The efficiency and reliability of thermal power plant directly depends on conditions of the condensation-steam system. The key of energy-saving and optimal operation in condensation-steam system is to adjust the circulating cooling water flow with different operation conditions to get the optimal vacuum. This paper presents the optimal mathematical model of circulating water flow of a 600MW supercritical thermal power plant using Matlab/Simulink. And this model has comprehensively considered the coupling influence of many parameters on the optimal vacuum, including circulating cooling water temperature, cooling water flow, vacuum pump output, condenser cleanness, and makeup water. This model can not only simulate the thermodynamic parameters of the condensation-steam system on operation conditions, but also simulate the influence of the health status of condensation-steam equipments on the operating performance. The accuracy of this model is validated by comparing the simulation results with design parameters under different conditions. We studied the optimal vacuum on off-design conditions using the model. The research shows that the change of the vacuum pump output will affect the results of the optimum circulating water flow, so the net power of the unit should be calculated with consideration of the change of the vacuum pump output in order to get the more practical optimal circulating water flow. The cleanliness of heat transfer surface has a great influence on the optimum circulating water flow. When the cleanliness is poor, the unit needs larger circulating flow to maintain the optimal vacuum. We should estimate the cleanliness of heat transfer surface to arrange suitable cleaning interval time according to the operation conditions of the unit.
Skip Nav Destination
ASME 2011 Power Conference collocated with JSME ICOPE 2011
July 12–14, 2011
Denver, Colorado, USA
Conference Sponsors:
- Power Division
ISBN:
978-0-7918-4460-1
PROCEEDINGS PAPER
Energy Saving and Optimization Research on the Condensation-Steam System of a Supercritical Thermal Power Plant
Yunyun Zhao,
Yunyun Zhao
Huazhong University of Science & Technology, Wuhan, China
Search for other works by this author on:
Yanping Zhang,
Yanping Zhang
Huazhong University of Science & Technology, Wuhan, China
Search for other works by this author on:
Shuhong Huang,
Shuhong Huang
Huazhong University of Science & Technology, Wuhan, China
Search for other works by this author on:
Jianlan Li,
Jianlan Li
Huazhong University of Science & Technology, Wuhan, China
Search for other works by this author on:
Yueqin Li
Yueqin Li
Huazhong University of Science & Technology, Wuhan, China
Search for other works by this author on:
Yunyun Zhao
Huazhong University of Science & Technology, Wuhan, China
Yanping Zhang
Huazhong University of Science & Technology, Wuhan, China
Shuhong Huang
Huazhong University of Science & Technology, Wuhan, China
Jianlan Li
Huazhong University of Science & Technology, Wuhan, China
Yueqin Li
Huazhong University of Science & Technology, Wuhan, China
Paper No:
POWER2011-55424, pp. 133-140; 8 pages
Published Online:
February 28, 2012
Citation
Zhao, Y, Zhang, Y, Huang, S, Li, J, & Li, Y. "Energy Saving and Optimization Research on the Condensation-Steam System of a Supercritical Thermal Power Plant." Proceedings of the ASME 2011 Power Conference collocated with JSME ICOPE 2011. ASME 2011 Power Conference, Volume 2. Denver, Colorado, USA. July 12–14, 2011. pp. 133-140. ASME. https://doi.org/10.1115/POWER2011-55424
Download citation file:
13
Views
Related Proceedings Papers
Related Articles
Comparative Study of Using R-410A, R-407C, R-22, and R-134a as Cooling Medium in the Condenser of a Steam Power Plant
J. Eng. Gas Turbines Power (February,2015)
Effect of Vapor Velocity on Condensation of Low-Pressure Steam on Integral-Fin Tubes
J. Heat Transfer (November,2007)
Two-Phase Flow Modeling and Measurements in Low-Pressure Turbines—Part I: Numerical Validation of Wet Steam Models and Turbine Modeling
J. Eng. Gas Turbines Power (April,2015)
Related Chapters
Introduction
Thermal Power Plant Cooling: Context and Engineering
Engineering and Physical Modeling of Power Plant Cooling Systems
Thermal Power Plant Cooling: Context and Engineering
Cooling System Case Studies
Thermal Power Plant Cooling: Context and Engineering