2023
DOI: 10.1016/j.ress.2022.108896
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Bayesian updating of solar panel fragility curves and implications of higher panel strength for solar generation resilience

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Cited by 12 publications
(3 citation statements)
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References 55 publications
(36 reference statements)
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“…Solar panels and wind turbines are directly exposed to the environment, and these leading renewable generation methods are therefore much more vulnerable to wind hazards than conventional power plants 84,85 . Historical data from the US East Coast and the Caribbean region highlight that current solar panels broadly perform below the designed reliability requirement during hurricane events 86 . During Hurricane Maria in 2017, one-third of solar farms in Puerto Rico reported over 50% damaged panels.…”
Section: Superimposed Risksmentioning
confidence: 99%
“…Solar panels and wind turbines are directly exposed to the environment, and these leading renewable generation methods are therefore much more vulnerable to wind hazards than conventional power plants 84,85 . Historical data from the US East Coast and the Caribbean region highlight that current solar panels broadly perform below the designed reliability requirement during hurricane events 86 . During Hurricane Maria in 2017, one-third of solar farms in Puerto Rico reported over 50% damaged panels.…”
Section: Superimposed Risksmentioning
confidence: 99%
“…Quantitative resilience metrics evaluate the effect of various strategies to enhance operational resilience and infrastructure, such as reinforcing the power grid considering the resilience capabilities [56] including withstanding [57], absorptive [58], adaptive [28], restorative [59], as well as resilience dimensions, known as the 4Rs of resilience, namely robustness [49], redundancy [50], resourcefulness [51], and rapidity [60]. Recent research studies have paid particular attention to quantifying resilience metrics for both operational and infrastructure sectors using statistical analysis, such as the systematic online probabilistic resilience assessment framework [61], resilience-based risk assessment method [62,63], system fragility-based approaches [64,65], graph theory-based methods [66], simulation-based models [67], and fuzzy logic strategies [68,69]. Quantitative resilience metrics are characterized by certain attributes that indicate the type, extent, and techniques employed in their creation as follows.…”
Section: Quantitative Resilience Metricsmentioning
confidence: 99%
“…Various empirical methods have been developed based on resilience concepts or field experiences to evaluate engineering systems. Empirical methods are divided into definite 9,[32][33][34][35][36] and probable [37][38][39][40] sections, each being used for the description of the behavior of static and dynamic systems. In the definite methods, the uncertainties such as the probability of disturbance are not considered.…”
Section: Introductionmentioning
confidence: 99%