Research Papers: Energy Systems Analysis

Feedwater Heating Allocation Optimization for Large Capacity Steam Turbine Unit Based on Particle Swarm Optimization

[+] Author and Article Information
Wenfeng Fu

Department of Power Engineering,
North China Electric Power University,
Baoding 071003, China
e-mail: fuwenfeng@ncepu.edu.cn

Xueming Yang

Department of Power Engineering,
North China Electric Power University,
Baoding 071003, China
e-mail: ncepub@hotmail.com

Lanjing Wang

Department of Computer Engineering,
North China Electric Power University,
Baoding 071003, China
e-mail: wanglanjing@ncepu.edu.cn

Yongping Yang

Department of Power Engineering,
North China Electric Power University,
Baoding 071003, China
e-mail: yyp@ncepu.edu.cn

1Corresponding author.

Contributed by the Advanced Energy Systems Division of ASME for publication in the JOURNAL OF ENERGY RESOURCES TECHNOLOGY. Manuscript received March 29, 2014; final manuscript received April 8, 2015; published online April 27, 2015. Assoc. Editor: Abel Hernandez-Guerrero.

J. Energy Resour. Technol 137(4), 042005 (Jul 01, 2015) (6 pages) Paper No: JERT-14-1090; doi: 10.1115/1.4030368 History: Received March 29, 2014; Revised April 08, 2015; Online April 27, 2015

The allocation of feedwater heating in regenerative heaters is one of the important points related to the thermo-economy analysis of thermal power plants. Optimizing the allocation of feedwater heating can obtain obvious economic benefits without additional equipment investment or material consumption. Based on a modified particle swarm optimization (PSO), this paper proposes a numerical model for feedwater heating allocation problem in selecting the optimum feedwater heating allocation of large capacity steam turbine unit. A real case of a 600 MW steam turbine unit shows that the optimized results are significantly better than the original design value. The proposed method is convenient for analyzing and solving the problem of optimum feedwater heating allocation, and the results presented in this work should have important implications in the design and tapping energy-saving potential of large capacity steam turbine unit.

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Grahic Jump Location
Fig. 1

Regenerative feedwater heating system of modern large steam turbine unit

Grahic Jump Location
Fig. 2

Different regenerative heaters: (a) drain-release heater and (b) drain-collection heater

Grahic Jump Location
Fig. 3

The feedwater heating system of a 600 MW steam turbine unit

Grahic Jump Location
Fig. 4

Best fitness trendline for the optimization of a 600 MW steam turbine unit feedwater heating system via genetic algorithm and proposed PSO




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