Distributed parameter modeling and its application in parallel flow condenser optimization design based on genetic algorithm

被引：0

作者：

Gu, B. ^{[1
]}

Tian, Z. ^{[1
]}

Liu, F. ^{[2
]}

Lu, Y. ^{[2
]}

Sun, X. D. ^{[1
]}

Yang, L. ^{[3
]}

机构：

[1] Shanghai Jiao Tong Univ, Inst Refrigerat & Cryogen, Shanghai 200240, Peoples R China

[2] New Energy Vehicle Div SAIC, Shanghai 201804, Peoples R China

[3] Shanghai Jiao Tong Univ, Sch Mech Enginnering, Shanghai 200240, Peoples R China

来源：

HVAC&R RESEARCH | 2014年 / 20卷 / 03期

关键词：

TUBE HEAT-EXCHANGER; EXTRUDED ALUMINUM TUBES; MULTIOBJECTIVE OPTIMIZATION; PRESSURE-DROP; MICRO-FINS; PERFORMANCE; SYSTEM; R-12;

D O I：

10.1080/10789669.2014.889986

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

A parallel flow (PF) condenser with mini-channels is commonly used as a condenser in automobile air-conditioning systems. A distributed parameter model (DPM) for the PF condenser (4 passes with 15, 6, 4, and 3 tube numbers, hydraulic diameter D-h = 1.7mm) was developed based on classical correlations of heat transfer and flow friction. Experiments were performed to investigate the thermal hydraulic performance of PF condenser. The proposed DPM model was verified by experimental data. The optimal design of the PF condenser based on DPM was carried out with heat transfer and pressure drop taken as two objective functions. Genetic algorithm (GA) was utilized to solve the multi-objective problem. The hydraulic diameter and the tube numbers of each pass were chosen as design parameters. Pareto optimal solutions for the PF condenser were obtained. Analyses of variation in hydraulic diameter and tube numbers of the PF condenser are also presented.

引用

页码：351 / 361

页数：11

共 50 条

[1] Modeling and multi-objective optimization of parallel flow condenser using evolutionary algorithm
Sanaye, Sepehr
Dehghandokht, Masoud
APPLIED ENERGY, 2011, 88 (05) : 1568 - 1577
[2] Parallel Distributed Genetic Algorithm for Expensive Multi-Objective Optimization Problems
Szlachcic, Ewa
Zubik, Waldemar
COMPUTER AIDED SYSTEMS THEORY - EUROCAST 2009, 2009, 5717 : 938 - +
[3] Parallel design of intelligent optimization algorithm based on FPGA
Zou, Xiaofu
Wang, Lina
Tang, Yue
Liu, Yilong
Zhan, Shicheng
Tao, Fei
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2018, 94 (9-12) : 3399 - 3412
[4] Adaptive Genetic Algorithm Based Multi-Objective Optimization for Photovoltaic Cell Design Parameter Extraction
Kumari, Ashwini P.
Geethanjali, P.
FIRST INTERNATIONAL CONFERENCE ON POWER ENGINEERING COMPUTING AND CONTROL (PECCON-2017 ), 2017, 117 : 432 - 441
[5] Optimization of the Design Parameter for Standing Wave Thermoacoustic Refrigerator using Genetic Algorithm
Ong, Jing Yuan
King, Yeong Jin
Saw, Lip Huat
Theng, Kai Keng
INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY AND GREEN TECHNOLOGY 2018, 2019, 268
[6] Optimization of landscape garden greening design based on multi objective genetic algorithm
Dong, Xiaopu
JOURNAL OF ELECTRICAL SYSTEMS, 2024, 20 (06) : 226 - 236
[7] An efficient multi-objective optimization approach based on the micro genetic algorithm and its application
G. P. Liu
X. Han
C. Jiang
International Journal of Mechanics and Materials in Design, 2012, 8 : 37 - 49
[8] An efficient multi-objective optimization approach based on the micro genetic algorithm and its application
Liu, G. P.
Han, X.
Jiang, C.
INTERNATIONAL JOURNAL OF MECHANICS AND MATERIALS IN DESIGN, 2012, 8 (01) : 37 - 49
[9] Optimization Design of the Grate Cooler Based on the Power Flow Method and Genetic Algorithms
Ma, Xiaoteng
Cao, Qun
Cui, Zheng
JOURNAL OF THERMAL SCIENCE, 2020, 29 (06) : 1617 - 1626
[10] An improved genetic algorithm in multi-objective optimization and its application
Zhao, Liang
Ju, Gang
Lu, Jian-Hong
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2008, 28 (02): : 96 - 102

← 1 2 3 4 5 →