Validation of Vertical Bifacial Agrivoltaic and Other Systems Modelling

Silvia Ma Lu, S. Zainali, Elin Sundström, Anton Nygren, B. Stridh, A. Avelin, P. Campana
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Abstract

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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垂直双面农用光伏及其他系统建模验证
在太阳能光伏与农业活动相结合的农业光伏系统中,地面反照率主要由作物及其季节性变化决定。本研究利用双面光伏模型(AgriOptiCE)研究了固定反照率、卫星反照率和每小时测量的反照率对垂直双面系统和单轴跟踪系统性能的影响。该模型使用 Matlab® 开发,部分基于开源软件包 pvlib。AgriOptiCE 首先通过将估计的前后辐照度与美国戈尔登市一轴跟踪器站点和瑞典韦斯特罗斯市垂直农业光伏系统在特定时间段的现场测量值进行比较进行验证。此外,使用 AgriOptiCE 对垂直农业光伏系统和同一地点的传统地面固定倾斜系统的光伏系统输出功率进行了估算。验证结果表明,拟议模型在估算前后辐照度和功率输出方面具有很高的准确性,所有研究案例的 R2 均大于 0.85。研究结果表明,测量得出的反照率精度最高,而卫星得出的反照率由于空间、时间和光谱分辨率较低,结果较差。在对双面光伏系统进行年度评估时,不推荐使用固定反照率,因为它无法考虑雪情和日变化,导致总体精度较低。
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