Yield Prediction of Renewable Diesel From Hydrocracking Process as a Function of Pressure and Temperature Using Analytical Semi Empirical Model (ASEM)

Handrianto Wijaya; Bambang Heru Susanto

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Yield Prediction of Renewable Diesel From Hydrocracking Process as a Function of Pressure and Temperature Using Analytical Semi Empirical Model (ASEM)

机译：使用分析半经验模型（ASEM）预测加氢裂化过程中可再生柴油的产量与压力和温度的关系

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The development of renewable fuels from biomass is very rapid, and becomes the main alternative to replace petroleum-derived fuels that are limited in stock. There has been a lot of experiments to optimize the production of renewable diesel, but it takes time, cost and a lot of trial and error in order to produce a good result. On the other hand, optimization using simulation is more cost and time effective. One of the processes in the production of this renewable fuel is hydrocracking. This experiment aims to study the effect of pressure and temperature in the hydrocracking process using the Analytical Semi Empirical Model (ASEM) method in representing the yield of the product. Mathematical models will be modified and validated using data from existing research. The results show that Analytical Semi Empirical Model can be used to predict the yield of product from hydrocracking, with all of the models show R~(2)higher than 0.95 and SSE lower than 3.

机译：由生物质开发可再生燃料的速度非常快，并且已成为替代库存有限的石油衍生燃料的主要替代方法。为了优化可再生柴油的生产，已经进行了许多实验，但是要获得良好的结果，这需要时间，成本和大量的反复试验。另一方面，使用仿真进行优化具有更高的成本和时间效率。生产这种可再生燃料的方法之一是加氢裂化。本实验旨在使用半模拟分析模型（ASEM）方法研究加氢裂化过程中压力和温度对产物收率的影响。数学模型将使用现有研究中的数据进行修改和验证。结果表明，半经验分析模型可用于预测加氢裂化产物的收率，所有模型均显示R〜（2）高于0.95，SSE低于3。

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《E3S Web of Conferences》 |2018年第2期|共5页
作者
Handrianto Wijaya; Bambang Heru Susanto;
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中图分类天文学、地球科学;
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Yield Prediction of Renewable Diesel From Hydrocracking Process as a Function of Pressure and Temperature Using Analytical Semi Empirical Model (ASEM)

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