Application of supervised machine learning and Taylor diagrams for prognostic analysis of performance and emission characteristics of biogas-powered dual-fuel diesel engine DOI Creative Commons
Komarova Le, Minh Thai Duong, Dao Nam Cao

и другие.

International Journal of Renewable Energy Development, Год журнала: 2024, Номер 13(6), С. 1175 - 1190

Опубликована: Окт. 27, 2024

In the ongoing search for an alternative fuel diesel engines, biogas is attractive option. Biogas can be used in dual-fuel mode with as pilot fuel. This work investigates modeling of injecting strategies a waste-derived biogas-powered engine. Engine performance and emissions were projected using supervised machine learning methods including random forest, lasso regression, support vector machines (SVM). Mean Squared Error (MSE), R-squared (R²), Absolute Percentage (MAPE) among criteria evaluations models. Random Forest has shown better Brake Thermal Efficiency (BTE) test R² 0.9938 low MAPE 3.0741%. once more exceeded other models 0.9715 4.2242% estimating Specific Energy Consumption (BSEC). With 0.9821 2.5801% emerged most accurate model according to carbon dioxide (CO₂) emission modeling. Analogous results monoxide (CO) prediction based on obtained 0.8339 3.6099%. outperformed Linear Regression 0.9756% 7.2056% case nitrogen oxide (NOx) emissions. showed constant overall criteria. paper emphasizes how well especially prognosticate engines.

Язык: Английский

Exploring the performance of biodiesel-hydrogen blends with diverse nanoparticles in diesel engine: A hybrid machine learning K-means clustering approach with weighted performance metrics DOI
Osama Khan,

Vakkar Ali,

Mohd Parvez

и другие.

International Journal of Hydrogen Energy, Год журнала: 2024, Номер 78, С. 547 - 563

Опубликована: Июнь 28, 2024

Язык: Английский

Процитировано

10

Current status of research on hydrogen generation, storage and transportation technologies: A state-of-the-art review towards sustainable energy DOI
Gaurav Sharma, Ashok K. Dewangan, Ashok Kumar Yadav

и другие.

Process Safety and Environmental Protection, Год журнала: 2024, Номер 191, С. 1445 - 1460

Опубликована: Авг. 31, 2024

Язык: Английский

Процитировано

10

Enhancing efficiency and environmental impacts of a nano-enhanced oleander biodiesel-biohydrogen dual fuel engine equipped with EGR, through operational parameter optimization using RSM-MOGA technique DOI
Aqueel Ahmad, Ashok Kumar Yadav,

Shifa Hasan

и другие.

International Journal of Hydrogen Energy, Год журнала: 2024, Номер 78, С. 1157 - 1172

Опубликована: Июль 2, 2024

Язык: Английский

Процитировано

9

Feasibility of waste-to-hydrogen generation system based on gasification/pyrolysis: a comprehensive review of experimental studies DOI
Gaurav Sharma, Ashok K. Dewangan, Ashok Kumar Yadav

и другие.

Journal of Thermal Analysis and Calorimetry, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 19, 2024

Язык: Английский

Процитировано

7

Innovative research on waste tire recycling for sustainable biofuel production: Assessment of its usability on multi-cylinder diesel engine employing constant injection of oxyhydrogen and biogas through a premixing device DOI
Ashish Dewangan, Aqueel Ahmad, Ashok Kumar Yadav

и другие.

International Journal of Hydrogen Energy, Год журнала: 2024, Номер 84, С. 155 - 163

Опубликована: Авг. 18, 2024

Язык: Английский

Процитировано

6

K-means clustering optimization of various quantum dots and nanoparticles-added biofuels for engine performance, emission, vibration, and noise characteristics DOI
Faisal Khan, Osama Khan, Mohd Parvez

и другие.

Thermal Science and Engineering Progress, Год журнала: 2024, Номер 54, С. 102815 - 102815

Опубликована: Авг. 23, 2024

Язык: Английский

Процитировано

6

Recycling waste tires into sustainable biofuel for replacing petroleum fuel in diesel engines using nanoparticles and biohydrogen DOI
Ashish Dewangan, Aqueel Ahmad, Ashok Kumar Yadav

и другие.

Environmental Science and Pollution Research, Год журнала: 2024, Номер unknown

Опубликована: Окт. 23, 2024

Язык: Английский

Процитировано

4

Optimisation of performance and emission parameters of a CI engine fuelled with kapok oil methyl ester–turpentine oil blends and diethyl ether additive DOI

Udayakumar Paneerselvam,

G. Kasiraman

Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering, Год журнала: 2025, Номер unknown

Опубликована: Янв. 15, 2025

The article aims to investigate the characteristics of compression ignition (CI) engines fuelled with blends kapok oil methyl ester (KME) and turpentine (TO) inclusion diethyl ether (DEE) as a fuel additive RSM has been used analyse engine characteristics. design matrix is created for 50% 100% loading 30% 70% blending in TO ester. experiment was conducted on water-cooled 5.2 kW CI 30%, 50%, KME blend. According test results, 50–50 have brake thermal efficiency 29.13%. Another designed load range DEE 0% 20% 50 KT blend highest (30.30%) lowest brake-specific energy consumption. emissions carbon monoxide, hydrocarbons, smoke decrease 8.25 g/kWh, 0.13 57%, respectively. combustion process leads peak pressure net heat release rate, which are 72 bar 74.93 kJ/ O CA, outcome 50–50% blends, improved performance reduced emissions.

Язык: Английский

Процитировано

0

Modeling and optimization of biogas production via ultrasonic pretreatment: Assessment of its usability on dual fuel engine powered by waste plastic oil-hydrogen blends DOI
Aqueel Ahmad, Ashok Kumar Yadav,

Achhaibar Singh

и другие.

International Journal of Hydrogen Energy, Год журнала: 2025, Номер 119, С. 271 - 282

Опубликована: Март 23, 2025

Язык: Английский

Процитировано

0

From Detection to Decision: A Systematic Literature Review of AI and Machine Learning Evolution in Methane Modelling DOI
Xu Yang, Abbas Yazdinejad, Hao Wang

и другие.

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0