Yu Yajie, Xia Shaojun, Zhao Ming
College of Power Engineering, Naval University of Engineering, Wuhan 430033, China.
Entropy (Basel). 2022 May 7;24(5):660. doi: 10.3390/e24050660.
The use of olefin oligomerization in the synthesis of liquid fuel has broad application prospects in military and civil fields. Here, based on finite time thermodynamics (FTT), an ethylene oligomerization chemical process (EOCP) model with a constant temperature heat source outside the heat exchanger and reactor pipes was established. The process was first optimized with the minimum specific entropy generation rate (SEGR) as the optimization objective, then multi-objective optimization was further performed by utilizing the NSGA-II algorithm with the minimization of the entropy generation rate (EGR) and the maximization of the CH yield as the optimization objectives. The results showed that the point of the minimum EGR was the same as that of SEGR in the Pareto optimal frontier. The solution obtained using the Shannon entropy decision method had the lowest deviation index, the CH yield was reduced by 49.46% compared with the point of reference and the EGR and SEGR were reduced by 59.01% and 18.88%, respectively.
烯烃齐聚在液体燃料合成中的应用在军事和民用领域具有广阔的应用前景。在此，基于有限时间热力学（FTT），建立了一种在热交换器和反应器管道外部具有恒温热源的乙烯齐聚化学过程（EOCP）模型。该过程首先以最小比熵产生率（SEGR）为优化目标进行优化，然后利用NSGA-II算法以熵产生率（EGR）最小化和CH产率最大化作为优化目标进一步进行多目标优化。结果表明，在帕累托最优前沿中，最小EGR点与SEGR点相同。使用香农熵决策方法获得的解具有最低的偏差指数，与参考点相比，CH产率降低了49.46%，EGR和SEGR分别降低了59.01%和18.88%。
