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Lanai High-Density Irradiance Sensor Network for characterizing solar resource variability of MW-scale PV system

机译:用于表征兆瓦级光伏系统太阳能资源可变性的Lanai高密度辐照度传感器网络

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Sandia National Laboratories (Sandia) and SunPower Corporation (SunPower) have completed design and deployment of an autonomous irradiance monitoring system based on wireless mesh communications and a battery operated data acquisition system. The Lanai High-Density Irradiance Sensor Network is comprised of 24 LI-COR® irradiance sensors (silicon pyranometers) polled by 19 RF Radios. The system was implemented with commercially available hardware and custom developed LabVIEW applications. The network of solar irradiance sensors was installed in January 2010 around the periphery and within the 1.2 MW ac La Ola PV plant on the island of Lanai, Hawaii. Data acquired at 1 second intervals is transmitted over wireless links to be time-stamped and recorded on SunPower data servers at the site for later analysis. The intent is to study power and solar resource data sets to correlate the movement of cloud shadows across the PV array and its effect on power output of the PV plant. The irradiance data sets recorded will be used to study the shape, size and velocity of cloud shadows. This data, along with time-correlated PV array output data, will support the development and validation of a PV performance model that can predict the short-term output characteristics (ramp rates) of PV systems of different sizes and designs. This analysis could also be used by the La Ola system operator to predict power ramp events and support the function of the future battery system. This experience could be used to validate short-term output forecasting methodologies.
机译:桑迪亚国家实验室(Sandia)和SunPower Corporation(SunPower)已完成基于无线网状通信和电池供电的数据采集系统的自主辐照度监控系统的设计和部署。拉奈岛高密度辐照度传感器网络由24个LI-COR®辐照度传感器(硅辐射计)组成,由19个射频无线电轮询。该系统是使用市售的硬件和定制开发的LabVIEW应用程序实现的。太阳辐照度传感器网络已于2010年1月安装在夏威夷拉奈岛外围和1.2兆瓦ac La Ola光伏电站内。以1秒为间隔获取的数据将通过无线链路传输,以进行时间戳记并记录在站点的SunPower数据服务器上,以供以后分析。目的是研究功率和太阳能数据集,以将云影在光伏阵列上的移动及其对光伏电站功率输出的影响关联起来。记录的辐照度数据集将用于研究云影的形状,大小和速度。该数据以及与时间相关的光伏阵列输出数据,将支持光伏性能模型的开发和验证,该模型可以预测不同尺寸和设计的光伏系统的短期输出特性(上升率)。 La Ola系统运营商也可以使用此分析来预测功率斜坡事件并支持未来电池系统的功能。这些经验可以用来验证短期产量预测方法。

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