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 …

Advances in machine learning technology for sustainable biofuel production systems in lignocellulosic biorefineries

V Sharma, ML Tsai, CW Chen, PP Sun… - Science of The Total …, 2023 - Elsevier
In view of the global climate change concerns, the society is approaching towards the
development of 'green'and renewable energies for sustainable future. The non-renewable …

State-of-the-art and future directions of machine learning for biomass characterization and for sustainable biorefinery

A Velidandi, PK Gandam, ML Chinta… - Journal of Energy …, 2023 - Elsevier
Abstract Machine learning (ML) has emerged as a significant tool in the field of biorefinery,
offering the capability to analyze and predict complex processes with efficiency. This article …

Advances in production & activation of marine macroalgae-derived biochar catalyst for sustainable biodiesel production

MZ Yameen, H AlMohamadi, SR Naqvi, T Noor… - Fuel, 2023 - Elsevier
Biodiesel is considered as a promising sustainable biofuel from renewable resources with
lower pollutant emissions. However, high production cost, difficulty in recovering catalyst …

Using evolutionary machine learning to characterize and optimize co-pyrolysis of biomass feedstocks and polymeric wastes

H Shahbeik, A Shafizadeh, MH Nadian, D Jeddi… - Journal of Cleaner …, 2023 - Elsevier
Co-pyrolysis of biomass feedstocks with polymeric wastes is a promising strategy for
improving the quantity and quality parameters of the resulting liquid fuel. Numerous …

Gasification of biomass for syngas production: Research update and stoichiometry diagram presentation

YJ Chang, JS Chang, DJ Lee - Bioresource technology, 2023 - Elsevier
Gasification is a thermal process that converts organic materials into syngas, bio-oil, and
solid residues. This mini-review provides an update on current research on producing high …

Advancing sustainable development goals with machine learning and optimization for wet waste biomass to renewable energy conversion

S Zhu, N Preuss, F You - Journal of Cleaner Production, 2023 - Elsevier
With the rapid surge in global population, urbanization, and improved living standards, there
has been a significant increase in untreated wet waste. This escalation poses a critical …

Importance of blue carbon in mitigating climate change and plastic/microplastic pollution and promoting circular economy

SA Bandh, FA Malla, I Qayoom, H Mohi-Ud-Din… - Sustainability, 2023 - mdpi.com
Blue carbon has made significant contributions to climate change adaptation and mitigation
while assisting in achieving co-benefits such as aquaculture development and coastal …

Exposing and understanding synergistic effects in co-pyrolysis of biomass and plastic waste via machine learning

P Prasertpong, T Onsree, N Khuenkaeo… - Bioresource …, 2023 - Elsevier
During co-pyrolysis of biomass with plastic waste, bio-oil yields (BOY) could be either
induced or reduced significantly via synergistic effects (SE). However, investigating …

Thermochemical conversion of agricultural waste to hydrogen, methane, and biofuels: A review

A Khan, MBK Niazi, R Ansar, Z Jahan, F Javaid… - Fuel, 2023 - Elsevier
With the depletion of fossil fuels, the energy crisis can now be visualized shortly. At the same
time, waste production in various fields is also on the rise. This has led to a global waste …