The balance of contradictory factors in the selection of biodiesel and jet biofuels on algae fixation of flue gas

The purpose would discover the impacts of the contradictory factors in application of algae in CO2 sequestration with sustainable biofuel benefit. Based on LCA approach, the quantitively AI assessment model and approach have been established coupling upstream CO2 source and downstream algal product at the uniform algae level of Nannochloropsis oceanica, which would benefit for algae biofuel deliverables choice. The AI model investigated the effects of interaction factors on the energy consumption, including transportation distances with purification modes coupling with CO2 concentration in flue gas, lipid content with specific productivity coupling the nutrient supply, refining process with final products. Computational framework of AI model is classified into three sub-models, including CO2 capture and purification model, algae cultivation and harvesting model, refining process and biofuel product model. According to uncertainty analysis by AI model, the positive energy gains have been conducted at a wide range of lipid contents despite of jet biofuel or biodiesel coupling solar energy utilization and by-product of bioactive nutrients effects. Biodieselwet and HTL-HRJ jet biofuel performed the priorities in energy consumption in three pathways of jet biofuel and three pathways of biodiesels. The allocation analysis confirmed that algae biofuel will be promising in the direction of cultivating appropriate algae for the target biofuel product requirement and enhancing by-product recovery. The results would enhance the interests in both LCA and CO2 sequestration with sustainable biofuel benefit.