scholarly journals Simulation basis for a techno-economic evaluation of chitin nanomaterials production process using Aspen Plus® software

Data in Brief ◽  
2018 ◽  
Vol 20 ◽  
pp. 1556-1560 ◽  
Author(s):  
Fatma Larbi ◽  
Araceli García ◽  
Luis J. del Valle ◽  
Ahmed Hamou ◽  
Jordi Puiggalí ◽  
...  
Keyword(s):  
Economic Evaluation ◽  
Production Process ◽  
Aspen Plus

scholarly journals Evaluación de la producción de aceite crudo de palma y palmiste en el norte de Colombia mediante el análisis de exergía asistido por computador

2021 ◽  
Vol 34 (2) ◽  
Author(s):  
Kariana Moreno Sader ◽  
Jeffrey León Pulido ◽  
Ángel González-Delgado
Keyword(s):  
Production Process ◽  
Energy Use ◽  
Exergy Analysis ◽  
Present Report ◽  
Oil Production ◽  
Aspen Plus ◽  
Exergy Efficiency ◽  
Kernel Oil ◽  
Whole Process ◽  
Technological Improvements

Palm production chains in Colombia have some unsatisfied demands that affect their competitiveness. Specific demands include efficiency in energy use. Therefore, in the present report, an exergy analysis for the dual crude palm and kernel oil production process was carried out to determine the main energy sinks and suggest technological improvements that allow better use of energy. For this study, the process was initially simulated in the Aspen Plus ® software, where the chemical and physical exergies of the species and streams involved were quantified. The process irreversibilities, the exergy loss, the exergy of waste, and the exergy of utilities were calculated for each stage and the whole process. An overall exergy efficiency of 18% was achieved, while the highest process irreversibilities contribution was due to the destroyed exergy with the waste in the threshing stage. To increasing the global exergy efficiency of dual crude palm and kernel oil production, it is proposed the evaluation of palm rachis use to obtain biofuels and/or high-value products.

Economic evaluation of typical metal production process: A case study of vanadium oxide production in China

2020 ◽  
Vol 256 ◽  
pp. 120217
Author(s):  
Wenfang Gao ◽  
Zhi Sun ◽  
Hongbin Cao ◽  
He Ding ◽  
Yujiao Zeng ◽  
...  
Keyword(s):  
Economic Evaluation ◽  
Vanadium Oxide ◽  
Production Process ◽  
Metal Production ◽  
Oxide Production

Modelling and analysis for biogas production process simulation of food waste using Aspen Plus

Fuel ◽  
2022 ◽  
Vol 309 ◽  
pp. 122058
Author(s):  
Walter Anaya Menacho ◽  
Abdul Md Mazid ◽  
Narottam Das
Keyword(s):  
Production Process ◽  
Food Waste ◽  
Process Simulation ◽  
Biogas Production ◽  
Aspen Plus

Process Integration and Feedstock Optimisation of a Two-Step Biodiesel Production Process from Jatropha Curcas Using Aspen Plus

2018 ◽  
Vol 14 (2) ◽  
Author(s):  
Adewale George Adeniyi ◽  
Joshua O Ighalo ◽  
Omodele A. A Eletta
Keyword(s):  
Production Process ◽  
Jatropha Curcas ◽  
Fossil Fuels ◽  
Process Integration ◽  
Research Work ◽  
Aspen Plus ◽  
Biodiesel Production ◽  
Surface Plot ◽  
Steady State Simulation ◽  
Numerical Optimisation

Abstract Jatropha curcas oil (JCO) has been recognized as a viable non-edible feedstock for biodiesel production with the focus of achieving lesser reliance on fossil fuels. The aim of this work is to integrate and simulate the production of biodiesel from Jatropha curcas oil by a two-step process; a hydrolysis step and a trans-esterification step. The challenge is then to optimise the feedstock ratios to obtain the minimal water and methanol consumption to give optimal biodiesel yield. For this purpose, steady-state simulation model of a two-step production process of biodiesel from Jatropha curcas oil was prepared using ASPEN Plus V8.8. The response surface methodology (RSM) based on a central composite design (CCD) was used to design optimisation experiments for the research work. From the ANOVA, methanol/oil ratio of the trans-esterification step was found to have a significant effect on the biodiesel yield compared to the water/oil ratio of the hydrolysis step. The linear model developed was shown to be a good predictor of feedstock ratios for biodiesel yield. The surface plot revealed that both feedstock ratios do not show a significant combinatorial effect on each other. Numerical optimisation gave the optimum values of the feedstock ratios as a methanol/oil ratio of 2.667 and a water/oil ratio of 1. The optimisation results also indicated a predicted optimum biodiesel yield of 10.0938 kg/hr.

Sign in / Sign up

Export Citation Format

Share Document