Validation of Vertical Bifacial Agrivoltaic and Other Systems Modelling
Effect of Dynamic Albedo on Irradiance and Power Output Estimations
DOI:
https://doi.org/10.52825/agripv.v2i.1004Keywords:
Agrivoltaics, Albedo, AgriOptiCE, Modelling and Simulation, Bifacial PVAbstract
In agrivoltaic systems combining solar photovoltaic and agricultural activities, ground albedo is mainly characterized by the crop and its seasonal variations. This study examines the effects of using fixed, satellite-derived, and hourly measured albedo on the performance of a vertical bifacial system and a 1-axis tracking system using a bifacial photovoltaic model (AgriOptiCE). The model is developed with Matlab® and partially based on the open-source package pvlib. AgriOptiCE is firstly validated by comparing estimated front and rear irradiances with on-site measurements for specific periods from a 1-axis tracker site in Golden, USA and a vertical agrivoltaic system in Västerås, Sweden. Furthermore, photovoltaic system power output estimations using AgriOptiCE are also validated for the vertical agrivoltaic system and the conventional ground-mounted fixed-tilt system at the same location. The validations demonstrate the high accuracy of the proposed model in estimating front and rear irradiances and power output, obtaining R2 > 0.85 for all the studied cases. The study results indicate that measured albedo provides the highest accuracy, while satellite-derived albedo has poorer results due to the broader spatial, temporal, and spectral resolution. Fixed albedo is not recommended for yearly assessment of bifacial PV systems because it cannot account for snow events and daily variations, resulting in lower overall accuracy.
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Chiodetti M., Lindsay, A., Dupeyrat, P., Binesti, D., Lutun, E., Khalid, R., Mousel, S. “PV Bifacial Yield Simulation with a Variable Albedo Model”. 32nd European Photovoltaic Solar Energy Conference and Exhibition (pp. 1449-1455). (2016). doi: https://doi.org/10.4229/EUPVSEC20162016-5DP.1.4
L. Zheng, G. Zhao, J. Dong, Q. Ge, J.Tao, X. Zhang, et al. “Spatial, temporal, and spectral variations in albedo due to vegetation changes in China’s grasslands”. ISPRS J Photogramm Remote Sens, 152 (2019), pp. 1-12, doi: https://doi.org/10.1016/j.isprsjprs.2019.03.020
Sreenath, S., Sudhakar, K., & Yusop, A. F. “Performance assessment of conceptual bifacial solar PV system in varying albedo conditions. IOP Conference Series: Materials Science and Engineering”. 1078, p. 012033, (2021). doi: https://doi.org/10.1088/1757-899X/1078/1/012033
Nygren A., Sundström E. “Modelling bifacial photovoltaic systems: Evaluating the albedo impact on bifacial PV systems based on case studies in Denver, USA and Västerås, Sweden”. Master’s thesis. Mälardalen University, (2021).
Ayala, S., & Deline, C. (2020). NREL Bifacial Experimental Single-Axis Tracking Field. Retrieved April 11, 2021, from datahub.duramat.org: http://doi.org/10.21948/1787805
Schaaf, C., Wang, Z. (2015). MCD43A3 MODIS/Terra+Aqua BRDF/Albedo Daily L3 Global - 500m V006 [Data set]. NASA EOSDIS Land Processes DAAC. Accessed 2022-10-12 from https://doi.org/10.5067/MODIS/MCD43A3.006
Campana P., Stridh B., Amaducci S., Colauzzi, M. “Optimisation of vertically mounted agrivoltaic systems”. Journal of Cleaner Production, 325, 129091, (2021), doi: https://doi.org/10.1016/j.jclepro.2021.129091
William F. Holmgren, Clifford W. Hansen, and Mark A. Mikofski. “pvlib python: a python package for modeling solar energy systems.” Journal of Open Source Software, 3(29), 884, (2018), doi: https://doi.org/10.21105/joss.00884
Zainali, S., Ma Lu, S., Stridh, P., Avelin, A., Amaducci, S., Colauzzi, M., Campana, P. “Direct and diffuse shading factors modelling for the most representative agrivoltaic systems layouts”. Applied Energy, 339, 120981, (2023), doi: https://doi.org/10.1016/j.apenergy.2023.120981
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Copyright (c) 2024 Silvia Ma Lu, Sebastian Zainali, Elin Sundström, Anton Nygren, Bengt Stridh, Anders Avelin, Pietro Campana
This work is licensed under a Creative Commons Attribution 4.0 International License.
Funding data
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Energimyndigheten
Grant numbers 51000-1;52693-1 -
Svenska Forskningsrådet Formas
Grant numbers FR-2021/0005