Solar Photovoltaic Asset Management Optimization: Performance Degradation Quantification and Policy Response Strategy

Jeonghak Yu; ChoonSung Kim; Byungwoo Park; Taesik Park

doi:10.21218/CPR.2026.14.3.120

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2026 Vol.14, Issue 3 Preview Page

Solar Photovoltaic Asset Management Optimization: Performance Degradation Quantification and Policy Response Strategy 태양광발전소 자산관리 최적화: 성능저하 정량화 및 정책 대응 전략 연구

30 September 2026. pp. 120-127

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Abstract

Korea’s photovoltaic (PV) sector has rapidly expanded since the mid‑2000s, but now faces a shift from installation‑centered growth to scientific asset management under intensifying grid and policy constraints. This paper combines international PV degradation studies with long‑term Korean PV operation results to define realistic degradation scenarios and derive reliability‑centered maintenance (RCM) strategies. Based on Jordan and Kurtz’s meta‑analysis, crystalline silicon modules typically show 0.5–0.8%/year degradation, while Korean building‑attached and floating PV systems report roughly 10–20% cumulative loss over more than 10 years, depending on environment and maintenance quality. FMEA and RCM, following Stamatis and Arabian‑Hoseynabadi, are used to rank degradation drivers such as soiling, partial shading, contact faults, corrosion and inverter failures, indicating that targeted actions on top‑ranked modes can avoid a substantial portion of performance loss. Life‑cycle cost analysis grounded in RCM and predictive‑maintenance literature suggests that shifting from corrective and time‑based maintenance to condition‑based and AI‑assisted strategies can reduce O&M cost by about 20–40% and raise availability from roughly 85–90% to 95–99%. IoT‑based monitoring, machine‑learning‑based forecasting and digital twins are reviewed as key enablers for early fault detection, operation optimization and curtailment‑aware planning. Recent reports on Korean grid bottlenecks and curtailment, particularly in the Jeolla region, are finally used to build revenue‑risk scenarios, showing that maintaining annual degradation near 0.5–0.8% and reducing O&M cost by at least 20% are practical survival conditions for PV assets under rising curtailment and price volatility.

Keywords

Solar photovoltaic power plants

asset management

performance degradation

reliability‑centered maintenance

digital twin

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Information

Publisher :Korea Photovoltaic Society
Publisher(Ko) :한국태양광발전학회
Journal Title :Current Photovoltaic Research
Volume : 14
No :3
Pages :120-127
Received Date : 2026-04-08
Revised Date : 2026-05-19
Accepted Date : 2026-05-19
DOI :https://doi.org/10.21218/CPR.2026.14.3.120

Current Photovoltaic Research ISSN:2288-3274(Print) 2508-125X(Online)

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