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

AI Osman, M Nasr, M Farghali, AK Rashwan… - Environmental …, 2024 - Springer
The excessive reliance on fossil fuels has resulted in an energy crisis, environmental
pollution, and health problems, calling for alternative fuels such as biodiesel. Here, we …

Predicting biodiesel properties and its optimal fatty acid profile via explainable machine learning

M Suvarna, MI Jahirul, WH Aaron-Yeap, CV Augustine… - Renewable Energy, 2022 - Elsevier
The accurate prediction of biodiesel fuel properties and determination of its optimal fatty acid
(FA) profiles is a non-trivial process. To this aim, machine learning (ML) based predictive …

Artificial intelligence and machine learning models application in biodiesel optimization process and fuel properties prediction

M Arif, AI Alalawy, Y Zheng, M Koutb, T Kareri… - Sustainable Energy …, 2025 - Elsevier
Inefficient transesterification, low-quality fuel properties, and high resource consumption are
the bottlenecks associated with conventional biodiesel production. The current research …

[HTML][HTML] Experimental study of the use of plastic pyrolysis oil as an additive to improve physicochemical properties and performance rubber seed biodiesel

BH Tambunan, H Ambarita, TB Sitorus… - Case Studies in …, 2024 - Elsevier
The purpose of this study was to determine the effect of using Pyrolysis Plastic Oil (PPO) as
an additive to improve the physicochemical properties and performance of Rubber Seed …

Evaluation of tetradecyl methacrylate-hydroxyethyl methacrylate copolymers and their synergies with other polymeric pour point depressants to improve cold flow …

Y Chen, N Shi, Y Xue, H Lin, J Yan, C Wang… - Industrial Crops and …, 2023 - Elsevier
Blending biodiesel with petrochemical diesel is an effective method to alleviate the global
petrochemical energy shortage, but the application of biodiesel-diesel blends is always …

Modeling the effects of biodiesel chemical composition on iodine value using novel machine learning algorithm

Y Huang, F Li, G Bao, Q Xiao, H Wang - Fuel, 2022 - Elsevier
Biodiesel is a promising renewable energy the use of which facilitates the goals of carbon
neutrality and timely carbon peak. The iodine value (IV), one of the major properties of …

Catalytic cracking of waste cooking oil followed with hydro-isomerization for high-quality biofuel production

X Jiang, F Long, X Cao, J Zhao, P Liu, J Xu - Journal of Cleaner Production, 2022 - Elsevier
Desulfurization and molecular structural modification are critical steps for producing high-
quality biofuel. Here, we demonstrated an efficient and environmentally desulfurization …

Strategic approach for converting fat-rich food waste into high-quality biodiesel using black soldier fly larvae for sustainable bioenergy

JY Kim, G Park, Y Choi, WK Park, B Koo, K Park… - Science of The Total …, 2024 - Elsevier
Food waste (FW) comprises carbohydrates, proteins, lipids, and water, posing technical
challenges for effective treatment and valorisation. This study addresses these challenges …

Fast characterization of biodiesel via a combination of ATR-FTIR and machine learning models

C Chen, R Liang, S Xia, D Hou, B Abdoulaye, J Tao… - Fuel, 2023 - Elsevier
This study proposed a fast characterization method for biodiesel based on attenuated total
reflection flourier-transform infrared spectroscopy and machine learning models. The …

Design of optimal Elman Recurrent Neural Network based prediction approach for biofuel production

NP Kumar, S Vijayabaskar, L Murali, K Ramaswamy - Scientific Reports, 2023 - nature.com
Renewable sources like biofuels have gained significant attention to meet the rising
demands of energy supply. Biofuels find useful in several domains of energy generation …