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arXiv 1909.01660physics.app-phphysics.data-an
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使用贝叶斯优化最小化双面太阳能电池板阵列的均衡电力成本

Minimising the Levelised Cost of Electricity for Bifacial Solar Panel Arrays using Bayesian Optimisation

Peter Tillmann, Klaus Jäger, Christiane Becker

摘要:

双面太阳能组件技术是光伏(PV)领域一个快速增长的市场。通过利用照射在模块的正面和背面上的光,可以在几乎没有额外成本的情况下克服传统单面太阳能模块的实际限制。然而,优化大型双面太阳能发电厂的最小平准化电力成本(LCOE)是具有挑战性的,因为有大量的自由参数,如模块倾斜角度和距离,模块和土地成本,周围环境的特征,天气条件和地理位置。我们提出了一个详细的照明模型双面光伏组件在一个大的光伏领域,并计算出每年的能源产量为例,为两个不同的气候位置。通过应用贝叶斯优化算法,我们在考虑模型中的土地成本的情况下,在这两个示例性位置处确定双面和单面光伏场的LCOE的全局最小值。我们发现,目前建立的设计指导方针的单面和双面太阳能发电场往往不产生最低LCOE。我们的算法发现太阳能电池板配置产生高达23%的低LCOE相比,建立的配置与模块倾斜角等于纬度和模块的距离选择,使得没有相邻的太阳能电池板的相互阴影发生在冬至。我们的算法使用户能够为地球上大多数地区的单面和双面大型太阳能发电厂提取明确的设计指南,并进一步加速具有竞争力的光伏系统的开发。

英文摘要:

Bifacial solar module technology is a quickly growing market in the photovoltaics (PV) sector. By utilising light impinging on both, front and back sides of the module, actual limitations of conventional monofacial solar modules can be overcome at almost no additional costs. Optimising large-scale bifacial solar power plants with regard to minimum levelised cost of electricity (LCOE), however, is challenging due to the vast amount of free parameters such as module inclination angle and distance, module and land costs, character of the surroundings, weather conditions and geographic position. We present a detailed illumination model for bifacial PV modules in a large PV field and calculate the annual energy yield exemplary for two locations with different climates. By applying the Bayesian optimisation algorithm we determine the global minimum of the LCOE for bifacial and monofacial PV fields at these two exemplary locations considering land costs in the model. We find that currently established design guidelines for mono- and bifacial solar farms often do not yield the minimum LCOE. Our algorithm finds solar panel configurations yielding up to 23 % lower LCOE compared to the established configuration with the module tilt angle equal to the latitude and the module distance chosen such that no mutual shading of neighboring solar panels occurs at winter solstice. Our algorithm enables the user to extract clear design guidelines for mono- and bifacial large-scale solar power plants for most regions on Earth and further accelerates the development of competitively viable photovoltaic systems.

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