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Photosynthetically active radiation separation model for high-latitude regions in agrivoltaic systems modeling
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0003-4075-8855
School of Electrical Engineering and Automation, Harbin Institute of Technology 2 , Harbin, Heilongjiang, China.ORCID iD: 0000-0003-2162-6873
USDA ARS, Hydrology and Remote Sensing Laboratory 3 , Beltsville, Maryland 20705, USA.ORCID iD: 0000-0003-0748-5525
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0003-2225-029X
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2024 (English)In: Journal of Renewable and Sustainable Energy, E-ISSN 1941-7012, Vol. 16, no 1, article id 013503Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2024. Vol. 16, no 1, article id 013503
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-66129DOI: 10.1063/5.0181311ISI: 001163102700001Scopus ID: 2-s2.0-85185347410OAI: oai:DiVA.org:mdh-66129DiVA, id: diva2:1840657
Funder
Swedish Energy Agency, 52693-1Swedish Research Council Formas, FR-2021/0005Swedish Energy Agency, 51000-1Swedish Energy Agency, P2022-00809Available from: 2024-02-26 Created: 2024-02-26 Last updated: 2024-04-10Bibliographically approved
In thesis
1. Solar Irradiance Assessment in Agrivoltaic Systems: Understanding Photosynthetically Active Radiation Separation Models and Dynamic Crop Albedo Effect in Agrivoltaic Systems Modelling
Open this publication in new window or tab >>Solar Irradiance Assessment in Agrivoltaic Systems: Understanding Photosynthetically Active Radiation Separation Models and Dynamic Crop Albedo Effect in Agrivoltaic Systems Modelling
2024 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Agrivoltaics, also referred as agrivoltaic systems, present an appealing solution, owing to its dual land use and integrated food-energy system, for the shift to renewable energy. However, it raises concerns about the complex synergies and trade-offs between crop growth and solar photovoltaic panels. Crops grown under open-field traditional agriculture receive uniformly distributed Sun irradiance, whereas agrivoltaics introduces variable shadowing, which interferes with the homogeneity of light collected by crops. 

Agrivoltaics emphasises the significance of the diffuse irradiance component during shading conditions when direct irradiance is blocked by solar panels. Decomposition models are essential for estimating the diffuse light component from the global one. This thesis conducts a benchmarking investigation of state-of-the-art solar irradiance decomposition models to identify the most suitable ones for decomposing photosynthetically active radiation in specific Swedish sites. The results lead to a novel separation model that outperforms the top models revealed in the benchmarking analysis. Various scenarios common in agrivoltaic sites are used to test the applicability of the model and guide model selection based on available data. 

In agrivoltaic systems, where solar panels disrupt incoming sunlight to crops, the crop reflectivity or albedo influences solar panels, particularly those with bifacial solar cells. This thesis further investigates how ground-reflected irradiance components affect the front and rear sides of bifacial system designs under varied ground albedo circumstances. Using Agri-OptiCE®, this research examines how albedo data quality affects bifacial systems. The findings contribute to improve the precision of plane-of-array irradiance and power output estimations, hence aiding the practical implementation of agrivoltaic systems across the globe. 

Place, publisher, year, edition, pages
Västerås: Mälardalen University, 2024
Series
Mälardalen University Press Licentiate Theses, ISSN 1651-9256 ; 359
Keywords
Agrivoltaics, Albedo, Photosynthetically Active Radiation, Decomposition Model, Solar Energy
National Category
Energy Engineering
Research subject
Energy- and Environmental Engineering
Identifiers
urn:nbn:se:mdh:diva-66407 (URN)978-91-7485-645-3 (ISBN)
Presentation
2024-05-15, Paros, Mälardalens universitet, Västerås, 09:00 (English)
Opponent
Supervisors
Funder
Swedish Energy Agency, 52693-1
Available from: 2024-04-17 Created: 2024-04-10 Last updated: 2024-04-24Bibliographically approved

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Lu, Silvia MaZainali, SebastianStridh, BengtAvelin, AndersCampana, Pietro Elia

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