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Photosynthetically active radiation separation model for high-latitude regions in agrivoltaic systems modeling

Lu, Silvia Ma (author)
Mälardalens universitet,Framtidens energi
Yang, D. (author)
School of Electrical Engineering and Automation, Harbin Institute of Technology 2 , Harbin, Heilongjiang, China
Anderson, M. C. (author)
USDA ARS, Hydrology and Remote Sensing Laboratory 3 , Beltsville, Maryland 20705, USA
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Zainali, Sebastian, 1995- (author)
Mälardalens universitet,Framtidens energi
Stridh, Bengt, Universitetslektor (author)
Mälardalens universitet,Framtidens energi
Avelin, Anders, 1966- (author)
Mälardalens universitet,Framtidens energi
Campana, Pietro Elia, 1984- (author)
Mälardalens universitet,Framtidens energi
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 (creator_code:org_t)
2024
2024
English.
In: Journal of Renewable and Sustainable Energy. - 1941-7012. ; 16:1
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Photosynthetically active radiation is a key parameter for determining crop yield. Separating photosynthetically active radiation into direct and diffuse components is significant to agrivoltaic systems. The varying shading conditions caused by the solar panels produce a higher contribution of diffuse irradiance reaching the crops. This study introduces a new separation model capable of accurately estimating the diffuse component from the global photosynthetically active radiation and conveniently retrievable meteorological parameters. The model modifies one of the highest-performing separation models for broadband irradiance, namely, the Yang2 model. Four new predictors are added: atmospheric optical thickness, vapor pressure deficit, aerosol optical depth, and surface albedo. The proposed model has been calibrated, tested, and validated at three sites in Sweden with latitudes above 58 °N, outperforming four other models in all examined locations, with R2 values greater than 0.90. The applicability of the developed model is demonstrated using data retrieved from Sweden's first agrivoltaic system. A variety of data availability cases representative of current and future agrivoltaic systems is tested. If on-site measurements of diffuse photosynthetically active radiation are not available, the model calibrated based on nearby stations can be a suitable first approximation, obtaining an R2 of 0.89. Utilizing predictor values derived from satellite data is an alternative method, but the spatial resolution must be considered cautiously as the R2 dropped to 0.73.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Maskinteknik -- Energiteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Mechanical Engineering -- Energy Engineering (hsv//eng)

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