Modeling soiling losses for rooftop PV systems in suburban areas with nearby forest in Madrid

Polo, Jesús; Martín-Chivelet, Nuria; Sanz-Saiz, Carlos; Alonso-Montesinos, Joaquín; López, Gabriel; Alonso-Abellá, M.; Battles, Francisco J.; Marzo, Aitor; Hanrieder, Natalie

doi:10.1016/j.renene.2021.06.085

Cited by 24 publications

(2 citation statements)

References 23 publications

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“…The Kimber model is an empirical model in which the assumed cleaning mechanisms are limited to manual cleaning and cleaning by precipitation. It assumes a constant soiling loss rate (SLR, fraction of energy lost due to one day of soiling) which depends on the geographical region as well as the soiling environment type (Polo et al, 2021). Two different fixed SLR have been tested (0.0001/d and 0.0002/d).…”

Section: Discussionmentioning

confidence: 99%

Why Natural Cleaning of Solar Collectors Cannot be Described Using Simple Rain Sum Thresholds

Hanrieder,

Wilbert,

Wolfertstetter

et al. 2021

Proceedings of the ISES Solar World Congress 2021

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This study investigates parameters describing the modelling of natural cleaning by precipitation in soiling models for solar collectors. Approaches assuming that the solar collector is cleaned completely if a daily rain sum threshold is exceeded are investigated with the help of more than three years of soiling and natural cleaning data at CIEMAT's Plataforma Solar de Almería in Spain. It is found that the natural cleaning completeness by rain cannot be described well by using only a threshold of the daily rain sum. We discuss the dependence on further parameters, e.g. the existing soiling levels, the rain direction dependent on wind speed, the collector orientation, the kind of soiling, the collector surface properties and several more. Considering the rain/wind and collector orientation is especially important for the modelling of natural cleaning of tracked collectors as the effective rain sum hitting the collector and the runoff speed is expected to change drastically with the orientation of the collector.

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Section: Discussionmentioning

confidence: 99%

Why Natural Cleaning of Solar Collectors Cannot be Described Using Simple Rain Sum Thresholds

Hanrieder,

Wilbert,

Wolfertstetter

et al. 2021

Proceedings of the ISES Solar World Congress 2021

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“…Recently, Smestad et al, [ 15 ] developed an empirical modeling approach for PV soiling losses, yet rather on the basis of optical characterization, in terms of both spectral and particle size distribution. Polo et al, [ 16 ] in contrast, focused on soiling loss modeling for rooftop PV applications in urban/suburban environment, evaluating two models (Kimber and HSU), determining that a cleaning threshold value in the range of 4–6 mm is adequate for accurate simulations/predictions and eventually pointing out the need of precise determination of deposition velocity. More recently, You et al [ 17 ] developed a modeling framework to predict PV soiling losses both in PV energy yield and economic terms, in function of relative humidity, precipitation, and PV array's tilt angle.…”

Section: Rationale and Objectivesmentioning

confidence: 99%

State‐of‐Play and Emerging Challenges in Photovoltaic Energy Yield Simulations: A Multi‐Case Multi‐Model Benchmarking Study

et al. 2022

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In the framework of the H2020 SERENDI‐PV project, it is aspired to tackle challenges in photovoltaic (PV) modeling and yield simulations, that are emerging today, on four interrelated aspects: i) improved modeling of loss/degradation mechanisms, ii) improved modeling of bifacial PV, floating PV, and building integrated photovoltaics systems, iii) solar resource and uncertainties modeling, and iv) financial risks modeling. As groundwork for this effort, a comprehensive 8‐month study is carried out, the results of which are presented in this article. The study has two parts and main objectives: i) a comprehensive survey addressed to multiple stakeholders, to identify and assess today's “best practices” and needs of the PV industry on PV energy yield simulations; ii) a multi‐model multi‐case benchmarking and evaluation study, i.e., of eight state‐of‐the‐art tools/software for PV energy yield simulations of seven real‐life PV systems addressing diverse “scenarios” (different climates, site characteristics, PV typologies, and technologies).

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An Overview of Dust Deposition Effect on Photovoltaic Performance in the Built Environment

Younis,

Idris,

Cotfas

et al. 2024

Lecture Notes in Civil Engineering

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Modeling soiling losses for rooftop PV systems in suburban areas with nearby forest in Madrid

Cited by 24 publications

References 23 publications

Why Natural Cleaning of Solar Collectors Cannot be Described Using Simple Rain Sum Thresholds

Why Natural Cleaning of Solar Collectors Cannot be Described Using Simple Rain Sum Thresholds

State‐of‐Play and Emerging Challenges in Photovoltaic Energy Yield Simulations: A Multi‐Case Multi‐Model Benchmarking Study

An Overview of Dust Deposition Effect on Photovoltaic Performance in the Built Environment

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