Increasing reservations about the mass consumption of fossil fuels because of their hazardous impact on ecosystem has led to an increased focus to look for renewable alternative. In the last decade, much research is made on production of biodiesel for blending with diesel to reduce diesel consumption in the transport sector. Studies suggest that biofuel do not provide any harm to environment because of their availability from natural resources. Biofuel production and its further utilization requires identifying unknown parameters having nonlinear relationships with each other. Accurate and better predictive tools are required at different stages during its usage. AI technique is one such tool that can provide support during production and utilization. The technique is utilized in designing, monitoring, predicting, decision making and optimizing systems. The present research investigates the areas of AI usage which makes use of models for designing better production strategies, accurate prediction of biofuel properties through machine learning tools. The concept used is similar with brain’s autolearning phenomena where system improves on its own and take better decisions for each problem it faces. The research will present a review of this AI application taking help from literature from year 2012 to 2024 to make decision for taking suitable action with the analyzed cases in literature. Findings of the study suggests AI will play a major role in the near future and a strong demand will be seen for AI application in this evolving area.
Kumar et al. (Thu,) studied this question.