Biobased polymer composites: a review
Global environmental concerns, as well as the rapid depletion of non-renewable fossil fuel-
based resources, have prompted research into the development of sustainable …
based resources, have prompted research into the development of sustainable …
State-of-the-art and future directions of machine learning for biomass characterization and for sustainable biorefinery
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 …
offering the capability to analyze and predict complex processes with efficiency. This article …
Bioplastic derived from corn stover: Life cycle assessment and artificial intelligence-based analysis of uncertainty and variability
Exploring feasible and renewable alternatives to reduce dependency on traditional fossil-
based plastics is critical for sustainable development. These alternatives can be produced …
based plastics is critical for sustainable development. These alternatives can be produced …
A review of machine learning applications in life cycle assessment studies
Abstract Life Cycle Assessment (LCA) is a foundational method for quantitative assessment
of sustainability. Increasing data availability and rapid development of machine learning …
of sustainability. Increasing data availability and rapid development of machine learning …
Building sustainability through a novel exploration of dynamic LCA uncertainty: Overview and state of the art
Abstract Life Cycle Assessment is necessary for evaluating the environmental impacts of
buildings throughout their life cycle, considering factors such as energy consumption …
buildings throughout their life cycle, considering factors such as energy consumption …
Navigating challenges and opportunities of machine learning in hydrogen catalysis and production processes: Beyond algorithm development
With the projected global surge in hydrogen demand, driven by increasing applications and
the imperative for low-emission hydrogen, the integration of machine learning (ML) across …
the imperative for low-emission hydrogen, the integration of machine learning (ML) across …
Resource savings by sustainability assessment and energy modelling methods in mechanical machining process: A critical review
In machining processes, there are contradictions between high efficiency and
environmentally-friendly machining. This indicated that there is a major potential for …
environmentally-friendly machining. This indicated that there is a major potential for …
Life cycle assessment of greenhouse gas emissions of typical sewage sludge incineration treatment route based on two case studies in China
H Yang, Y Guo, N Fang, B Dong - Environmental Research, 2023 - Elsevier
The rapidly increasing amount of municipal sewage sludge generated in China necessitates
a thorough examination and evaluation of available treatment options. In recent years …
a thorough examination and evaluation of available treatment options. In recent years …
Social Life Cycle Assessment in the construction sector: current work and directions for future research
Purpose While social aspects are considered as part of Life Cycle Sustainability Assessment
(LCSA), the concept of Social Life Cycle Assessment (S-LCA) is relatively new in the …
(LCSA), the concept of Social Life Cycle Assessment (S-LCA) is relatively new in the …
Carbon capture, utilization and sequestration systems design and operation optimization: Assessment and perspectives of artificial intelligence opportunities
Carbon capture, utilization, and sequestration (CCUS) is a promising solution to
decarbonize the energy and industrial sector to mitigate climate change. An integrated …
decarbonize the energy and industrial sector to mitigate climate change. An integrated …