Optimised Tracker Algorithm Enables an Agri-PV Plant With Organic Strip Farming and Solar Electricity Generation

Antonius R. Burgers, Eric Tonnaer, Carel Kooij, B. V. Van Aken
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Abstract

When constructing solar farms, it is important to consider the impact on our living environment and on the use of farmland, ideally contributing to biodiversity and maintaining soil quality. In the Symbizon project, we are developing algorithms for the solar trackers that will balance both crop demands and solar electricity yield. We have simulated the soil irradiance in the farmed strips and determined the annual electricity yield. We varied the algorithm that determines the tracker angle as function of the conditions, including position of the sun, amount of irradiance on panels or on the soil etc. We compare the electricity yield with that of a HSAT PV system with twice the number of trackers and the soil irradiance with that of a field without PV. We show that, for all investigated algorithms, the soil irradiance is at least 60% of the single-use strip farming irradiance. In addition, the electricity production of the agri-PV system varies between 20% and 66% of an optimised HSAT PV system without farming. The next step will be to also optimise the tracker strategy to adapt to local conditions, e.g., allowing more light on the crops during low temperature humid conditions, but shading crops during hot and dry conditions, taking into account actual crop models instead of soil irradiance. Combined, the sum of the relative crop and electricity yield is always larger than 100%, showing that these agri-PV systems make better use of the available land for food and energy harvesting.
经过优化的跟踪器算法实现了有机带状耕作和太阳能发电的农业光伏电站
在建设太阳能发电场时,必须考虑到对我们的生活环境和农田使用的影响,最好能促进生物多样性和保持土壤质量。在 Symbizon 项目中,我们正在为太阳能跟踪器开发算法,以平衡作物需求和太阳能发电量。我们模拟了耕作带的土壤辐照度,并确定了年发电量。我们根据太阳位置、电池板或土壤上的辐照度等条件,改变了确定跟踪器角度的算法。我们将发电量与两倍于跟踪器数量的 HSAT 光伏系统进行了比较,并将土壤辐照度与无光伏的田地进行了比较。我们发现,在所有研究的算法中,土壤辐照度至少是单一用途带状耕作辐照度的 60%。此外,农业光伏系统的发电量是优化 HSAT 光伏系统的 20% 至 66%。下一步还将优化跟踪器策略,以适应当地条件,例如,在低温潮湿条件下,允许作物获得更多光照,而在炎热干燥条件下,则为作物遮阳,同时考虑实际作物模型,而不是土壤辐照度。综合来看,相对作物产量和发电量的总和总是大于 100%,这表明这些农业光伏系统能更好地利用现有土地,既能收获粮食,又能获取能源。
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