化工学报 ›› 2016, Vol. 67 ›› Issue (S1): 318-325.DOI: 10.11949/j.issn.0438-1157.20160546

• 过程系统工程 • 上一篇    下一篇

不同运行环境蒸汽动力系统特性

李健1, 张国磊1, 史智俊2, 杨龙滨1, 马彪1, 曾帅1, 李子豪1   

  1. 1 哈尔滨工程大学动力与能源工程学院, 黑龙江 哈尔滨 150001;
    2 中国船舶重工集团公司第703研究所, 黑龙江 哈尔滨 150078
  • 收稿日期:2016-04-26 修回日期:2016-05-03 出版日期:2016-08-31 发布日期:2016-08-31
  • 通讯作者: 张国磊,zhangguolei@hrbeu.edu.cn
  • 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(E201422)。

Characteristics of steam dynamic system in different operating environment

LI Jian1, ZHANG Guolei1, SHI Zhijun2, YANG Longbin1, MA Biao1, ZENG Shuai1, LI Zihao1   

  1. 1 College of Power and Energy Engineering, Harbin Engineering University, Harbin 150001, Heilongjiang, China;
    2 703 Research Institute of China Shipbuilding Industry Corporation, Harbin 150078, Heilongjiang, China
  • Received:2016-04-26 Revised:2016-05-03 Online:2016-08-31 Published:2016-08-31
  • Supported by:

    supported by the National Natural Science Foundation of China (51479040,51409070)and the Natural Science Foundation of Heilongjiang Province (E201422).

摘要:

环境温度和压力作为蒸汽动力系统的自然工作条件,对于动力系统尤其是增压锅炉装置运行的安全性及经济性有重要影响。建立了蒸汽动力系统仿真模型,对不同环境条件下的动力系统运行特性进行仿真研究。结果表明:环境温度越高,涡轮增压机组辅机功率及蒸汽消耗量越大,动力系统燃油消耗量越大;环境压力越低,涡轮增压机组辅机功率及蒸汽消耗量越大,动力系统燃油消耗量越大;动力系统负荷越低,辅助汽轮机在为压气机提供功率时所占的比重越大。

关键词: 蒸汽动力, 环境条件, 响应规律, 过程系统, 模型, 动态仿真

Abstract:

Environmental temperature and pressure, which act as the operating condition of the steam power system, play an important role in the safety and economy of the whole system. The simulation model of a steam power system was established to analyze and discuss the characteristics of the system under different ambient temperature and pressure. The results show that auxiliary engine power, steam flow and fuel flow increase with the raise of environmental temperature. Also, auxiliary engine power, steam flow and fuel flow increase with the decline of environmental pressure.Moreover, a lower load of dynamic system leads to a greater proportion of auxiliary engine power.

Key words: steam power, environment condition, response pattern, process systems, model, dynamic simulation

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