Downloads
Abstract
Currently, Plant X utilizes a feedstock consisting of a mixture of ethane and propane to produce 75,400 kg/h of ethylene. During its operation, by altering the feedstock ratio from 100% propane to a mixture of 50% ethane and 50% Propane, the plant has successfully reduced feedstock procurement costs while still meeting output requirements. However, Plant X has only studied the 50-50 feedstock mixing ratio option based on feedstock prices, leaving other potential feedstock mixing options not yet investigated, which would probably yield higher profits. In this work, different Ethane-Propane ratio mixing scenarios for the feedstock are investigated to achieve improved economic efficiency. This investigation is conducted based on the process modeling within the Ethylene production plant. The study encompasses an overview of the current state of research both domestically and internationally, as well as the foundational technology behind Ethylene production. These technological processes are simulated and modeled using Aspen HYSYS software. Various Ethane-Propane mixing ratios are then simulated to select the optimal approach that meets economic and engineering criteria. The results from this work show that the feedstock mixing ratio of 72% Ethane - 28% Propane yields the maximum efficiency. A practical contribution of this work is to propose an improvement of Ethylene production for Plant X. In addition, since the entire production process has been studied and modeled using the standard workflow of HYSYS, a specical software package, the results and report of this work would be a good technical reference for in-depth researches in the numerical modeling of engineering processes in chemical industry in general, and in particular in petrochemical industry.
Issue: Vol 6 No SI7 (2023): Vol 6 (SI7): Earth sciences and energy resources for sustainable development
Page No.: In press
Published: Apr 25, 2025
Section: Research article
DOI: https://doi.org/10.32508/stdjet.v6iSI7.1277
Online First = 0 times
Total = 0 times
Most read articles by the same author(s)
- Quang Dang Nguyen, Lan Cao Mai, Numerical modeling of CaCO3 mineral scale deposition in oil and gas production well taking into account the effect of fluid dynamics and chemical reaction kinetics , VNUHCM Journal of Engineering and Technology: Vol 4 No SI3 (2021): Special Issue SI3: Earth Resources and Sustainable Ennergy
- Trình Đăng Phạm, Lân Cao Mai, Modeling of 2-phase flow in porous media using physics-informed neural network , VNUHCM Journal of Engineering and Technology: Vol 6 No SI7 (2023): Vol 6 (SI7): Earth sciences and energy resources for sustainable development