[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 …
Recent advances in hydrogen production from biomass waste with a focus on pyrolysis and gasification
Energy consumption was skyrocketing along with fast economic development as well as
continuous global population growth. Furthermore, environmental concerns about …
continuous global population growth. Furthermore, environmental concerns about …
[HTML][HTML] Improving the thermal efficiency of a solar flat plate collector using MWCNT-Fe3O4/water hybrid nanofluids and ensemble machine learning
Z Said, P Sharma, LS Sundar, C Li, DC Tran… - Case Studies in Thermal …, 2022 - Elsevier
The thermal performance of a flat plate solar collector using MWCNT+ Fe 3 O 4/Water hybrid
nanofluids was examined in this research. The flat plate solar collector was tested using …
nanofluids was examined in this research. The flat plate solar collector was tested using …
Using Bayesian optimization and ensemble boosted regression trees for optimizing thermal performance of solar flat plate collector under thermosyphon condition …
The thermal performance of a flat plate solar collector operating under thermosyphon
conditions using MWCNT+ Fe 3 O 4/Water hybrid nanofluids was investigated in this study …
conditions using MWCNT+ Fe 3 O 4/Water hybrid nanofluids was investigated in this study …
Biomass microwave pyrolysis characterization by machine learning for sustainable rural biorefineries
Y Yang, H Shahbeik, A Shafizadeh, N Masoudnia… - Renewable Energy, 2022 - Elsevier
Microwave heating is a promising solution to overcome the shortcomings of conventional
heating in biomass pyrolysis. Nevertheless, biomass microwave pyrolysis is a complex …
heating in biomass pyrolysis. Nevertheless, biomass microwave pyrolysis is a complex …
Techno-economic assessment and logistics management of biomass in the conversion progress to bioenergy
Biomass has been known as a potential energy source for biofuel production to replace
fossil fuels aiming to minimize greenhouse gas emissions. However, one of the hurdles to …
fossil fuels aiming to minimize greenhouse gas emissions. However, one of the hurdles to …
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 …
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 …
conversion and waste management approach. However, commercializing biochar faces …
Enhancement of combustion characteristics of waste cooking oil biodiesel using TiO2 nanofluid blends through RSM
Growing environmental concerns and stringent emission regulations have fueled the search
for an alternative fuel without engine modification that can minimize pollution from …
for an alternative fuel without engine modification that can minimize pollution from …