A New Approach for Model-Based Monitoring of Turbine Heat Rate-Reference-Cited by-同舟云学术

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

Published:2016-08-03 Issue:1 Volume:139 Page:
ISSN:0195-0738
Container-title:Journal of Energy Resources Technology
language:en
Short-container-title:

Author:

Wang Jizhou¹,Zhang Yanping²,Li Jianlan¹,Xiao Pengcheng¹,Zhai Zhaoyin¹,Huang Shuhong³⁴

Affiliation:

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

2. School of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan 430074, China e-mail:

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

4. China-EU Institute for Clean and Renewable Energy, Huazhong University of Science and Technology, Wuhan 430074, China

Abstract

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.

Publisher

ASME International

Subject

Geochemistry and Petrology,Mechanical Engineering,Energy Engineering and Power Technology,Fuel Technology,Renewable Energy, Sustainability and the Environment

Link

http://asmedigitalcollection.asme.org/energyresources/article-pdf/doi/10.1115/1.4034231/6147781/jert_139_01_012004.pdf

Reference28 articles.

1. Computer System for Monitoring Power Boiler Operation;Proc. Inst. Mech. Eng. Part A,2008

2. Influence of Condenser Conditions on Organic Rankine Cycle Load Characteristics;ASME J. Eng. Gas Turbines Power,2013

3. Condition Monitoring and Fault Diagnosis of a Boiler Feed Pump Unit;J. Sci. Ind. Res.,2009

4. On-Line Monitoring the Performance of Coal-Fired Power Unit: A Method Based on Support Vector Machine;Appl. Therm. Eng.,2009

5. On-Line Monitoring of Fuel Moisture-Content in Biomass-Fired Furnaces by Measuring Relative Humidity of the Flue Gases;Chem. Eng. Res. Des.,2011

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