Optimizing biodiesel production from waste with computational chemistry, machine learning and policy insights: a review

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

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The Effect of Different Mixing Proportions and Different Operating Conditions of Biodiesel Blended Fuel on Emissions and Performance of Compression Ignition Engines

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

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Machine learning approaches to modeling and optimization of biodiesel production systems: State of art and future outlook

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

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Application of computational technologies for transesterification of waste cooking oil into biodiesel

Biomass and Bioenergy, Год журнала: 2025, Номер 194, С. 107620 - 107620

Опубликована: Янв. 18, 2025

Язык: Английский

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Optimization of biodiesel production from rice bran oil by ultrasound and infrared radiation using ANN-GWO

Fuel, Год журнала: 2023, Номер 346, С. 128404 - 128404

Опубликована: Апрель 20, 2023

Язык: Английский

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Optimized biodiesel synthesis from an optimally formulated ternary feedstock blend via machine learning-informed methanolysis using a composite biobased catalyst

Bioresource Technology Reports, Год журнала: 2024, Номер 25, С. 101805 - 101805

Опубликована: Фев. 1, 2024

Язык: Английский

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Data-driven prediction of electrospun nanofiber diameter using machine learning: A comprehensive study and web-based tool development

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

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An anhydride -cured degradable epoxy insulating material exhibiting recyclability, reusability, and excellent electrical performance

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

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pplication of Supervised Machine Learning Models in Biodiesel Production Research - A Short Review

Borneo Journal of Sciences and Technology, Год журнала: 2024, Номер unknown

Опубликована: Янв. 31, 2024

Язык: Английский

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Artificial Intelligence and Nature-Inspired Techniques on Optimal Biodiesel Production: A Review—Recent Trends

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

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