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Mitigating hail damage in solar modules: A study on the efficacy of dynamic impact angle

Author

Listed:
  • Bhattacharya, Abhirup
  • Gnanaraj, Sujita
  • Tabrizi, Shahand Khalilzadeh
  • Bhattacharya, Subhamoy
  • Roy, Debdulal

Abstract

Hail damage is an escalating threat to solar photovoltaic installations, leading to significant economic losses and downtime. This study evaluates dynamic stowing (panel-angle adjustment) as a primary mitigation strategy, in combination with material enhancements, to reduce hail-induced damage. Finite element simulations show that impact angle dominates damage severity: grazing impacts at 15° require 3–5 times greater energy than normal incidence to initiate glass failure, consistent with sin2θ scaling. A comprehensive finite element framework is developed to couple hailstone kinetics (size, velocity, angle) with module response (stress evolution, failure initiation), driven by meteorological data from Texas hail events. The model incorporates swath geometry, hail energy decay with distance, and empirical variability in hail size and angle. Panel-level damage ratios are upscaled to farm-wide metrics using Monte Carlo ensembles, which reveal substantial uncertainty driven by heterogeneous hail populations and spatial structure. Results show that stowing to 75° can reduce farm-wide damage by up to 80%, outperforming the 30–40% benefit from increasing glass thickness alone. Validation against four documented hail events demonstrates good agreement between predicted and observed damage. The findings establish a technical and economic case for prioritising active impact-angle control via intelligent stowing in hail-exposed solar farms.

Suggested Citation

  • Bhattacharya, Abhirup & Gnanaraj, Sujita & Tabrizi, Shahand Khalilzadeh & Bhattacharya, Subhamoy & Roy, Debdulal, 2026. "Mitigating hail damage in solar modules: A study on the efficacy of dynamic impact angle," Renewable Energy, Elsevier, vol. 266(C).
  • Handle: RePEc:eee:renene:v:266:y:2026:i:c:s0960148126004684
    DOI: 10.1016/j.renene.2026.125643
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