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Assessment of ethanol autoxidation as a drop-in kerosene and surrogates blend with a new modelling approach

机译:评估乙醇自动氧化作为煤油的滴落和替代品与新的建模方法混合

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摘要

Bioethanol has been considered as a more sustainable alternative for fossil fuels, and it has been used as a drop-in fuel mixture. In this paper, the autoxidation properties of real kerosene as well as single, binary and ternary surrogates with the presence of ethanol are investigated for the first time. A simplified python code is proposed to predict the pressure drop of the PetroOXY method that was used for assessing the fuel autoxidation properties. The experimental results show that the addition of an ethanol concentration reduces the induction period of real kerosene while increasing that of surrogate mixtures. Also, the maximum pressure during the PetroOXY test increases with the increase of ethanol concentration. The model is able to predict the induction period of ethanol accurately by employing an automated reaction mechanism generator. A strategy to increase the autoxidation stability of ethanol by adding 1 g/L antioxidant has been evaluated. The efficiency of the antioxidants for ethanol is in the following order: PY > Decalin > DTBP > Tetralin > BHT > MTBP > BHA > TBHQ > PG.
机译:生物乙醇被认为是化石燃料的更可持续的替代品,它已被用作燃料混合物。本文首次研究了真正煤油的自氧化性能以及具有乙醇存在的单一,二元和三元孕产物。提出了一种简化的Python代码以预测用于评估燃料自氧化特性的汽油氧基方法的压降。实验结果表明,加入乙醇浓度降低了真正煤油的诱导期,同时增加了替代混合物的诱导期。而且,汽油氧基试验期间的最大压力随着乙醇浓度的增加而增加。通过采用自动反应机构发生器,该模型能够准确地预测乙醇的诱导期。已经评估了通过加入1g / L抗氧化剂增加乙醇自动氧化稳定性的策略。乙醇的抗氧化剂的效率是以下顺序:PY>癸蛋白> DTBP>四口> BHT> MTBP> BHA> TBHQ> PG。

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