Response pattern of marine steam power system under back-steam protection

doi:10.11949/j.issn.0438-1157.20150649

CIESC Journal ›› 2015, Vol. 66 ›› Issue (S2): 287-293.DOI: 10.11949/j.issn.0438-1157.20150649

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Response pattern of marine steam power system under back-steam protection

SHI Zhijun, ZHANG Guolei, LI Yanjun, SONG Fuyuan, LI Xiaoming, ZENG Shuai

College of Power and Energy Engineering, Harbin Engineering University, Harbin 150001, Heilongjiang, China

Received:2005-05-21 Revised:2015-05-28 Online:2015-08-31 Published:2015-08-31
Supported by:
supported by the National Natural Science Foundation of China (51479040,51409070)and the Natural Science Foundation of Heilongjiang Province(E201346, E201422)。

回汽保护控制下舰用蒸汽动力系统响应规律

史智俊, 张国磊, 李彦军, 宋福元, 李晓明, 曾帅

哈尔滨工程大学动力与能源工程学院, 黑龙江哈尔滨 150001

通讯作者: 张国磊
基金资助:
国家自然科学基金项目(51479040,51409070);黑龙江省自然科学基金项目(E201346,E201422)。

Abstract

Abstract:

The back-steam protection is an effective measure to improve the maneuverability of steam-powered ships through reducing the amplitude of the growth of drum pressure caused by the ship's emergency deceleration.The simulation models of the composition units and whole system for back-steam protection system were built and validated through the experimental date, including the supercharged boiler, main steam turbines, valves.The response pattern of marine steam power system on the different control of back-steam protection was researched.The results show that the rising amplitude of the drum pressure with the larger valve opening and the less opening valve time decreases, so the effect of the back-steam protection is more obvious.Also, the larger valve opening, the higher maximum condenser inlet temperature.Moreover, there is no significant influence on the maximum condenser inlet temperature in different opening valve time.

Key words: mathematical modeling, dynamic simulation, process control, response pattern, back-steam protection

摘要：

回汽保护是缓解蒸汽动力舰船紧急减速时汽包压力骤升幅度、提高舰船机动性的有效措施。建立增压锅炉、主汽轮机、调节阀等设备模型,集成了回汽保护系统仿真模型,并应用试验数据对仿真模型进行了校验。对不同回汽保护控制条件下蒸汽动力系统响应规律进行仿真研究,研究结果表明:倒车调节阀开度越大、开阀时间越短,汽包压力骤升幅度越小,回汽保护效果越明显;倒车调节阀开度越大,冷凝器喉部最高温度越高,而开阀时间对于冷凝器喉部最高温度无明显影响。

关键词: 数学模型, 动态仿真, 过程控制, 响应规律, 回汽保护

CLC Number:

TK323

SHI Zhijun, ZHANG Guolei, LI Yanjun, SONG Fuyuan, LI Xiaoming, ZENG Shuai. Response pattern of marine steam power system under back-steam protection[J]. CIESC Journal, 2015, 66(S2): 287-293.

史智俊, 张国磊, 李彦军, 宋福元, 李晓明, 曾帅. 回汽保护控制下舰用蒸汽动力系统响应规律[J]. 化工学报, 2015, 66(S2): 287-293.

