一个预测性能量适应性遗传算法,用于优化DMR液化过程
Xiao Wu1,2, Chao Yang3, Yinfei Chen1
1Shandong Institute of Petroleum and Chemical Technology, Dongying 257061, China.
ACS omega
|September 22, 2025
概括
本研究介绍了天然气液化的智能优化策略,提高能源效率和减少消耗. 预测力-适应性遗传算法增强了双重混合制冷剂过程.
科学领域:
- 化学工程是化学工程的重要组成部分.
- 热力学是一种热力学.
- 人工智能的人工智能
背景情况:
- 全球日益增长的能源需求需要提高工业过程的效率.
- 双混合制冷剂 (DMR) 天然气液化工艺存在复杂的优化挑战,原因是合的参数.
- 传统的优化方法在DMR过程中难以实现全局优化.
研究的目的:
- 为DMR过程开发一个智能优化策略.
- 将运动分析与机器学习相结合,以提高流程优化.
- 调查关键操作参数对能源消耗和能量效率的影响.
主要方法:
- 为DMR过程开发一个详细的Aspen HYSYS模拟.
- 将运动分析与预测性运动适应性遗传算法 (PEA-GA) 的整合.
- 利用辐射基函数 (RBF) 神经网络来加速优化搜索.
主要成果:
- 优化方案使特定能耗 (SEC) 从0.281到0.252千瓦时/千克LNG降低.
- 运动效率从31.62%提高到35.45%.
- 在热交换器中显著减少最小温度差异,改善复合曲线匹配.
结论:
- PEA-GA战略有效地优化了DMR流程,以节省能源.
- 这些发现为液化天然气设施的节能改造提供了理论指导.
- 智能操作策略可以显著提高液化工厂的性能.
更多相关视频
10:37Procedure to Evaluate the Efficiency of Flocculants for the Removal of Dispersed Particles from Plant Extracts
Published on: April 9, 2016
9.3K
06:00Optimization of the Epimedii Folium Mutton-Oil Processing Technology and Testing Its Effect on Zebrafish Embryonic Development
Published on: March 17, 2023
847
相关概念视频
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
292
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
292
Olefin Metathesis Polymerization: Acyclic Diene Metathesis (ADMET)
2.2K
Acyclic diene metathesis polymerization or ADMET polymerization involves cross-metathesis of terminal dienes, such as 1,8-nonadiene, to give linear unsaturated polymer and ethylene. As ADMET is a reversible process, the formed ethylene gas must be removed from the reaction mixture to complete the polymerization process.
Similar to cross-metathesis, ADMET also involves the formation of metallacyclobutane intermediate by [2+2] cycloaddition of one of the double bonds of a terminal diene with...
Similar to cross-metathesis, ADMET also involves the formation of metallacyclobutane intermediate by [2+2] cycloaddition of one of the double bonds of a terminal diene with...
2.2K
Response Surface Methodology
609
Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
The process of RSM involves several key steps:
609
