垂直农业光伏系统微气候的计算流体动力学模拟
Computational fluid dynamics modelling of microclimate for a vertical agrivoltaic system
摘要:
世界人口的不断增长导致能源和粮食需求的不断增加。这些日益增长的需求导致了激烈的土地使用冲突,因为我们需要农业土地用于粮食生产,同时努力实现可再生能源系统,如大规模太阳能光伏系统,这在大多数情况下也需要农业平地来实施。因此,必须确定粮食和能源部门之间的相互关系,并制定明智的解决方案,以实现粮食和能源安全等全球目标。在支持粮食和能源安全以及支持水安全方面显示出有希望的潜力的技术是农业光伏系统。这项技术将传统的农业活动与光伏系统在同一块土地上结合起来。了解AV系统中的小气候条件对于准确评估作物产量潜力以及PV系统的能量性能至关重要。然而,农业光伏系统下的微气候条件的复杂机制是一个欠发达的研究领域。在这项研究中,计算流体动力学(CFD)模型的垂直AV系统的开发和验证。计算流体力学模型显示,光伏组件温度估计误差在0-2 °C之间,地面温度误差在0-1 °C之间。由于垂直模块而产生的阴影使太阳强度降低了38%。CFD建模可以被看作是一个强大的方法来分析小气候参数和评估AV系统的性能。
英文摘要:
The increasing worldwide population leads to a constant increase in energy and food demand. These increasing demands have led to fierce land-use conflicts as we need agricultural land for food production while striving towards renewable energy systems such as large-scale solar photovoltaic (PV) systems, which also require in most of the cases agricultural flat land for implementation. It is therefore essential to identify the interrelationships between the food, and energy sectors and develop intelligent solutions to achieve global goals such as food and energy security. A technology that has shown promising potential in supporting food, and energy security, as well as support water security, is agrivoltaic (AV) systems. This technology combines conventional farm activities with PV systems on the same land. Understanding the microclimatic conditions in an AV system is essential for an accurate assessment of crop yield potential as well as for the energy performance of the PV systems. Nevertheless, the complex mechanisms governing the microclimatic conditions under agrivoltaic systems represent an underdeveloped research area. In this study, a computational fluid dynamics (CFD) model for a vertical AV system is developed and validated. The CFD model showed PV module temperature estimation errors in the order of 0-2 °C and ground temperature errors in the order of 0-1 °C. The shadings that occurred due to the vertical module had a reduction of the solar intensity of 38%. CFD modelling can be seen as a robust approach to analysing microclimatic parameters and assessing AV systems performances.
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