References 20

[1]	Lü Jianwei(吕建伟),Yi Hui(易惠),Liu Zhonghua(刘中华). Research on index system for evaluating warship design[J].Ship Engineering(船舶工程),2005,27(4):53-57.
[2]	Zhang Zhihua(张志华).Introduction to Ship Power Equipment(船舶动力装置概论)[M].Harbin:Harbin Engineering University Press,2001:7-8.
[3]	Wang Weiji(王伟吉),Zhu Yong(朱泳),Jin Jiashan(金家善).Simple analysis method for braking ability of steam power ship concerning hull inertia[J].Mechanical and Electrical Equipment(机电设备),2012,(4):46-49.
[4]	Han Jing(韩静).Heat balance analysis and dynamic simulation in marine supercharged boiler[D].Harbin:Harbin Engineering University,2006.
[5]	Li Zhang(李章).The Design of the Supercharged Boiler(增压锅炉装置设计)[M].Beijing:Hai Chao Press,2009:41-59.
[6]	Zhu Yong(朱泳),Jin Jiashan(金家善),Liu Dongdong(刘东东).Study of back-steam braking and back-steam protection technology for marine steam power plants[J].Turbine Technology(汽轮机技术),2012,54(6):404-407.
[7]	Zhang Xiaoyun(张晓云),Wang Yuanhui(王元慧),Li Shuying(李淑英),Miao Anli(苗安立).Research on dynamic characteristic of marine supercharged boiler[J].Computer Simulation(计算机仿真),2010,27(7):346-349
[8]	Dragon R,Vladimir D,Titoslav Z.Thermal-hydraulic analysis of a steam boiler with rifled evaporating tubes[J].Applied Thermal Engineering,2007,27(6):509-519.
[9]	Leng Xin(冷欣).Research on predictive control method of marine supercharged boiler drum water level[D].Harbin:Harbin Engineering University,2007.
[10]	Leng Xin(冷欣),Zhu Qidan(朱齐丹).Multi-model predictive control of drum water level in marine supercharged boiler based on dynamic compensation by radial basis function neural network[J].Journal of Jilin University:Engineering and Technology Edition(吉林大学学报:工学版),2011,41(5):1450-1455.
[11]	Cao Zhanwei(曹占伟).Modeling and dynamic simulation for marine supercharged boiler steam-water system[D].Harbin:Harbin Engineering University,2007.
[12]	Zhu Yong(朱泳),Jin Jiashan(金家善),Yan Zhiteng(严志腾),Hu Jimin(胡继敏),Wang Yuwen(王玉文).Simulation analysis of responding characteristics on abrupt load dropping for marine supercharged boilers[J].Journal of Central South University:Science and Technology(中南大学学报:自然科学版),2013,44(9):3678-3686.
[13]	Xun Zhenyu(荀振宇).Research on dynamic performance of small supercharged boiler[D].Harbin:Harbin Engineering University,2012.
[14]	Zhu Yong(朱泳),Jin Jiashan(金家善),Liu Dongdong(刘东东).Numerical modeling and mechanism of back-steam braking For steam-powered ships[J].Journal of Central South University:Science and Technology(中南大学学报:自然科学版),2013,44(7):2771-2777.
[15]	Yu Haitao(于海涛),Li Yanjun(李彦军),Zhang Guolei(张国磊),Ma Hongbo(马弘波).Dynamic characteristics of boiler-accumulator under condition of different steam charging and discharging[J].CIESC Journal(化工学报),2014,65(5):130-137.
[16]	Chen Hang(陈航),Zheng Qun(郑群),Wang Jie(王杰).The modeling and dynamic simulation of main steam turbine for marine ship[J].Journal of Engineering for Thermal Energy and Power(热能动力工程),2012,27(3):282-296.
[17]	Li Yanjun(李彦军).Study of the thermal performance parameters and dynamic characters in the supercharged boiler[D].Harbin:Harbin Engineering University,2006.
[18]	Liu Guowen(刘国文).Numerical calculation and analysis of control valve of steam turbine[D].Jinan:Shandong University,2012.
[19]	Xiang Xiaowei(相晓伟),Mao Jingru(毛静儒),Sun Bi(孙弼). Numerical investigation of flow characteristic of control valve of steam turbine in the entire range of operating mode[J]. Journal of Xi'an Jiaotong University(西安交通大学学报),2006,40(3):289-293.
[20]	Xiao Xin(肖鑫).Flow analysis and structure optimization on control valve[D]. Harbin:Harbin Engineering University,2013.

Response pattern of marine steam power system under back-steam protection

回汽保护控制下舰用蒸汽动力系统响应规律

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