Real-world performance, durability and reliability of microinverters are critical concerns for microinverter-equipped photovoltaic systems. We conducted a data-driven study of the thermal performance of 24 new microinverters (Enphase M215) connected to 8 different brands of PV modules on dual-axis trackers at the Solar Durability and Lifetime Extension (SDLE) SunFarm at Case Western Reserve University, based on minute by minute power and thermal data from the microinverters and PV modules along with insolation and environmental data from July through October 2013. The analysis shows the strengths of the associations of microinverter temperature with ambient temperature, PV module temperature, irradiance and AC power of the PV systems. The importance of the covariates are rank ordered. A multiple regression model was developed and tested based on stable solar noon-time data, which gives both an overall function that predicts the temperature of microinverters under typical local conditions, and coefficients adjustments reecting refined prediction of the microinverter temperature connected to the 8 brands of PV modules in the study. The model allows for prediction of internal temperature for the Enphase M215 given similar climatic condition and can be expanded to predict microinverter temperature in fixed-rack and roof-top PV systems. This study is foundational in that similar models built on later stage data in the life of a device could reveal potential influencing factors in performance degradation.
展开▼
机译:微型逆变器的实际性能,耐用性和可靠性是配备微型逆变器的光伏系统的关键问题。我们对案例研究进行了数据驱动的研究,研究了24种新型微型逆变器(Enphase M215)的热性能,该逆变器与双轴跟踪器上的8个不同品牌的PV模块连接,位于Case Western Reserve University的Solar Durability and Lifetime Extension(SDLE)SunFarm。从微逆变器和PV模块获取的每分钟的功率和热数据,以及2013年7月至2013年10月的日照和环境数据。分析显示了微逆变器温度与环境温度,PV组件温度,辐照度和交流功率之间的关联强度光伏系统。协变量的重要性按等级排序。基于稳定的太阳正午时间数据开发并测试了多元回归模型,该模型具有预测典型局部条件下微逆变器温度的整体功能,以及反映与8个品牌的微逆变器温度相关的精确调整的系数调整。研究中的光伏组件。在相似的气候条件下,该模型可以预测Enphase M215的内部温度,并且可以扩展以预测固定机架和屋顶光伏系统中的微型逆变器温度。这项研究的基础是,基于设备寿命中后期数据的类似模型可以揭示性能下降的潜在影响因素。
展开▼