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

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 or...

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Main Authors:	Wijaya Handrianto, Susanto Bambang Heru
Format:	Article
Language:	English
Published:	EDP Sciences 2018-01-01
Series:	E3S Web of Conferences
Online Access:	https://doi.org/10.1051/e3sconf/20186702019

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spelling	doaj-b77cb5e6312548e1b5c4f078f162132b2021-02-02T00:22:27ZengEDP SciencesE3S Web of Conferences2267-12422018-01-01670201910.1051/e3sconf/20186702019e3sconf_i-trec2018_02019Yield Prediction of Renewable Diesel From Hydrocracking Process as a Function of Pressure and Temperature Using Analytical Semi Empirical Model (ASEM)Wijaya HandriantoSusanto Bambang HeruThe 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 R2 higher than 0.95 and SSE lower than 3.https://doi.org/10.1051/e3sconf/20186702019
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Wijaya Handrianto Susanto Bambang Heru
spellingShingle	Wijaya Handrianto Susanto Bambang Heru Yield Prediction of Renewable Diesel From Hydrocracking Process as a Function of Pressure and Temperature Using Analytical Semi Empirical Model (ASEM) E3S Web of Conferences
author_facet	Wijaya Handrianto Susanto Bambang Heru
author_sort	Wijaya Handrianto
title	Yield Prediction of Renewable Diesel From Hydrocracking Process as a Function of Pressure and Temperature Using Analytical Semi Empirical Model (ASEM)
title_short	Yield Prediction of Renewable Diesel From Hydrocracking Process as a Function of Pressure and Temperature Using Analytical Semi Empirical Model (ASEM)
title_full	Yield Prediction of Renewable Diesel From Hydrocracking Process as a Function of Pressure and Temperature Using Analytical Semi Empirical Model (ASEM)
title_fullStr	Yield Prediction of Renewable Diesel From Hydrocracking Process as a Function of Pressure and Temperature Using Analytical Semi Empirical Model (ASEM)
title_full_unstemmed	Yield Prediction of Renewable Diesel From Hydrocracking Process as a Function of Pressure and Temperature Using Analytical Semi Empirical Model (ASEM)
title_sort	yield prediction of renewable diesel from hydrocracking process as a function of pressure and temperature using analytical semi empirical model (asem)
publisher	EDP Sciences
series	E3S Web of Conferences
issn	2267-1242
publishDate	2018-01-01
description	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 R2 higher than 0.95 and SSE lower than 3.
url	https://doi.org/10.1051/e3sconf/20186702019
work_keys_str_mv	AT wijayahandrianto yieldpredictionofrenewabledieselfromhydrocrackingprocessasafunctionofpressureandtemperatureusinganalyticalsemiempiricalmodelasem AT susantobambangheru yieldpredictionofrenewabledieselfromhydrocrackingprocessasafunctionofpressureandtemperatureusinganalyticalsemiempiricalmodelasem
_version_	1724313977559711744

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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