A New Approach for Improving Biodiesel Conversion Efficiency: A Stacking Ensemble Model Based on Linear Regression Approach with GAN-Enhanced DOI Creative Commons
Ahmet Karaoğlu, Hüseyin Söyler

Arabian Journal for Science and Engineering, Год журнала: 2025, Номер unknown

Опубликована: Май 13, 2025

Язык: Английский

Biofuel production from palm oil deoxygenation using nickel-molybdenum on zirconia catalyst using glycerol as a hydrogen donor DOI Creative Commons

Nitchakul Hongloi,

Tawsif Rahman, Bijoy Biswas

и другие.

Energy Conversion and Management X, Год журнала: 2024, Номер 24, С. 100781 - 100781

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

4
Kinetics and simulation of biodiesel production using a geopolymer heterogenous catalyst DOI Creative Commons
Pascal Mwenge,

Bulanga Djemima,

Simphiwe Zwane

и другие.

Journal of Environmental Science and Health Part A, Год журнала: 2024, Номер unknown, С. 1 - 13

Опубликована: Ноя. 26, 2024

This work aims to develop a comprehensive kinetic and simulation study of biodiesel production using waste cooking oil (WCO) catalyzed by blast furnace slag geopolymer (BFSG) as heterogeneous catalyst. The investigation was established following the pseudo-first second-order model three reaction parameters, namely, temperature (40–60 °C), time (4–8 h) catalyst ratio (6–14 wt.%), while maintaining constant methanol-to-oil composition 40 wt.%. geopolymer-catalyzed transesterification process simulated ChemCAD version 8.1.0, which incorporates four major triglycerides (triolein, tripalmitin, tristearin triolein) WCO. results WCO in plug flow reactor (PFR) demonstrated good fit data, with an R2 above 0.96 both cases. pseudo-first-order (PFO) revealed more favorable pathway, activation energy 58.876 kJ.mol−1, opposed value 131.369 kJ.mol−1 obtained from pseudo-second-order (PSO) analysis. catalytic activity BFSG yielded maximum conversion 99.18% at 12 wt.% ratio. effectiveness promising low-cost technology for industry.

Язык: Английский

Процитировано

4
Hybrid adaptive network-based fuzzy inference system Model for Biodiesel Production in Renewable System DOI Creative Commons

M. Thirunavukkarasu,

S. Sathish,

V. Rahul

и другие.

E3S Web of Conferences, Год журнала: 2025, Номер 619, С. 01010 - 01010

Опубликована: Янв. 1, 2025

Biodiesel is used which positively impact the environment or reducing dependence on fossil fuels while providing a viable alternative. This paper presents use of machine learning approach, namely adaptive neuro-fuzzy inference system (ANFIS) to optimize and model biodiesel production from combination soya oil waste cooking oil. The effect process parameters catalyst value (5-7 wt. %), Methnol/soya +waste ratio (10-20) , react time (20–40 min) were studied. after optimizing reaction parameters, bio diesel (BDP) 95.8 % was achieved maintaining (CA ) 7wt%, (SW )of 20:1, (RT) 20min. ANFIS models implemented improve these for purpose obtaining maximum output. Consequently, remarkably higher yields 97.9% by CA 7wt%,, SW 10:1 RT 30min.

Язык: Английский

Процитировано

0
A New Approach for Improving Biodiesel Conversion Efficiency: A Stacking Ensemble Model Based on Linear Regression Approach with GAN-Enhanced DOI Creative Commons
Ahmet Karaoğlu, Hüseyin Söyler

Arabian Journal for Science and Engineering, Год журнала: 2025, Номер unknown

Опубликована: Май 13, 2025

Язык: Английский

Процитировано

0