Presenting a Model to Predict Changing Snow Albedo for Improving Photovoltaic Performance Simulation Article Swipe
C. D. Pike
,
Daniel Riley
,
Henry Toal
,
Laurie Burnham
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/solar4030019
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/solar4030019
As photovoltaic (PV) deployment increases worldwide, PV systems are being installed more frequently in locations that experience snow cover. The higher albedo of snow, relative to the ground, increases the performance of PV systems in northern and high-altitude locations by reflecting more light onto the PV modules. Accurate modeling of the snow’s albedo can improve estimates of PV system production. Typical modeling of snow albedo uses a simple two-value model that sets the albedo high when snow is present, and low when snow is not present. However, snow albedo changes over time as snow settles and melts and a binary model does not account for transitional changes, which can be significant. Here, we present and validate a model for estimating snow albedo as it changes over time. The model is simple enough to only require daily snow depth and hourly average temperature data, but can be improved through the addition of site-specific factors, when available. We validate this model to quantify its ability to more accurately predict snow albedo and compare the model’s performance against satellite imagery-based methods for obtaining historical albedo data. In addition, we perform modeling using the System Advisor Model (SAM) to show the impact of changes in albedo on energy modeling for PV systems. Overall, our albedo model has a significantly improved ability to predict the solar insolation on PV modules in real time, especially on bifacial PV modules where reflected irradiance plays a larger role in energy production.
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Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/solar4030019
- OA Status
- diamond
- Cited By
- 2
- References
- 23
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4401636045
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4401636045Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/solar4030019Digital Object Identifier
- Title
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Presenting a Model to Predict Changing Snow Albedo for Improving Photovoltaic Performance SimulationWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-08-16Full publication date if available
- Authors
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C. D. Pike, Daniel Riley, Henry Toal, Laurie BurnhamList of authors in order
- Landing page
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https://doi.org/10.3390/solar4030019Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
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diamondOpen access status per OpenAlex
- OA URL
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https://doi.org/10.3390/solar4030019Direct OA link when available
- Concepts
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Snow, Albedo (alchemy), Environmental science, Photovoltaic system, Meteorology, Irradiance, Atmospheric sciences, Remote sensing, Geology, Geography, Engineering, Performance art, Art history, Physics, Electrical engineering, Art, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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2Total citation count in OpenAlex
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2025: 2Per-year citation counts (last 5 years)
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23Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| primary_location.landing_page_url | https://doi.org/10.3390/solar4030019 |
| publication_date | 2024-08-16 |
| publication_year | 2024 |
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