Machine learning applications in catalytic hydrogenation of carbon dioxide to methanol: A comprehensive review
EG Aklilu, T Bounahmidi - International Journal of Hydrogen Energy, 2024 - Elsevier
The catalytic hydrogenation of carbon dioxide (CO 2) to methanol presents a significant
opportunity for both mitigating climate change and producing a valuable chemical feedstock …
opportunity for both mitigating climate change and producing a valuable chemical feedstock …
Dynamic real-time energy saving control of pressure-swing distillation based on artificial neural networks
H Li, W Wang, Y Wang, C Li, Y Wang, Z Zhu… - Chemical Engineering …, 2023 - Elsevier
Parameter variation can increase economic costs and energy consumption in distillation
process when disturbances occur. In this work, a dynamic optimization control model based …
process when disturbances occur. In this work, a dynamic optimization control model based …
Optimisation of methanol distillation using GA and neural network hybrid
Distillation is an energy-intensive non-stationary process represented using non-linear
model equations and involves multiple objectives. For such processes, data-based multi …
model equations and involves multiple objectives. For such processes, data-based multi …
Accelerating active catalyst discovery: a probabilistic prediction-based screening methodology with applications in dry reforming of methane
Dry reforming of methane (DRM) is a promising technology for syngas production from CH4
and CO2. However, discovering feasible and efficient catalysts remains challenging despite …
and CO2. However, discovering feasible and efficient catalysts remains challenging despite …
Grey‐box modelling for estimation of optimum cut point temperature of crude distillation column
A grey‐box modelling framework was developed for the estimation of cut point temperature
of a crude distillation unit (CDU) under uncertainty in crude composition and process …
of a crude distillation unit (CDU) under uncertainty in crude composition and process …
Novel natural gradient boosting-based probabilistic prediction of physical properties for polypropylene-based composite data
Accurately predicting the physical properties of polypropylene composites is challenging
because they are highly complex due to the numerous combinations of materials used in …
because they are highly complex due to the numerous combinations of materials used in …
A genetic algorithm-based optimal selection and blending ratio of plastic waste for maximizing economic potential
Pyrolysis of plastic waste presents an innovative solution to convert plastics into valuable
fuels like oil and gas, thereby contributing to circular economy and sustainability. The …
fuels like oil and gas, thereby contributing to circular economy and sustainability. The …
Hyperparameter Optimization of the Machine Learning Model for Distillation Processes
KC Oh, H Kwon, SY Park, SJ Kim… - International Journal of …, 2024 - Wiley Online Library
This study was conducted to enhance the efficiency of chemical process systems and
address the limitations of conventional methods through hyperparameter optimization …
address the limitations of conventional methods through hyperparameter optimization …
Development of AI-based process controller of sour water treatment unit using deep reinforcement learning
H Wang, Y Guo, L Li, S Li - Journal of the Taiwan Institute of Chemical …, 2024 - Elsevier
Background Due to the variability in the feedstock conditions and the nonlinearity of the sour
water strip** process, determining the optimal operating conditions for Sour Water …
water strip** process, determining the optimal operating conditions for Sour Water …
Artificial intelligence models for yield efficiency optimization, prediction, and production scalability of essential oil extraction processes from citrus fruit exocarps
SE Fajardo Muñoz, AJ Freire Castro… - Frontiers in Chemical …, 2023 - frontiersin.org
Introduction: Excessive demand, environmental problems, and shortages in market-leader
countries have led the citrus (essential) oil market price to drift to unprecedented high levels …
countries have led the citrus (essential) oil market price to drift to unprecedented high levels …