Chemical Engineering Science, Journal Year: 2024, Volume and Issue: unknown, P. 121165 - 121165
Published: Dec. 1, 2024
Language: Английский
Chemical Engineering Science, Journal Year: 2024, Volume and Issue: unknown, P. 121165 - 121165
Published: Dec. 1, 2024
Language: Английский
Process Safety and Environmental Protection, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 1, 2025
Language: Английский
Citations
2Biomass and Bioenergy, Journal Year: 2025, Volume and Issue: 194, P. 107620 - 107620
Published: Jan. 18, 2025
Language: Английский
Citations
2Case Studies in Chemical and Environmental Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 101144 - 101144
Published: Feb. 1, 2025
Language: Английский
Citations
2Sustainable Chemistry and Pharmacy, Journal Year: 2025, Volume and Issue: 44, P. 101967 - 101967
Published: Feb. 25, 2025
Language: Английский
Citations
2Journal of environmental chemical engineering, Journal Year: 2025, Volume and Issue: unknown, P. 115485 - 115485
Published: Jan. 1, 2025
Language: Английский
Citations
0Chemical Product and Process Modeling, Journal Year: 2025, Volume and Issue: 20(1), P. 79 - 100
Published: Feb. 1, 2025
Abstract This paper applies an existing advanced model to improve key outputs in the continuous catalytic reforming (CCR) process for Persian Gulf Star Oil Company. Using tools like Aspen Custom Modeler and Plus, we focus on optimizing two main results: Research Octane Number (RON) yield. A design of experiments was conducted examine effects input variables, including reactor temperatures hydrogen-to-hydrocarbon (H₂/HC) ratio, through 256 simulations. Various data fitting methods, Response Surface Methodology (RSM), Radial Basis Function Network (RNLOOCV), Artificial Neural Networks (ANN), were applied describe behavior. The Akaike Information Criterion (AIC)-optimized ANN demonstrated best performance, offering a balanced approach between accuracy complexity. sensitivity analysis revealed that increasing improves RON but reduces yield due enhanced cracking reactions. H₂/HC ratio had minimal impact yield, primarily serving limit catalyst coke formation. Optimization using genetic algorithm confirmed optimal can be achieved within specific temperature ranges. results provide insights enhancing CCR efficiency refinery profitability.
Language: Английский
Citations
0European Journal of Lipid Science and Technology, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 9, 2025
ABSTRACT Biodiesel is a promising green chemical feedstock due to its renewability and sustainability. In this study, bio‐based plasticizers, epoxidized fatty acid isobutyl esters (Ep‐FABEs), were prepared using biodiesel as through combination of transesterification the formic autocatalytic method. The effects reaction temperature, time, FA/C═C molar ratio, H 2 O /C═C ratio on conversion oxirane (RCO) during epoxidation process investigated central composite design. Both response surface methodology (RSM) artificial neural network (ANN) models developed model optimize process. Comparative analysis revealed that ANN demonstrated superior predictive capabilities, with lower mean squared error (MSE), absolute (MAE), higher coefficient determination ( R ) compared RSM model. predicted an RCO 92%, which was closely aligned experimental value 91% under optimized conditions (reaction temperature 66°C, time 6.7 h, 0.35, 2.70). Additionally, physico‐chemical properties Ep‐FABEs further analyzed. These findings provide valuable insights into production plasticizers feedstock.
Language: Английский
Citations
0ACS Omega, Journal Year: 2025, Volume and Issue: 10(7), P. 6827 - 6838
Published: Feb. 16, 2025
Eggshell calcination at 900 °C was used to produce CaO, which afterward impregnated with K and Sr using KNO3 SrCl2·6H2O precursors, diluted in methanol, improve basicity, stability, catalytic activity. The CaO doping K–Sr affected the final catalyst's textural properties, alkalinity, basic strength due K+ Sr2+ size incorporation into lattice. SEM images elemental mapping showed a uniform distribution for K–Sr/CaO catalyst. However, carbonization modified number of sites. fresh catalysts presented 92.5% 46% biodiesel yields, respectively. In third reaction cycle, yield dropped approximately 72% 21%, this sense, method increased sites catalyst, providing higher resistance leaching compared Finally, enhanced conditions were 7.0 wt % catalyst loading, 12.5:1 methanol/oil molar ratio, 70 °C, 1 h time.
Language: Английский
Citations
0Cleaner Chemical Engineering, Journal Year: 2025, Volume and Issue: 11, P. 100158 - 100158
Published: Feb. 23, 2025
Language: Английский
Citations
0International Journal of Green Energy, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 15
Published: Feb. 27, 2025
Biodiesel was synthesized directly from waste oils in a single-step process, eliminating the need for pre-treatment. A solid base catalyst successfully using Spent Bleaching Earth (SBE) as primary support material through wet impregnation method. The synthesis process involved incorporation of potassium hydroxide (KOH) and ammonium ferrous sulfate hexahydrate (NH4)2Fe(SO4)2.6 h2O) to enhance catalytic performance. mixture magnetized under an air atmosphere furnace. Under optimized conditions, transesterification employing 0.15 g magnetic K2SO4/Fe2O3-SBE700 resulted 78.47% biodiesel yield bleached oil. utilized 1:22 ratio oil methanol conducted at 80°C 2 hours. demonstrated excellent activity could be easily recovered separation K2SO4/Fe2O3-SBE700. Physicochemical properties catalyst, oil, were analyzed techniques such BET, FESEM-EDX, TGA, XRD. XRD analysis revealed sharp well-defined peaks indicating presence crystalline structures characteristic K2SO4 (arcanite) Fe2O3 (hematite). This study effectively inorganic components within its associated direct production, thus minimizing generation.
Language: Английский
Citations
0