Hossain Mohammad Akram, Xu Yifan, Peshek Timothy J, Ji Liang, Abramson Alexis R, French Roger H
Department of Mechanical and Aerospace Engineering, Case Western Reserve University, Cleveland, Ohio, United States of America; Solar Durability and Lifetime Extension (SDLE) Center, Case Western Reserve University, Cleveland, Ohio, United States of America.
Solar Durability and Lifetime Extension (SDLE) Center, Case Western Reserve University, Cleveland, Ohio, United States of America; Center for Statistical Research, Computing and Collaboration, Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, Ohio, United States of America.
PLoS One. 2015 Jul 6;10(7):e0131279. doi: 10.1371/journal.pone.0131279. eCollection 2015.
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.
对于配备微型逆变器的光伏系统而言，微型逆变器在实际应用中的性能、耐用性和可靠性是至关重要的问题。我们在凯斯西储大学的太阳能耐久性与寿命延长（SDLE）太阳能农场中，基于2013年7月至10月期间微型逆变器和光伏组件每分钟的功率及热数据，以及日照和环境数据，对连接到8个不同品牌光伏组件的24个新型微型逆变器（Enphase M215）在双轴跟踪器上的热性能进行了数据驱动研究。分析显示了微型逆变器温度与环境温度、光伏组件温度、辐照度及光伏系统交流功率之间关联的强度。协变量的重要性按顺序排列。基于稳定的太阳正午时间数据开发并测试了一个多元回归模型，该模型既给出了一个预测典型当地条件下微型逆变器温度的总体函数，又给出了反映与研究中8个光伏组件品牌相连的微型逆变器温度精确预测的系数调整。该模型能够在类似气候条件下预测Enphase M215的内部温度，并且可以扩展用于预测固定支架和屋顶光伏系统中的微型逆变器温度。这项研究具有基础性意义，因为基于设备寿命后期数据构建的类似模型可能会揭示性能退化中的潜在影响因素。
