Energy and Production Efficiency Optimization of an Ethylene Plant Considering Process Operation and Structure
Energy and Production Efficiency Optimization of an Ethylene Plant Considering Process Operation and Structure
复制标题
考虑工艺操作和结构的乙烯装置能源和生产效率优化
DOI：
10.1021/acs.iecr.9b05315
复制
发表时间：
2020
影响因子：
4.2
通讯作者：
Zhu Qun-Xiong
中科院分区：
文献类型：
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作者：
Wang Jun;He Yan-Lin;Zhu Qun-Xiong
目前，优化能源和生产效率已成为一个热门的研究领域。本文针对乙烯装置深冷分离系统的工艺操作变量和结构，提出了一种将NSGA-II和遗传算法与人工神经网络相结合的混合多目标优化模型，以提高乙烯装置的生产效率，同时降低总能耗。建立了一种新的多目标混合整数非线性规划模型，用于求解多目标优化的关键决策变量和Pareto前沿。具体而言，建立了温度和相变影响的热容的精确模型，以增强能量需求的估计。此外，去除了对多目标优化影响不大甚至是不良影响的冗余变量，降低了复杂度，进一步提高了性能。为了验证所提出的方法的性能，两个案例研究有关优化工艺操作条件和结构的乙烯装置使用建议MOMINLP进行。仿真结果表明，综合考虑经济循环和能量循环，提高了乙烯装置的整体效益，有效降低了能耗，为在降低能耗的同时提高生产效率提供了一条有效途径。
Nowadays, optimizing the efficiency of energy and production has become a hot research area. In this paper, a hybrid multiobjective optimization model integrating NSGA-II and the genetic algorithm with artificial neural network is proposed to improve the production efficiency while reducing the total energy consumption of an ethylene plant incorporating process operating variables and structure in the cryogenic separation system. A novel multiobjective mix-integer nonlinear programming (MOMINLP) model is built to obtain key decision variables and the Pareto frontier of multiobjective optimization. Specifically, an accurate model of the heat capacity affected by the temperature and phase changes is established to enhance the estimation of energy requirements. In addition, redundant variables with little effect or even bad influences on multiobjective optimization are removed, which reduces complexity and further improves performance. To verify the performance of the proposed methodology, two case studies concerning optimizing the process operating conditions and structure of an ethylene plant using the proposed MOMINLP are carried out. Simulation results show that the overall profits of the ethylene plant are improved and the energy consumption is effectively reduced by taking the economic and energy cycles into consideration, which indicates that the proposed methodology can provide an effective way to improving production efficiency while reducing the energy consumption.