化工学报2026，Vol.77Issue(4)：1896-1904,9.DOI:10.11949/0438-1157.20251120
基于ANN-GA集成的ORC混合工质智能筛选与性能优化
ANN-GA integrated framework for intelligent screening of ORC mixture working fluids and performance optimization
李玲 1庄钰 1刘琳琳 1王超 2都健1
作者信息
- 1. 大连理工大学化工学院,化工系统工程研究所,辽宁大连 116024
- 2. 大连理工大学控制科学与工程学院,辽宁大连 116024
- 折叠
摘要
Abstract
To overcome the challenges of time-consuming screening and incomplete thermophysical property data in selecting mixed working fluids for organic Rankine cycle(ORC)systems,this study proposes an integrated data-driven optimization framework combining artificial neural networks(ANN)and genetic algorithms(GA).The objective is to enable rapid performance evaluation and intelligent selection of optimal mixed working fluids and operating parameters.First,a rigorous thermodynamic model is established using Aspen Plus,and 1600 sets of sample data for five pure working fluids and their binary mixtures are generated using Latin hypercube sampling.Then,a multilayer feedforward ANN model is constructed in MATLAB to achieve high-precision prediction(R2≥0.999)of thermal efficiency(η)and net work per unit(Wnet).Finally,the GA was applied to perform multi-objective optimization,which was transformed into a single-objective form using the weighting coefficient method to determine the optimal working fluids and operating parameters.The results show that R123/R601 achieves a better thermal efficiency(12.76％)when prioritizing thermal efficiency(w1≤0.6),and when prioritizing net work output(w1＞0.6),R601/R245fa becomes the optimal mixture,achieving 61.4 kW with a 26％increase than that of pure working fluids.The proposed ANN-GA integrated framework provides a fast,accurate,and generalizable approach for mixed working fluid optimization,effectively reducing the optimization time and offering a practical tool for future ORC system design.关键词
有机朗肯循环/混合工质/智能筛选/神经网络/多目标优化/计算机模拟/优化设计Key words
ORC/mixture working fluid/intelligent screening/neural networks/multi-objective optimization/computer simulation/optimal design分类
化学化工引用本文复制引用
李玲,庄钰,刘琳琳,王超,都健..基于ANN-GA集成的ORC混合工质智能筛选与性能优化[J].化工学报,2026,77(4):1896-1904,9.
