Sensitivity Analysis and Multi‐Objective Optimization of Oxidative Dehydrogenation of Propane in a Fixed‐bed Reactor over Vanadium/Graphene for Propylene Production

Abstract

Oxidative dehydrogenation of light alkanes is an attractive route for the production of olefins. This method does not need much energy, while common processes such as propane dehydrogenation and cracking require external energy resources and cause rapid catalyst deactivation. In this research, an isothermal one-dimensional model of a fixed-bed reactor was considered for oxidative dehydrogenation of propane over a V 2 O 5 /graphene catalyst. Operational parameter sensitivity analysis showed that high temperature (450-500 °C), high pressure (7-8 atm), a moderate molar propane to air feed ratio (about 0.7), and a low feed flow rate enhanced the propane conversion and propylene productivity. However, for the production of propylene as desirable product, low temperature, low pressure, a high molar ratio, and a high feed flow rate are preferred. Thus, to determine the exact interval of operational parameter values, a multi-objective optimization was performed for the yields of propylene and CO x , revealing a maximum propylene yield of ~40 %. For safety reasons, a feed molar ratio of propane to air of > 0.6 was preferred, which is not in the flammable region.

Optimization and Control of Propylene Production by Metathesis of 2-Butene

“…Reference [8] presents the chemistry of the process. Isomerization (1), cross-metathesis (2), and self-metathesis (3) are the main reactions, which are considered to be reversible. Additionally, cracking (4) occurs.…”

“…Propylene is mainly supplied by naphtha steam crackers and fluid catalytic cracking units. Relatively small amounts are obtained from other olefin processes, which is the reason for the increasing interest in alternative technologies, such as propane dehydrogenation [1], olefin metathesis, the conversion of methanol to propylene, and the cracking of low-value olefins. Studies of 1-butene self-metathesis over a molybdenum catalyst supported on modified silica reported high yields of propylene and ethylene [2].…”

Application of soft computing in maximization of amoxicillin degradation from contaminated water using solar energy

“…[46][47][48][49] Moreover, it could be used for deciding the optimum operating condition of multivarient processes. 50,51 AIbased modelling plays an essential role to develop smart systems in several real-world application fields. These fields include energy, finance, healthcare, agriculture, smart cities, and others.…”

“…Lately, artificial intelligence (AI) has been involved in the modelling and demonstrated its superior efficacy compared with the others conventional approaches specifically to model complicated and nonlinear data 46‐49 . Moreover, it could be used for deciding the optimum operating condition of multivarient processes 50,51 . AI‐based modelling plays an essential role to develop smart systems in several real‐world application fields.…”