Chemometrics and Intelligent Laboratory Systems, Год журнала: 2025, Номер unknown, С. 105391 - 105391
Опубликована: Апрель 1, 2025
Язык: Английский
Environmental Chemistry Letters, Год журнала: 2024, Номер 22(3), С. 1005 - 1071
Опубликована: Фев. 13, 2024
Abstract The excessive reliance on fossil fuels has resulted in an energy crisis, environmental pollution, and health problems, calling for alternative such as biodiesel. Here, we review computational chemistry machine learning optimizing biodiesel production from waste. This article presents techniques, characteristics, transesterification, waste materials, policies encouraging Computational techniques are applied to catalyst design deactivation, reaction reactor optimization, stability assessment, feedstock analysis, process scale-up, mechanims, molecular dynamics simulation. Waste comprise cooking oil, animal fat, vegetable algae, fish waste, municipal solid sewage sludge. oil represents about 10% of global production, restaurants alone produce over 1,000,000 m 3 annual. Microalgae produces 250 times more per acre than soybeans 7–31 palm oil. Transesterification food lipids can with a 100% yield. Sewage sludge significant biomass that contribute renewable production.
Язык: Английский
Процитировано
55
Biomass and Bioenergy, Год журнала: 2025, Номер 194, С. 107620 - 107620
Опубликована: Янв. 18, 2025
Язык: Английский
Процитировано
2
Fuel, Год журнала: 2023, Номер 346, С. 128404 - 128404
Опубликована: Апрель 20, 2023
Язык: Английский
Процитировано
41
Energies, Год журнала: 2024, Номер 17(2), С. 344 - 344
Опубликована: Янв. 10, 2024
Faced with the depletion of fossil fuels and increasingly serious environmental pollution, finding an environmentally friendly renewable alternative fuel has become one current research focuses. In order to find new fuels, reduce dependence on improve air quality, promote sustainable development goals, castor biodiesel was produced through transesterification, mixed diesel in a certain proportion. The engine performance emissions were compared analyzed under fixed load different speeds agricultural engines. Biofuel, as containing oxygen, promotes complete combustion extent. As proportion increases, pollutants such CO, HC, smoke show decreasing trend. lowest observed B80 blend at 1800 rpm, 0.3%, 23 ppm, 3%, respectively. On contrary, CO2 NOx are higher than those 2.7 diesel, reaching 2.5% 332 ppm respectively rpm. lower calorific value viscosity result decrease BTE increase BSFC blends. Higher temperatures high oxidation reactions, resulting reduced emissions, but increased emissions. At speeds, consumption decreases. Overall, similar physical chemical properties can be for use CI engines, making it excellent fuel.
Язык: Английский
Процитировано
17
Energy Conversion and Management X, Год журнала: 2024, Номер 23, С. 100669 - 100669
Опубликована: Июль 1, 2024
One of the main limitations to economic sustainability biodiesel production remains high feedstock cost. Modeling and optimization are crucial steps determine if processes (esterification transesterification) involved in economically viable. Phenomenological or mechanistic models can simulate processes. These methods have been used manage processes, but their broad use has constrained by computational complexity numerical difficulties. Therefore, it is necessary quick, effective, accurate, resilient modeling methodologies regulate such complex systems. Data-driven machine-learning (ML) techniques offer a potential replacement for conventional deal with nonlinear, unpredictable, complex, multivariate nature Artificial neural networks (ANN) adaptive neuro-fuzzy inference systems (ANFIS) most often utilized ML tools research. To effectively attain maximum yield, suitable based on nature-inspired algorithms need be integrated these obtain best possible combination various operating variables. Future research should focus utilizing approaches monitoring managing increase effectiveness promote commercial feasibility. Thus, review discusses optimizing
Язык: Английский
Процитировано
17
Bioresource Technology Reports, Год журнала: 2024, Номер 25, С. 101805 - 101805
Опубликована: Фев. 1, 2024
Язык: Английский
Процитировано
14
Results in Engineering, Год журнала: 2024, Номер 24, С. 102826 - 102826
Опубликована: Сен. 3, 2024
Electrospinning has emerged as a versatile technique for fabricating polymer nanofibers with diameters ranging from tens to hundreds of nanometers. Precisely controlling and predicting the nanofiber diameter is crucial various applications. The complex interplay multiple electrospinning parameters presents significant challenge in this endeavor. This study introduces novel data-driven approach using machine learning (ML) predict optimize electrospun nanofibers. A comprehensive dataset approximately 430 data points was compiled literature sources, including properties process parameters. Six ML algorithms were evaluated: Decision Tree (DT), Extra Trees Regression (ETR), Kernel Ridge (KRR), Random Forest (RF), Support Vector (SVR), eXtreme Gradient Boosting (XGB). 75/25 train-test split selected optimal model evaluation, 10-fold cross-validation employed hyperparameter tuning estimating variability performance metrics. RF ETR demonstrated best predictive accuracy, R2 values 0.9468 0.9421, RMSE 92.3 nm 96.1 nm, respectively, on test set. Feature importance analysis SHapley Additive exPlanations (SHAP) revealed that concentration, applied voltage, feed rate significantly influence diameter, which further elucidated by partial dependence plots. To facilitate accessibility collaboration, an interactive web server called ENDP developed, allowing users input diameter. showcases potential guiding design optimization nanofibers, providing valuable insights tailoring their into specific
Язык: Английский
Процитировано
12
Green Chemistry, Год журнала: 2024, Номер 26(4), С. 2258 - 2268
Опубликована: Янв. 1, 2024
We synthesized a high-performance epoxy insulating material that can be recycled and reused using triethanolamine as transesterification catalyst co-accelerator. The new physically recovered through hot-pressing regenerated via chemical degradation.
Язык: Английский
Процитировано
9
Borneo Journal of Sciences and Technology, Год журнала: 2024, Номер unknown
Опубликована: Янв. 31, 2024
Язык: Английский
Процитировано
9
Energies, Год журнала: 2025, Номер 18(4), С. 768 - 768
Опубликована: Фев. 7, 2025
Humanity has consumed large amounts of energy in recent decades. Energy requirements increase continuously, and fossil fuel overuse pollutes the environment extremely. The researchers turned their attention to alternative solutions, such as renewable sources fuels, which reduce negative emissions. At same time, biodiesel is produced from environmentally friendly raw materials a competitive with acceptable properties. scientific community investigates new approaches further improve physicochemical properties more economical ways. Artificial intelligence nature-inspired techniques are particularly capable searching for optimal fuels complex optimization fields. current study concerns review production based on evolutionary computation methods. These methods lead innovative development, costing less lower sulfur content. Except economic profits, reduction environmental emissions praxis confirms appropriateness consumption than blends. algorithms’ accuracy effectiveness were evaluated various case studies detailed results offered every publication. laboratories tested common engines too. In literature, there exists gap relation financial aspects production, should also be investigated.
Язык: Английский
Процитировано
1