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A New Method for Estimating Insolation Based on PV-Module Currents in a Cluster of Stand-Alone Solar Systems

机译:基于光伏模块电流的独立太阳系群中日照估计的新方法

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摘要

In order to evaluate the performance of solar home systems (SHSs), data on local insolation is a prerequisite. We present a new method to estimate insolation if direct measurements are unavailable. This method comprises estimation of daily irradiation by correlating photovoltaic (PV) module currents from a number of SHSs, located a few kilometres apart. The method was tested with a 3-year time series for nine SHS in a remote area in Indonesia. Verification with reference cell measurements over a 2-month period showed that our method could determine average daily irradiation with a mean bias error of 1.3 percent. Daily irradiation figures showed a standard error of 5 percent. The systematic error in this method is estimated to be around 10 percent. Especially if calibration with measurements during a short period is possible, the proposed method provides more accurate monthly insolation figures compared with the readily available satellite data from the NASA SSE database. An advantage of the proposed method over satellite data is that irradiation figures can be calculated on a daily basis, while the SSE database only provides monthly averages. It is concluded that the new method is a valuable tool to obtain information on insolation when long-term measurements are absent.
机译:为了评估太阳能家用系统(SHS)的性能,有关本地日照的数据是先决条件。如果无法直接测量,我们提出了一种估计日照的新方法。该方法包括通过将相距几公里的多个SHS的光伏(PV)模块电流进行关联来估算每日的辐射量。该方法用3年时间序列对印度尼西亚偏远地区的9个SHS进行了测试。在两个月的时间内通过参考电池测量进行的验证表明,我们的方法可以确定平均每日辐射,平均偏差为1.3%。每日辐射数据显示标准误差为5%。该方法的系统误差估计约为10%。特别是如果可以在短时间内进行测量校准,则与从NASA SSE数据库获得的卫星数据相比,该方法可提供更准确的每月日照数据。相对于卫星数据,该方法的优势在于可以每天计算辐射图,而SSE数据库仅提供每月平均值。结论是,当没有长期测量时,该新方法是获得日照信息的有价值的工具。

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