DocumentCode :
745103
Title :
Development of a need-oriented steam turbine cycle simulation toolbox
Author :
Heo, Gyunyoung ; Chang, Soon Heung ; Choi, Seong Soo
Author_Institution :
Dept. of Nucl. & Quantum Eng., Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea
Volume :
20
Issue :
4
fYear :
2005
Firstpage :
859
Lastpage :
869
Abstract :
We call an electric generation mechanism, whose working fluid is water, as a steam turbine cycle or Rankine cycle. A steam turbine cycle has been adopted in fossil-fuel or nuclear power plants because it is suitable for large-scale and continuous operation. To check the performance level of a steam turbine cycle, performance tests are carried out according to the performance test codes (PTCs) provided by the authorized institute. However, authors found that it was too difficult to follow the PTCs in actual plants. The reason is signal reliability and the prerequisites of the PTCs. The effort to overcome these shortcomings already started and some commercial solutions were also developed. These solutions include a general-purpose simulation code with signal validation techniques. Despite these achievements, performance engineers are suffering from the inconsistency between their previous performance analysis work and new performance analysis tools. This study proposed the solution, a need-oriented turbine cycle simulation toolbox, which is another general-purpose simulation code with the signal validation method based on multivariate statistics. This toolbox removed the inconsistency by customizing the actual needs of performance engineers. The accuracy of the developed simulation code was validated with other commercial turbine cycle simulation codes.
Keywords :
power system interconnection; statistical analysis; steam turbines; Rankine cycle; electric generation mechanism; fossil-fuel power plants; general-purpose simulation code; large-scale operation; multivariate statistics; need-oriented steam turbine cycle simulation toolbox; nuclear power plants; performance analysis; performance test codes; signal validation method; signal validation techniques; Boilers; Hardware; Large-scale systems; Nuclear power generation; Performance analysis; Power generation; Reliability engineering; Sensor phenomena and characterization; Testing; Turbines; Multivariate statistics; performance test codes; simulation; steam turbine cycle;
fLanguage :
English
Journal_Title :
Energy Conversion, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8969
Type :
jour
DOI :
10.1109/TEC.2005.845528
Filename :
1546079
Link To Document :
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