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2026 Vol.46, Issue 3 Preview Page
Empirical Validation of a Risk Prioritization Model Based on Real Failure Data and Its Application to Safety Management in Photovoltaic Systems

고장 데이터 기반 태양광 발전 시스템의 위험 우선순위 산정 모델 개발 및 실증 연구

Sungho Park1
,
Jinho Choi2
,
Sungchul Hong3*
박 성호1
,
최 진호2
,
홍 성철3*
1Ph.D.Student, Department of Safety and Administration Engineering, Hoseo University
2Associate Researcher, Chungbuk Technopark Next Energy Center
3Professor, Department of Industrial Safety Engineering, Hoseo University
1호서대학교 안전행정공학과, 박사과정
2충북테크노파크 차세대에너지센터, 전임연구원
3호서대학교 산업안전공학과, 교수
*Corresponding Author
30 June 2026. pp. 177-191
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Abstract

The field-applicability of a risk priority number (RPN)-based riskscreening model for public photovoltaic (PV) facilities was evaluated using actual failure and diagnostic data from Jincheon-gun, Korea. Within the conventional failure mode and effects analysis framework, the criteria for severity, occurrence, and detection were redefined to reflect domestic operation and maintenance (O&M) conditions for distributed public PV plants, including remotemonitoring alarms, I-V curve diagnostic, and field inspection practices. Among 100 public PV facilities, 97 with valid I-V measurements were considered in the analysis. Actual fault status was defined using I-V diagnostic results, and monitoring alarm records were preprocessed to exclude non-fault events related to sunrise, sunset, low irradiance, and normal start-up or shutdown . The calculated basic RPN clearly distinguished normal and abnormal facilities. The strongest correlation was observed between the basic RPN and I-V based fault existence (Pearson’s r = 0.902), indicating that the proposed RPN provides significant explanatory power for identifying faulty facilities. The basic RPN also displayed moderate positive correlations with relative performance loss and filtered failure frequency, whereas its correlation with cumulative downtime was weak. This suggests that, downtime is additionally influenced by maintenance response, spare-part availability, site accessibility, and management practices. Overall, the proposed RPN represents an effective primary risk-based screening tool for prioritizing detailed inspection and maintenance in public PV portfolios, rather than a standalone predictor of downtime or fault severity. This work further provides supplementary decision rules that distinguish safety, availability, performance, and structural/environmental risks, supporting O&M decision-making.

Keywords
Failure mode effective analysis
Operation & maintenance
Risk assessment
Risk priority number
Photovoltaic system
키워드
고장모드 및 영향 분석
유지 보수 관리
위험성평가
위험우선순위
태양광 시스템
References
1

De l’Epine, M., Dominguez, G., Kaizuka, I., and Jäger-Waldau, A., A Snapshot of Global PV Markets, Report IEA-PVPS T1-49:2026, IEA PVPS Task 1, Federal, NSW, Australia, 2026, https://doi.org/10.69766/WXLW1389.

10.69766/WXLW1389
2

IEA PVPS, Korea: Industry and Market Development, 2025 Country Update, International Energy Agency Photovoltaic Power Systems Programme, Federal, NSW, Australia, 2026.

3

Ministry of Trade, Industry and Energy, The 11th Basic Plan for Electricity Supply and Demand (2024–2038), MOTIE Public Notice No. 2025-238, Sejong, Republic of Korea, 2025.

4

IEC, IEC 60812:2018, Failure Modes and Effects Analysis (FMEA and FMECA), International Electrotechnical Commission, Geneva, Switzerland, 2018.

5

Colli, A., Failure Mode and Effect Analysis for Photovoltaic Systems, Renewable and Sustainable Energy Reviews, Vol. 50, pp. 804-809, 2015, https://doi.org/10.1016/j.rser.2015.05.056.

10.1016/j.rser.2015.05.056
6

Villarini, M., Cesarotti, V., Alfonsi, L., and Introna, V., Optimization of Photovoltaic Maintenance Plan by Means of a FMEA Approach Based on Real Data, Energy Conversion and Management, Vol. 152, pp. 1-12, 2017, https://doi.org/10.1016/j.enconman.2017.08.090.

10.1016/j.enconman.2017.08.090
7

Rajput, P., Malvoni, M., Kumar, N. M., Sastry, O. S., and Tiwari, G. N., Risk Priority Number for Understanding the Severity of Photovoltaic Failure Modes and Their Impacts on Performance Degradation, Case Studies in Thermal Engineering, Vol. 16, 100563, 2019, https://doi.org/10.1016/j.csite.2019.100563.

10.1016/j.csite.2019.100563
8

Herz, M., Friesen, G., Jahn, U., Köntges, M., Lindig, S., and Moser, D., Quantification of Technical Risks in PV Power Systems, Report IEA-PVPS T13-23:2021, International Energy Agency Photovoltaic Power Systems Programme, Federal, NSW, Australia, 2021.

