Status of Thermal Performance Management and Technical Roadmap in - DOC

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					Thermal Performance Management Using Condition Monitoring Tools
                       in Korean NPPs

                        Gyunyoung Heo1* and Soon Heung Chang*
                 Jae Chang Park**, Jung Woon Lee**, and Jung Taek Kim**

                    *Korea Advanced Institute of Science and Technology
                     373-1 Guseong-dong, Yuseong-gu, Daejeon, Korea
                          **Korea Atomic Energy Research Institute
                        150 Deokjin-dong, Yuseong-gu, Daejeon, Korea


If we are given to ask what the most important issues in energy industry are, we may
answer securing of new energy sources and efficient use of previous energy sources.
Since single power company in Korea was divided into six ones, each power company
has concentrated on the thermal performance management more than ever for the
efficient use of energy source. KHNP(Korea Hydro & Nuclear Power Co., Ltd.) which
is the unique nuclear power company also started in-depth thermal performance
management researches for turbine cycle and safety-grade heat exchangers, with which
topics have not been dealt carefully. Considering a variety of political and technical
situation inside and outside, we established a technical roadmap, which is one of the
activities in KNICS(Korea Nuclear I&C System) R&D program. According to this
roadmap, we developed the performance analysis & diagnosis program of turbine cycle,
and this program is being used in six NPPs out of twenty. As one of the ageing
management programs in continued operation, we have developed a thermal
performance monitoring program for safety-related heat exchangers. Because we
consider the most essential alternative for performance management is to make
technical network among industries, universities, and research institutes, we are now
launching a plan for the organization of working-level engineers. In this paper, the
situation of thermal performance management in Korean NPPs is described, and some
issues from the condition monitoring viewpoint such as signal estimation/validation,
early warning, and statistical diagnosis are explained. We will show the solutions which
were achieved in KNICS R&D program and summarize the future directions for the
development of advanced techniques.

    Corresponding author: Gyunyoung Heo,

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