TY - JOUR
T1 - Yield Prediction of Renewable Diesel from Hydrocracking Process as a Function of Pressure and Temperature Using Analytical Semi Empirical Model (ASEM)
AU - Wijaya, Handrianto
AU - Susanto, Bambang Heru
N1 - Publisher Copyright:
© The Authors, published by EDP Sciences, 2018.
PY - 2018/11/26
Y1 - 2018/11/26
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85058684034&partnerID=8YFLogxK
U2 - 10.1051/e3sconf/20186702019
DO - 10.1051/e3sconf/20186702019
M3 - Conference article
AN - SCOPUS:85058684034
SN - 2555-0403
VL - 67
JO - E3S Web of Conferences
JF - E3S Web of Conferences
M1 - 02019
T2 - 3rd International Tropical Renewable Energy Conference "Sustainable Development of Tropical Renewable Energy", i-TREC 2018
Y2 - 6 September 2018 through 8 September 2018
ER -
