Hydrothermal treatment of biomass feedstocks for sustainable production of chemicals, fuels, and materials: progress and perspectives

B Zhang, BK Biswal, J Zhang… - Chemical …, 2023 - ACS Publications
Hydrothermal process is an emerging technology that contributes to sustainable production
of biomass-derived chemicals, fuels, and materials. This technology uses hot compressed …

Advances in biomass torrefaction: Parameters, models, reactors, applications, deployment, and market

SK Thengane, KS Kung, A Gomez-Barea… - Progress in Energy and …, 2022 - Elsevier
Biomass is a promising renewable source that can reduce fossil fuel consumption and
associated greenhouse gas emissions, but some of its characteristics make it difficult to use …

Production and beneficial impact of biochar for environmental application: A review on types of feedstocks, chemical compositions, operating parameters, techno …

RK Mishra, DJP Kumar, A Narula, SM Chistie, SU Naik - Fuel, 2023 - Elsevier
Biochar generation from biomass pyrolysis is an appealing and practical technology for
storing carbon and lowering the greenhouse gas (GHG) emissions. Carbon recalcitrance in …

Emerging trends and advances in valorization of lignocellulosic biomass to biofuels

G Velvizhi, PJ Jacqueline, NP Shetti, K Latha… - Journal of …, 2023 - Elsevier
Sustainable technologies pave the way to address future energy demand by converting
lignocellulosic biomass into fuels, carbon-neutral materials, and chemicals which might …

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 …

A systematic review of the research trends of machine learning in supply chain management

D Ni, Z Xiao, MK Lim - International Journal of Machine Learning and …, 2020 - Springer
Research interests in machine learning (ML) and supply chain management (SCM) have
yielded an enormous amount of publications during the last two decades. However, in the …

Biochar as environmental armour and its diverse role towards protecting soil, water and air

A Kumar, E Singh, R Mishra, S Kumar - Science of The Total Environment, 2022 - Elsevier
Biochar has been of considerable importance for various environmental applications in
recent years. It has exhibited substantial advantages like favourable structural and surface …

A comprehensive state-of-technology review for upgrading bio-oil to renewable or blended hydrocarbon fuels

S Hansen, A Mirkouei, LA Diaz - Renewable and Sustainable Energy …, 2020 - Elsevier
Bioenergy sources are being advanced as a meaningful environmental solution and a
substitute for conventional energy sources. Bioenergy from biomass feedstocks currently …

Sustainable supply chain management: A review of literature and implications for future research

SS Panigrahi, B Bahinipati, V Jain - Management of Environmental …, 2019 - emerald.com
Purpose The business enterprises are increasingly focusing on buying and supplying of
products and services in a manner to reduce the adverse impacts on the environment …

Meta-heuristics for sustainable supply chain management: A review

S Faramarzi-Oghani, P Dolati Neghabadi… - … Journal of Production …, 2023 - Taylor & Francis
Due to the complexity and the magnitude of optimisation models that appeared in
sustainable supply chain management (SSCM), the use of meta-heuristic algorithms as …