9

Oh, S. J., Kim, C. M., and Jang, J. H., Failure Mode Analysis for Accident Prevention in PV Systems, Journal of the Korean Solar Energy Society, Vol. 44, No. 6, pp. 105-115, 2024, https://doi.org/10.7836/kses.2024.44.6.105.

10.7836/kses.2024.44.6.105
10

Huang, J., You, J. X., Liu, H. C., and Song, M. S., Failure Mode and Effect Analysis Improvement: A Systematic Literature Review and Future Research Agenda, Reliability Engineering & System Safety, Vol. 199, 106885, 2020, https://doi.org/10.1016/j.ress.2020.106885.

10.1016/j.ress.2020.106885
11

Xiao, N., Huang, H. Z., Li, Y., He, L., and Jin, T., Multiple Failure Modes Analysis and Weighted Risk Priority Number Evaluation in FMEA, Engineering Failure Analysis, Vol. 18, No. 4, pp. 1162-1170, 2011, https://doi.org/10.1016/j.engfailanal.2011.02.004.

10.1016/j.engfailanal.2011.02.004
12

AIAG and VDA, Failure Mode and Effects Analysis: FMEA Handbook, 1st Edition, Automotive Industry Action Group and Verband der Automobilindustrie, Southfield, MI, USA; Berlin, Germany, 2019.

13

IEA PVPS, Service Life Estimation for Photovoltaic Modules, Report IEA-PVPS T13-16:2021, International Energy Agency Photovoltaic Power Systems Programme, Federal, NSW, Australia, 2021.

14

IEC, IEC 61724-1:2021, Photovoltaic System Performance – Part 1: Monitoring, International Electrotechnical Commission, Geneva, Switzerland, 2021.

15

Rapaport, S., Green, M., Ulbrich, C., Graniero, P., and Louwen, A., The Use of Advanced Algorithms in PV Failure Monitoring, Report IEA-PVPS T13-19:2021, International Energy Agency Photovoltaic Power Systems Programme, Federal, NSW, Australia, 2021.

16

Patil, R. B., Khalkar, A., Al-Dahidi, S., Pimpalkar, R. S., Bhandari, S., and Pecht, M., A Reliability and Risk Assessment of Solar Photovoltaic Panels Using a Failure Mode and Effects Analysis Approach: A Case Study, Sustainability, Vol. 16, No. 10, 4183, 2024, https://doi.org/10.3390/su16104183.

10.3390/su16104183
17

Kim, Y. B. and Kim, D. H., An Analysis of the Failure Modes Impacts in Grid-Connected Photovoltaic Power Generation System below 20 kW, Crisisonomy, Vol. 12, No. 3, pp. 157-167, 2016, https://doi.org/10.14251/crisisonomy.2016.12.3.157.

10.14251/crisisonomy.2016.12.3.157
18

Namikawa, S., Kinsey, G., Heath, G., Wade, A., Sinha, P., and Komoto, K., Photovoltaics and Firefighters’ Operations: Best Practices in Selected Countries, Report IEA-PVPS T12-09:2017, International Energy Agency Photovoltaic Power Systems Programme, Federal, NSW, Australia, 2017, https://doi.org/10.2172/1492000.

10.2172/1492000
19

Jahn, U., Herteleer, B., Tjengdrawira, C., Tsanakas, I., Richter, M., Dickeson, G., Astigarraga, A., Tanahashi, T., Valencia, F., Green, M., Anderson, A., Stridh, B., Alonso, A. R. L., Sangpongsanont, Y., Shiradkar, N., Cunow, E., Herz, M., Schill, C., Neukomm, R., Lorenz, E., Berger, K. A., Moser, D., Parlevliet, D., Raghoebarsing, A., Urrejola, E., Whitney, E., and Ärlebäck, J. P., Guidelines for Operation and Maintenance of Photovoltaic Power Plants in Different Climates, Report IEA-PVPS T13-25:2022, International Energy Agency Photovoltaic Power Systems Programme, Federal, NSW, Australia, 2022.

20

Hong, Y. Y. and Pula, R. A., Methods of Photovoltaic Fault Detection and Classification: A Review, Energy Reports, Vol. 8, pp. 5898-5929, 2022, https://doi.org/10.1016/j.egyr.2022.04.043

10.1016/j.egyr.2022.04.043
Information
  • Publisher :Korean Solar Energy Society
  • Publisher(Ko) :한국태양에너지학회
  • Journal Title :Journal of the Korean Solar Energy Society
  • Journal Title(Ko) :한국태양에너지학회 논문집
  • Volume : 46
  • No :3
  • Pages :177-191
  • Received Date : 2026-04-08
  • Revised Date : 2026-05-08
  • Accepted Date : 2026-05-21
  • DOI :https://doi.org/10.7836/kses.2026.46.3.177
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