas production from the lignocellulosic biomass by catalytic gasification: A state of art review on advance technologies, economic challenges, and …
Global population growth, modernization, and industrialization have all significantly
increased energy consumption, which has worsened the climate and led to greenhouse gas …
increased energy consumption, which has worsened the climate and led to greenhouse gas …
Recent advances and future prospects of thermochemical biofuel conversion processes with machine learning
Biofuels have been widely recognized as potential solutions to addressing the climate crisis
and strengthening energy security and sustainability. However, techno-economic and …
and strengthening energy security and sustainability. However, techno-economic and …
Machine learning methods for modeling conventional and hydrothermal gasification of waste biomass: A review
Conventional and hydrothermal gasification are promising thermochemical technologies for
the production of syngas from waste biomass. Both gasification processes are complex, with …
the production of syngas from waste biomass. Both gasification processes are complex, with …
A critical review on biochar production from pine wastes, upgradation techniques, environmental sustainability, and challenges
Pine wastes, including pine needles, cones, and wood, are abundantly produced as an
agroforestry by-product globally and have shown tremendous potential for biochar …
agroforestry by-product globally and have shown tremendous potential for biochar …
Machine learning technology in biohydrogen production from agriculture waste: recent advances and future perspectives
Agricultural waste biomass has shown great potential to deliver green energy produced by
biochemical and thermochemical conversion processes to mitigate future energy crises …
biochemical and thermochemical conversion processes to mitigate future energy crises …