Numerical optimization of a highly loaded compressor in semi-closed cycles using neural networks and genetic algorithms-Reference-Cited by-同舟云学术

Numerical optimization of a highly loaded compressor in semi-closed cycles using neural networks and genetic algorithms

Published:2015-10-13 Issue:2 Volume:6 Page:232-250
ISSN:2152-3878
Container-title:Greenhouse Gases: Science and Technology
language:en
Short-container-title:Greenhouse Gas Sci Technol

Author:

Li Bo¹,Gu Chun-wei¹

Affiliation:

1. Tsinghua University and Collaborative Innovation Center of Advanced Aero-Engine; Beijing China

Publisher

Wiley

Subject

Environmental Chemistry,Environmental Engineering

Reference41 articles.

1. Re-emergence of distributed generation in electric power systems: incentives, values and issues;Akorede;Energ Environ,2010

2. Aerodynamic performance and characteristic of vortex structures for Darrieus wind turbine. I. Numerical method and aerodynamic performance;Xiaojing;Journal of Renewable and Sustainable Energy,2014

3. Research on Energy Extraction Characteristics of an Adaptive Deformation Oscillating-Wing;Bing;Journal of Renewable and Sustainable Energy,2015

4. Efficient CO2 capture through a combined steam and CO2 gas turbine cycle;Ruyck;Energy Conversion and Management,1992

5. Thermodynamic analysis and performance optimization of an Organic Rankine Cycle (ORC) waste heat recovery system for marine diesel engines;Jian;Energy,2015

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Numerical Study on Local Entropy Production Mechanism of a Contra-Rotating Fan;Entropy;2023-09-03

2. Intelligent assignation strategy of collaborative optimization for flatness control;Journal of the Brazilian Society of Mechanical Sciences and Engineering;2018-02-28