TY - JOUR
T1 - Effective DC power rating of PV arrays under challenging operating conditions in desert and tropical regions
AU - Angulo, José R.
AU - Conde, Luis A.
AU - Pleshcheva, Vlada
AU - García, Michael A.
AU - Gosgot, Wildor
AU - Barrena, Miguel
AU - Muñoz-Cerón, Emilio
AU - de la Casa, Juan
AU - Töfflinger, Jan A.
N1 - Publisher Copyright:
© 2025 Elsevier Ltd
PY - 2026/2/15
Y1 - 2026/2/15
N2 - The accurate characterization of photovoltaic (PV) system performance is essential for diagnostics, benchmarking, and O&M. Conventional performance ratio (PR) metrics, standardized in IEC 61724–1, are widely used but remain highly sensitive to irradiance variability, thermal dynamics, and curtailment, often generating false alarms in challenging climates. This study extends a recently proposed statistical method for estimating the effective DC power rating (P0,eff), the array's nominal power corrected to standard test conditions, by testing multiple irradiance thresholds at two contrasting Peruvian sites: the arid desert of Lima and the tropical rainforest of Chachapoyas. Results show that P0,eff provides a more stable indicator than PR and PR25′, with uncertainties below 3 %. High thresholds (>800 W/m2) yielded the lowest variability (≈1 %), while intermediate thresholds (>600 W/m2) balanced stability with greater data coverage. In Lima, the method captured capacity losses from dust deposition, whereas in Chachapoyas it proved robust under persistent cloudiness, where PR fluctuated strongly. A monitoring protocol is proposed in which PR serves as the primary indicator and P0,eff validates alarms when PR falls below a threshold. This combined approach reduces false alarms while retaining sensitivity to genuine performance losses, offering a practical and climate-resilient tool for PV monitoring and O&M optimization.
AB - The accurate characterization of photovoltaic (PV) system performance is essential for diagnostics, benchmarking, and O&M. Conventional performance ratio (PR) metrics, standardized in IEC 61724–1, are widely used but remain highly sensitive to irradiance variability, thermal dynamics, and curtailment, often generating false alarms in challenging climates. This study extends a recently proposed statistical method for estimating the effective DC power rating (P0,eff), the array's nominal power corrected to standard test conditions, by testing multiple irradiance thresholds at two contrasting Peruvian sites: the arid desert of Lima and the tropical rainforest of Chachapoyas. Results show that P0,eff provides a more stable indicator than PR and PR25′, with uncertainties below 3 %. High thresholds (>800 W/m2) yielded the lowest variability (≈1 %), while intermediate thresholds (>600 W/m2) balanced stability with greater data coverage. In Lima, the method captured capacity losses from dust deposition, whereas in Chachapoyas it proved robust under persistent cloudiness, where PR fluctuated strongly. A monitoring protocol is proposed in which PR serves as the primary indicator and P0,eff validates alarms when PR falls below a threshold. This combined approach reduces false alarms while retaining sensitivity to genuine performance losses, offering a practical and climate-resilient tool for PV monitoring and O&M optimization.
KW - Effective DC power rating
KW - IEC 61724–1
KW - Non-parametric statistics
KW - Performance metrics reliability
KW - Performance ratio
KW - PV generator assessment
UR - https://www.scopus.com/pages/publications/105024557614
U2 - 10.1016/j.renene.2025.124981
DO - 10.1016/j.renene.2025.124981
M3 - Article
AN - SCOPUS:105024557614
SN - 0960-1481
VL - 258
JO - Renewable Energy
JF - Renewable Energy
M1 - 124981
ER -