Optimization of Air Conditioning Control System of Railway Train

doi:10.3969/J.ISSN.2095-3429.2017.01.019

Power Generation Technology ›› 2017, Vol. 38 ›› Issue (1): 78-81.DOI: 10.3969/J.ISSN.2095-3429.2017.01.019

Previous Articles Next Articles

Optimization of Air Conditioning Control System of Railway Train

JIANG Wen-tao¹, ZHANG Jun²

1. Schneider Electric(China) Co., Ltd, Shanghai 201203, China;
2. Shanghai Faiveley Railway Technology Co, Ltd, Shanghai 201906, China

Received:2016-06-21 Revised:2016-12-22 Published:2017-02-28 Online:2017-02-28

Abstract

Abstract: Integrating the industrial PLC control product, this paper introduces a new and better solution for the current railway train air conditioning control system,comparing the traditional railway train air conditioning system. It is better to reach the customer requirement without significant increase in the cost. Easy to operate,easy to maintain,expand and real-time status display.

Key words: rail transit, air-conditioning, control system, optimization

CLC Number:

TU831

JIANG Wen-tao, ZHANG Jun. Optimization of Air Conditioning Control System of Railway Train[J]. Power Generation Technology, 2017, 38(1): 78-81.

[1]	Yong DING. Research on Deep Peak Shaving Performance of 1 000 MW Ultra-Supercritical Coal-Fired Boiler [J]. Power Generation Technology, 2024, 45(3): 382-391.
[2]	Huasong DAI, Shaoxu PU, Guoxu CHAI, Li JIN, Weiping CHEN, Mingliang XIE. Research and Application of Deep Peak Shaving of 350 MW Supercritical Fluidized Bed Unit [J]. Power Generation Technology, 2024, 45(3): 401-411.
[3]	Bin ZHAO, Gao LIANG, Menghao JIANG, Gang ZOU, Li WANG. Grid-Connected Power Fluctuation Suppression and Energy Storage Optimization Configuration of Photovoltaic-Energy Storage System [J]. Power Generation Technology, 2024, 45(3): 423-433.
[4]	Junhui LI, Guohang CHEN, Teng MA, Cuiping LI, Xingxu ZHU, Chen JIA. Optimal Control Strategy of Peak Shaving of Flow Battery Energy Storage System Under High Wind Power Permeability [J]. Power Generation Technology, 2024, 45(3): 434-447.
[5]	Jianqiang YE, Dunhu SUN. Research on Power Planning Based on Robust Optimization Under Carbon Trading Condition [J]. Power Generation Technology, 2024, 45(3): 566-574.
[6]	Zhonghao QIAN, Jun HU, Sichen SHEN, Ting QIN, Hanyi MA, Xiaodong WANG, Caoyi FENG, Zhinong WEI. Multi-Power Coordinated Optimization Operation Strategy Considering Conditional Value at Risk [J]. Power Generation Technology, 2023, 44(6): 781-789.
[7]	Xiaoqiang JIA, Yongbiao YANG, Jiao DU, Haiqing GAN, Nan YANG. Study on Uncertainty Operation Optimization of Virtual Power Plant Based on Intelligent Prediction Model Under Climate Change [J]. Power Generation Technology, 2023, 44(6): 790-799.
[8]	Zhongrong LIANG, Maowei LAN, Guo ZHENG, Rongqiang HE, Keyang QU, Yunhua GAN. Study on Multi-Objective Optimization of High-Efficiency and Low-NO _x Emissions of Power Station Boilers Based on Least Squares Support Vector Machines [J]. Power Generation Technology, 2023, 44(6): 809-816.
[9]	Xiaojie PAN, Youping XU, Zhijun XIE, Yukun WANG, Mujie ZHANG, Mengxuan SHI, Kun MA, Wei HU. Power System Transient Stability Preventive Control Optimization Method Driven by Stacking Ensemble Learning [J]. Power Generation Technology, 2023, 44(6): 865-874.
[10]	Zhongliang GAO, Qi GENG, Zhe WANG, Ting GAO, Yingfeng LI, Lei CHEN, Meicheng LI. Structure Optimization and Experimental Study of PEDOT:PSS/Si Hybrid Solar Cells With SiNWs [J]. Power Generation Technology, 2023, 44(5): 685-695.
[11]	Caixin SUN, Bo ZHANG, Wei TANG, Yiming ZHOU, Mingzhi FU, Meng QIN, Xiaojiang GUO. Research and Practice on Localization of Offshore Wind Turbines [J]. Power Generation Technology, 2023, 44(5): 696-702.
[12]	Lixin HUO, Richeng WANG. Study on Steam Supply Scheme of Seawater Desalination System Under Low Load Condition of Dual-Purpose Power and Water Plant Units [J]. Power Generation Technology, 2023, 44(5): 722-730.
[13]	Guoqin ZHAO, Maowei LAN, Yang LI, Yuanxiang ZHOU, Zhengwei JIANG, Yunhua GAN. Study on Optimization of Prediction Model of Flue Gas Oxygen Content in Thermal Power Plant Based on Least Squares Support Vector Machine [J]. Power Generation Technology, 2023, 44(4): 534-542.
[14]	Jingcheng SU, Zhiqiang WANG, Jiangjiang QU, Kai ZHANG. Pressure Difference Prediction of Air Preheater in Coal-Fired Power Plant Based on BP Neural Network and Support Vector Regression [J]. Power Generation Technology, 2023, 44(4): 550-556.
[15]	Chunhui LUO, Tonghua ZOU, QU Gangju, Tao TANG. A Planning Method for Anti-disaster Backbone Grid Considering Economy and Reliability [J]. Power Generation Technology, 2023, 44(3): 425-430.

Optimization of Air Conditioning Control System of Railway Train

PDF (PC)

Knowledge

Abstract

Cite this article

References

Related Articles 15

Recommended Articles

Metrics