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註釋Aviation sector contributes with 2% of the total CO2 emissions due to human activities. Moreover, predictions estimate that air traffic will duplicate in the next 20 years, with the corresponding increasing in CO2 emissions. The International Air Transport Association (IATA) has established four strategies to reduce CO2 emissions; one strategy is the development of aviation fuel from renewable feedstocks, known as biojet fuel. In 2009 UOP Honeywell received a patent for its process to produce aviation fuel from renewable feedstocks. The process considers the transformation of vegetable oil through hydrogenating, deoxygenating, isomerizing and selective hydrocracking to generate propane and hydrocarbons fuels. The resulting aviation fuel is very similar to the fossil one, with the only difference that the first one does not contain aromatic compounds. Due to this, the ASTM standard established the use of biojet fuel in mixtures with fossil jet fuel with up to 50% of the bio-fuel. Also, it is important to remark that in this moment the process of UOP Honeywell is the only one certified for the production of aviation fuel from renewable feedstocks. In this work we propose a model for the production of biojet fuel, obtaining an estimation of the conversion of the reactions of the process of UOP Honeywell. Also, the optimization of the purification stage is performed using a multiobjective genetic algorithm with constraints, which is coupled to Aspen Plus process simulator, in order to generate results considering the complete models of the process. Results show a high conversion of the vegetable oil (castor oil) to biofuels (biojet fuel and green diesel); also, energy can be generated in the process as result of the conditioning of the stream that is fed to the distillation train.