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A Study for Monitoring & Prognostic Technology of Nuclear Power Plant Critical Equipments

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서론 I.

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[1].

(Time Base Maintenance)

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(Condition Base Maintenance) .

* (Corresponding Author)

: 2011. 8. 20., : 2011. 9. 5., : 2011. 9. 25.

, , :

([email protected]/[email protected]/[email protected])

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. EPRI LTO (Long Term

Operation)

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A Study for Monitoring & Prognostic Technology of Nuclear Power Plant Critical Equipments

* , ,

(Sung-Han Jo1, Jae-ki Lee1, and Hyoung-Gwan Kim1)

1

KHNP Central Research Institute, Plant Support Engineering Center

Abstract: The major goal of nuclear power industries during past 10 years has been increasing reliability and utility capacity factor. But as capacity factors crept upward, it became harder and harder to attain next percentage of improvement. Therefore, other innovative technologies and method are required. The monitoring, diagnostic and prognostic technologies have been applied to the fossil power plants and contributed a lot on improving their reliability and performance. However nuclear industries are still reluctant to apply the technology by several reasons. In this paper, current preventive maintenance status of nuclear power plants and industrial practice of monitoring, diagnostic and prognostic technologies are investigated. In addition, the restriction in the implementation of the technologies to the nuclear power plants are defined. Finally, we suggest appropriate methods of implementing the technology to nuclear industries for improving current reliability and performance.

Keywords: prognostic, monitoring, diagnostic

Copyright© ICROS 2011

(2)

.

원자력발전소의 예측진단 현황 및 문제점 II.

.

,

, . 1 EPRI (Electric

Power Research Institute) [2].

.

.

INPO (Institute of Nuclear Power Operations)

AP-913 [3]. 2 AP-913

.

,

. AP-913

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AP-913

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( , , )

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예측정비 적용사례 및 기술개발 동향 III.

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. 1. EPRI LTO Project

EPRI LTO

. 5

,

.

3. EPRI COLM model.

Fig. 3. EPRI Centralized On-Line Monitoring model.

1. Hierarchy of reliability monitoring.

Fig. 1. Hierarchy of reliability monitoring.

2. Equipment reliability process top level diagram.

Fig. 2. Equipment reliability process top level diagram.

(3)

,

. 해외 원자력발전사

2.

사 2.1 Luminant

55

POC (Power Optimization Center) . POC

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. 사

2.2 Exelon

CPM (Centralized Performance Monitoring)

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사 2.3Pacific Gas & Electric

Diablo Canyon 1,2 ER

MR . SAP

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사 2.4 Florida Power & Light Group

5 .

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사 2.5 First Energy Nuclear Operating Company

SAP ER

. 국내 원자력발전사 3.

.

. SmartSignal PI

(Plant Information) . PI

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Engineering Workstation System ,

(EPI-Center) .

예측진단 기술개발 동향 4.

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[4,5].

기계분야 4.1

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1 . 전기분야 4.2

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. 계측제어분야

4.3

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1. .

Table 1. Technology trend of mechanical prognostics.

Spall

2. .

Table 2. Technology trend of electrical prognostics.

∙∙

, ,

3. .

Table 3. Technology trend of I&C prognostics.

, ,

(4)

피동기기 분야 4.4

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Fatigue, Corrosion, SCC (Stree Corrosion Cracking), Corrosion Fatigue

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EPRI

[6,7] NRC [8] .

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원자력발전소 적용 방안 IV.

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.

. 통합모니터링센터 구축

1.

1

. .

. . 기기상태평가 및 고장예측 알고리즘 개발 2.

.

. 2.1 Pilot Study

Pilot Study .

Empirical Model EPI-Center Tool .

(DM2000) .

. 대상기기 선정

2.2

. EPRI

[9].

.

결론 V.

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참고문헌

[1] “White Paper on Nuclear Power Generation,” KME(in Korean), pp. 126-130, June 2009.

[2] “Program on Technology Innovation: Prognostic Application for the Power Industry,” EPRI, TR-1018245, pp. 2-3, May 2009.

[3] “Equipment Reliability Process Description,” INPO, AP-913 p. 7, Dec. 2007.

[4] “Development of Prognostics of Active Equipments in NPP,” KEPRI(in Korean), 2010.

[5] “Prognostic Application for the Power Industry,” EPRI, TR-1018245, May 2009.

[6] “Materials Degradation Matrix,” Rev.2, EPRI, TR-1020987 Aug. 2010.

[7] “Issue Management Table,” Rev2, EPRI, TR-1021024, Oct. 2010.

[8] “Expert Panel Report on Proactive Materials Degradation

(5)

Assessment,” NRC, NUREC/CR-6923, Feb. 2007.

[9] “Fleetwide Monitoring for Equipment Condition

Assessment,” EPRI, TR-1010266, pp. 3-13, Oct. 2010.

조 성 한

2010 ( )

. 1983 ~ .

.

, .

김 형 관

1995 ( ). 1995

~ .

. Prognostic, Equipment Qualification

이 재 기

1994 ( ).

1982 ~ .

, .

수치

Fig. 1. Hierarchy of reliability monitoring.
Table 1. Technology trend of mechanical prognostics.

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