Emerging trends of electrocatalytic technologies for renewable hydrogen energy from seawater: Recent advances, challenges, and techno-feasible assessment
Hydrogen has been regarded as a promising renewable and green energy source to meet
energy needs and attain net-zero carbon emissions. The electrolysis of seawater to make …
energy needs and attain net-zero carbon emissions. The electrolysis of seawater to make …
Life cycle assessment of microalgal biorefinery: A state-of-the-art review
Microalgal biorefineries represent an opportunity to economically and environmentally justify
the production of bioproducts. The generation of bioproducts within a biorefinery system …
the production of bioproducts. The generation of bioproducts within a biorefinery system …
[HTML][HTML] Energy transition technology comes with new process safety challenges and risks
This paper intends to give an impression of new technologies and processes that are in
development for application to achieve decarbonization, and about which less or no …
development for application to achieve decarbonization, and about which less or no …
Challenges and opportunities in carbon capture, utilization and storage: A process systems engineering perspective
Carbon capture, utilization, and storage (CCUS) is a promising pathway to decarbonize
fossil-based power and industrial sectors and is a bridging technology for a sustainable …
fossil-based power and industrial sectors and is a bridging technology for a sustainable …
Process modeling, techno-economic assessment, and life cycle assessment of the electrochemical reduction of CO2: a review
The electrochemical reduction of CO 2 has emerged as a promising alternative to traditional
fossil-based technologies for the synthesis of chemicals. Its industrial implementation could …
fossil-based technologies for the synthesis of chemicals. Its industrial implementation could …
Advanced electrocatalytic technologies for conversion of carbon dioxide into methanol by electrochemical reduction: Recent progress and future perspectives
The need for energy has skyrocketed since the industrial revolution, leading to an increase
in atmospheric CO 2 concentration. Therefore, developing and implementing effective …
in atmospheric CO 2 concentration. Therefore, developing and implementing effective …
Physics-informed neural networks for hybrid modeling of lab-scale batch fermentation for β-carotene production using Saccharomyces cerevisiae
Abstract β-Carotene has a positive impact on human health as a precursor of vitamin A.
Building a kinetic model for its production using Saccharomyces cerevisiae in a batch …
Building a kinetic model for its production using Saccharomyces cerevisiae in a batch …
One step forward for smart chemical process fault detection and diagnosis
X Bi, R Qin, D Wu, S Zheng, J Zhao - Computers & Chemical Engineering, 2022 - Elsevier
Process fault detection and diagnosis (FDD) is an essential tool to ensure safe production in
chemical industries. After decades of development, despite the promising performance of …
chemical industries. After decades of development, despite the promising performance of …
[HTML][HTML] Maximizing information from chemical engineering data sets: Applications to machine learning
It is well-documented how artificial intelligence can have (and already is having) a big
impact on chemical engineering. But classical machine learning approaches may be weak …
impact on chemical engineering. But classical machine learning approaches may be weak …
Next generation pure component property estimation models: With and without machine learning techniques
Physiochemical properties of pure components serve as the basis for the design and
simulation of chemical products and processes. Models based on the molecular structural …
simulation of chemical products and processes. Models based on the molecular structural …