Linking lacunarity to inertial particle clustering: Applications in solar photovoltaics

The presence of wind-flung debris is inevitable in solar photovoltaic (PV) systems, negatively altering production and lifespan by way of adhesion ( i.e. soiling) and forceful particle impacts. The propensity and magnitude of particle-to-panel interactions is largely dependent on environmental and panel-invoked turbulence, ultimately dictating local debris concentration and trajectories. This study confronts the mechanisms leading to PV panel soiling by developing a lacunarity-based framework for particle heterogeneity quantifying preferential concentration within asymmetric panel wakes due to inertial coupling . Drawing from established studies in multi-phase homogeneous isotropic turbulence (HIT), presented analysis demonstrates lacunarity as a comparable measure to Voronoï distributions for understanding particle clustering. Considering benchmark data obtained in experimental particle-laden HIT flow, global particle heterogeneity is shown to correlate with R e λ and ϕ v dependencies observed through Voronoï tessellations. Further expanding to consider PV panel wakes, Voronoï analysis and lacunarity uncover location-dependent variations in local particle clustering relating to asymmetric turbulent wake features. In total, this work represents a novel perspective of characterizing particle-laden turbulent flow by way of lacunarity-based heterogeneity and motivates preferential concentration as a complex feature impacting particle trajectories in PV systems . • Lacunarity-based heterogeneity is a marker for clustering in particle-laden flows. • Asymmetric solar panel wake turbulence modifies downstream debris clustering. • Clustering analysis in solar panel wakes informs soiling and structural impacts.

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Publication Details

Journal
International Journal of Multiphase Flow
Published
2025-03-16
DOI
https://doi.org/10.1016/j.ijmultiphaseflow.2025.105218
Primary Topic
Particle Dynamics in Fluid Flows
Type
article
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article

Linking lacunarity to inertial particle clustering: Applications in solar photovoltaics

Alberto Aliseda, Ryan Scott, Marc Calaf, Sarah E. Smith et al.
International Journal of Multiphase Flow
Particle Dynamics in Fluid Flows
article

Linking lacunarity to inertial particle clustering: Applications in solar photovoltaics

Alberto Aliseda, Ryan Scott, Marc Calaf, Sarah E. Smith, Raúl Bayoán Cal, Martín Obligado, Henda Djeridi
article en

Abstract

The presence of wind-flung debris is inevitable in solar photovoltaic (PV) systems, negatively altering production and lifespan by way of adhesion ( i.e. soiling) and forceful particle impacts. The propensity and magnitude of particle-to-panel interactions is largely dependent on environmental and panel-invoked turbulence, ultimately dictating local debris concentration and trajectories. This study confronts the mechanisms leading to PV panel soiling by developing a lacunarity-based framework for particle heterogeneity quantifying preferential concentration within asymmetric panel wakes due to inertial coupling . Drawing from established studies in multi-phase homogeneous isotropic turbulence (HIT), presented analysis demonstrates lacunarity as a comparable measure to Voronoï distributions for understanding particle clustering. Considering benchmark data obtained in experimental particle-laden HIT flow, global particle heterogeneity is shown to correlate with R e λ and ϕ v dependencies observed through Voronoï tessellations. Further expanding to consider PV panel wakes, Voronoï analysis and lacunarity uncover location-dependent variations in local particle clustering relating to asymmetric turbulent wake features. In total, this work represents a novel perspective of characterizing particle-laden turbulent flow by way of lacunarity-based heterogeneity and motivates preferential concentration as a complex feature impacting particle trajectories in PV systems . • Lacunarity-based heterogeneity is a marker for clustering in particle-laden flows. • Asymmetric solar panel wake turbulence modifies downstream debris clustering. • Clustering analysis in solar panel wakes informs soiling and structural impacts.

International Journal of Multiphase FlowVol. 188
Institut polytechnique de Grenoble (FR), Portland State University (US), Centre National de la Recherche Scientifique (FR), University of Washington (US), University of Utah (US), Université de Lille (FR), Laboratoire de Mécanique des Fluides de Lille - Kampé de Fériet (FR), École Centrale de Lille (FR), Université Grenoble Alpes (FR)
Affordable and clean energy
Openalex Percentile: Top 93%
Particle Dynamics in Fluid Flows
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