[HTML][HTML] Integration of LCA, TEA, Process Simulation and Optimization: A systematic review of current practices and scope to propose a framework for pulse …

J Ferdous, F Bensebaa, N Pelletier - Journal of Cleaner Production, 2023 - Elsevier
It is now common practice to conduct either a life cycle assessment (LCA) or techno-
economic analysis (TEA) to assess the feasibility and sustainability profiles of specific …

Life-cycle and techno-economic assessment of early-stage carbon capture and utilization technologies—a discussion of current challenges and best practices

AW Zimmermann, T Langhorst, S Moni… - Frontiers in …, 2022 - frontiersin.org
The mitigation of climate change requires research, development, and deployment of new
technologies that are not only economically viable but also environmentally benign …

Assessment of Advanced Machine and Deep Learning Approaches for Predicting CO2 Emissions from Agricultural Lands: Insights Across Diverse Agroclimatic Zones

E Harsányi, M Mirzaei, S Arshad, F Alsilibe… - Earth Systems and …, 2024 - Springer
Prediction of carbon dioxide (CO2) emissions from agricultural soil is vital for efficient and
strategic mitigating practices and achieving climate smart agriculture. This study aimed to …

Forestry based products as climate change solution: Integrating life cycle assessment with techno-economic analysis

Z Vazifeh, F Bensebaa, J Shadbahr… - Journal of …, 2023 - Elsevier
This study establishes an integrated life cycle analysis and techno-economic assessment to
evaluate costs and carbon footprint impacts of an integrated forest biorefinery that produces …

Prediction of nitrogen solubility in ionic liquids by machine learning methods based on COSMO-derived descriptors

Y Tian, X Wang, Y Liu, W Hu - Chemical Engineering Science, 2024 - Elsevier
The inertness of nitrogen (N 2) results in extremely low N 2 solubility in most solvents.
However, in some important reactions, such as the nitrogen reduction reaction (NRR) driven …

Mg-Al layered double hydroxides modified by 2, 4, 6-trimercapto-s-triazine for effective removal heavy metals from soil

J Su, M Zhao, Z Zhao, L Sun, Z Meng - Chemical Engineering Science, 2024 - Elsevier
Abstract Since 2, 4, 6-trimercapto-s-triazine (TMT) possesses advantages of multiple
adsorption sites and strong binding ability with heavy metals, in this study, layered double …

Mitigating Grand Challenges in Life Cycle Inventory Modeling through the Applications of Large Language Models

Q Tu, J Guo, N Li, J Qi, M Xu - Environmental Science & …, 2024 - ACS Publications
The accuracy of life cycle assessment (LCA) studies is often questioned due to the two
grand challenges of life cycle inventory (LCI) modeling:(1) missing foreground flow data and …

Digital technologies for life cycle assessment: a review and integrated combination framework

M Popowicz, NJ Katzer, M Kettele, JP Schöggl… - … International Journal of …, 2024 - Springer
Purpose Companies need to enhance their understanding of the environmental impacts of
their products and services. Life cycle assessment (LCA) has become a prevalent method …

Artificial intelligence applied to truck emissions reduction: A novel emissions calculation model

AR de Sousa Sampaio, DG de Barros Franco… - … Research Part D …, 2025 - Elsevier
Meeting climate targets requires robust carbon reduction strategies, particularly in the
context of road transportation. This study presents a predictive model that integrates CO 2 …

Develo** a two-grade model for the thermal conductivity of ionic liquids and their mixtures

C Wang, X Wei, X **, J Li, M He - Chemical Engineering Science, 2024 - Elsevier
Thermal conductivity (λ) is a crucial factor in the screening and design of ionic liquids (ILs)
with desired thermal properties. Given the time consumption and computational …