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Research Papers: Energy Systems Analysis

A New Approach for Model-Based Monitoring of Turbine Heat Rate

[+] Author and Article Information
Jizhou Wang, Jianlan Li, Pengcheng Xiao, Zhaoyin Zhai

School of Energy and Power Engineering,
Huazhong University of Science and Technology,
Wuhan 430074, China

Yanping Zhang

School of Energy and Power Engineering,
Huazhong University of Science and Technology,
Wuhan 430074, China
e-mail: zyp2817@hust.edu.cn

Shuhong Huang

School of Energy and Power Engineering,
Huazhong University of Science and Technology,
Wuhan 430074, China;
China-EU Institute for Clean
and Renewable Energy,
Huazhong University of Science and Technology,
Wuhan 430074, China

1Corresponding author.

Contributed by the Advanced Energy Systems Division of ASME for publication in the JOURNAL OF ENERGY RESOURCES TECHNOLOGY. Manuscript received April 7, 2016; final manuscript received July 1, 2016; published online August 3, 2016. Assoc. Editor: Mohamed A. Habib.

J. Energy Resour. Technol 139(1), 012004 (Aug 03, 2016) (8 pages) Paper No: JERT-16-1164; doi: 10.1115/1.4034231 History: Received April 07, 2016; Revised July 01, 2016

In this paper, a new approach for model-based monitoring of turbine heat rate is developed, where the superheat steam flow is calculated according to the output power of the turbine generation instead of the flow of feed water. A regenerative system model is built based on the operating state and historical data to predict the parameter values in the heat rate calculation. The results of the model calculation also verify the turbine operating parameters that are measured on site. The new approach in this paper was applied in a 660 MW generation unit. The monitoring results of this approach are more stable and accurate than traditional monitoring results.

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Figures

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Fig. 1

Measurement results of heat rate using the SIS

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Fig. 2

Flow chart of the method presented in this paper

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Fig. 3

The principle diagram of the regenerative system of the generation unit

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Fig. 4

The fitting of the pressure loss coefficient of the #7 LPH

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Fig. 5

Heat rate monitor results

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Fig. 6

Comparison among different heat rate results

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