Multi-Factors Analysis of Condenser Vacuum under Overall Working Conditions

Abstract:

It is of great significance to determine an optimal condenser vacuum for energy-saving diagnosis, for the vacuum means a lot to the safe and economic operation of thermal power units. The key parameters were calculated by the practical data, such as the cleanliness factor. The condenser heat transfer coefficient is affected by both the dirty of condenser water side and other factors on the basis of the method of adjusting the circulating-water flow unilaterally to get the optimal vacuum of condenser in this paper. The impacts of the exhausting steam resistance, the oxygen content of condensate caused by the change of the circulating-water flow were considered in this paper. The practical operation data was analysed with the results from HEI. The simulations were examined in the comparison of heat transfer coefficient. The impacts of unit energy consumption characteristics under overall working conditions caused by condenser vacuum were obtained in the approach based on the theory of energy specific fuel consumption (ESFC). The variation of auxiliary specific consumption as the temperature of circulating-water changing was obtained. The results indicated that the optimal condenser vacuum determined by the method aiming at maximum output power and many factors under overall working conditions accounted for played an important role in the energy saving diagnosis of thermal power units.

• Periodical: Applied Mechanics and Materials (Volume 654)
• Pages: 109-112
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.654.109
• Online since: October 2014
• Authors: Ning Ling Wang, Feng Ming Chu, Peng Fu, Zhi Ping Yang, Yong Ping Yang
• Keywords: Ebsilon Platform, Optimal Vacuum, Practical Heat Transfer Coefficient

References

[1] Li Yong, Cao Lihua, Yang Shanrang. An approximate method of online monitoring relative internal efficiency for condensing steam turbine [J]. Proceedings of the CSEE, 2002, 22(2): 64-67.

[2] Li Xiuyun, Yan Junjiem, LinWanchao. Study on thermo-economics diagnosis method and index evaluation system for the cold end system in steam power unit [J]. Proceedings of the CSEE, 2002, 22(2): 94-98.

[3] Zhengyu H, Robert M. Power generation efficiency improvement through auxiliary system modifications [J]. IEEE Transactions on Energy Conversion, 2003, 18(4): 525-529.

DOI: 10.1109/tec.2003.816607

[4] Ye Rongxue, Wang Jinqiao. The determining of the optimum condition for cooling water system [J]. Proceedings of the CSEE, 1988, 8(1): 62-67.