optimizing the synthesis of biodiesel from jojoba oil using computational methods

Objectivesdifferent countries are interested in jojoba seed as a possible new energy source because it can grow well in harsh conditions like extreme weather, salty water, deserts, and high temperatures. biodiesel is a fuel that can be used in motor engines, stoves, and home heating oil systems. it is recyclable, biodegradable, and safe. a cleaner-burning substitute for diesel fuel derived from petroleum, it is manufactured from animal fats, recycled cooking grease, or vegetable oils. biodiesel (bd) is made in this study using jojoba oil under pressure. the inherent huge parallelism of neural networks (nns) makes them a promising optimization tool. commercial biodiesel production that is both efficient and environmentally friendly needs ai-powered process modelling and optimization.materials and methodspredicting the ideal process parameters for biodiesel synthesis from jojoba oil was accomplished using artificial neural network-genetic algorithm (ann-ga). with the help of the integrated artificial neural network - genetic algorithm (iann-ga), this study aims to improve the transesterification process for changing hyper critical methanol (hcm) into bd. the temperature range for iann-ga optimization was 240–355°c, and the time range was set to 7–21 minutes.resultsthe primary composite design (pcd) for ann modelling was used to create the initial studies. the best ann structure with the right number of concealed neurons was found using a heuristic evaluation of the coefficient of determination (r) values. the r values obtained for training and testing demonstrate the high accuracy of the ann framework.conclusionsthe process variables for hcm transesterification have been optimized using ga with an ann as the fitness coefficient. when taken as a whole, the findings demonstrated that ann-ga is superior to the model that had been provided before, and that it is a trustworthy modeling and optimization approach for the manufacture of biodiesel from jojoba oil that is both practical and sustainable.

optimizing the synthesis of biodiesel from jojoba oil using computational methods

objectivesdifferent countries are interested in jojoba seed as a possible new energy source because it can grow well in harsh conditions like extreme weather, salty water, deserts, and high temperatures. biodiesel is a fuel that can be used in motor engines, stoves, and home heating oil systems. it is recyclable, biodegradable, and safe. a cleaner-burning substitute for diesel fuel derived from petroleum, it is manufactured from animal fats, recycled cooking grease, or vegetable oils. biodiesel (bd) is made in this study using jojoba oil under pressure. the inherent huge parallelism of neural networks (nns) makes them a promising optimization tool. commercial biodiesel production that is both efficient and environmentally friendly needs ai-powered process modelling and optimization.materials and methodspredicting the ideal process parameters for biodiesel synthesis from jojoba oil was accomplished using artificial neural network-genetic algorithm (ann-ga). with the help of the integrated artificial neural network - genetic algorithm (iann-ga), this study aims to improve the transesterification process for changing hyper critical methanol (hcm) into bd. the temperature range for iann-ga optimization was 240–355°c, and the time range was set to 7–21 minutes.resultsthe primary composite design (pcd) for ann modelling was used to create the initial studies. the best ann structure with the right number of concealed neurons was found using a heuristic evaluation of the coefficient of determination (r) values. the r values obtained for training and testing demonstrate the high accuracy of the ann framework.conclusionsthe process variables for hcm transesterification have been optimized using ga with an ann as the fitness coefficient. when taken as a whole, the findings demonstrated that ann-ga is superior to the model that had been provided before, and that it is a trustworthy modeling and optimization approach for the manufacture of biodiesel from jojoba oil that is both practical and sustainable.