Journal of Chemical & Engineering Data, Journal Year: 2024, Volume and Issue: 69(8), P. 2878 - 2885
Published: July 17, 2024
Language: Английский
Journal of Chemical & Engineering Data, Journal Year: 2024, Volume and Issue: 69(8), P. 2878 - 2885
Published: July 17, 2024
Language: Английский
Journal of CO2 Utilization, Journal Year: 2025, Volume and Issue: 92, P. 103022 - 103022
Published: Jan. 14, 2025
Language: Английский
Citations
2SPE Journal, Journal Year: 2024, Volume and Issue: 29(11), P. 6530 - 6546
Published: Sept. 20, 2024
Summary Accurate prediction of carbon dioxide (CO2) solubility in brine is crucial for the success capture and storage (CCS) by means geological formations like aquifers. This study investigates effectiveness a novel genetic algorithm-mixed effects random forest (GA-MERF) model estimating CO2 brine. The model’s performance compared with established methods group method data handling (GMDH), backpropagation neural networks (BPNN), traditional thermodynamic models. GA-MERF utilizes experimental collected from literature, encompassing key factors influencing solubility: temperature (T), pressure (P), salinity. These are used to train validate ability predict values. results demonstrate superiority other Notably, achieves high coefficient determination (R) 0.9994 unseen data, indicating strong correlation between estimated actual Furthermore, exhibits exceptionally low error metrics, root mean squared (RMSE) 2×10-8 absolute (MAE) 1.8×10-11, signifying outstanding accuracy Beyond its accuracy, offers an additional benefit—reduced computational time models investigated, 65 seconds. efficiency makes particularly attractive tool real-world applications where rapid reliable predictions critical. In conclusion, this presents as powerful efficient predicting Its superior existing previous literature highlights potential valuable researchers engineers working on CCS projects utilizing aquifer storage. rates, reduced make promising candidate advancing development effective technologies.
Language: Английский
Citations
8Journal of CO2 Utilization, Journal Year: 2024, Volume and Issue: 84, P. 102857 - 102857
Published: June 1, 2024
This study focuses on the equilibrium adsorption of diethyl ketone, a VOC widely used in printing industry, activated carbon supercritical CO2 environment at pressures range 10 MPa to 20 and temperatures between 313 K 353 K, which provides wider data for ketone under different pressure temperature conditions allows comparative analysis with other VOCs. It is found that exceeds methyl ethyl probably due differences their respective affinities volatilities fluid context. The Dubinin-Astakhov model was interpret showed an average relative deviation approximately 3.8 % modeled observed values. Additional parameters influenced by density characteristics performed gain better insight into dynamics contribute design improvement regeneration process.
Language: Английский
Citations
4JOURNAL OF CHEMICAL ENGINEERING OF JAPAN, Journal Year: 2025, Volume and Issue: 58(1)
Published: Jan. 28, 2025
Language: Английский
Citations
0The Journal of Supercritical Fluids, Journal Year: 2025, Volume and Issue: 219, P. 106539 - 106539
Published: Feb. 2, 2025
Language: Английский
Citations
0Chemical Engineering Science, Journal Year: 2025, Volume and Issue: unknown, P. 121352 - 121352
Published: Feb. 1, 2025
Language: Английский
Citations
0Applied Thermal Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 125923 - 125923
Published: Feb. 1, 2025
Language: Английский
Citations
0Fluid Phase Equilibria, Journal Year: 2025, Volume and Issue: unknown, P. 114417 - 114417
Published: March 1, 2025
Language: Английский
Citations
0Journal of Chemical & Engineering Data, Journal Year: 2024, Volume and Issue: 69(8), P. 2878 - 2885
Published: July 17, 2024
Language: Английский
Citations
2