five

Performance of Photovoltaic Panels with Different Ages Under Outdoor Conditions

收藏
NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://data.mendeley.com/datasets/y4wjtntxr8
下载链接
链接失效反馈
官方服务:
资源简介:
This dataset, includes measurements of voltage, current, characteristic parameters, temperature, and irradiance of two photovoltaic panels refrences. Seven polycrystalline photovoltaic panels (10 W) with over 10 years of use from the brand ERDM, model Hybrytec 10/12, and a new Restarsolar photovoltaic panel, model RT010P (10 W) were measured. The information is organized into two folders: "RawData" and "ProcessedData". The files within the RawData folders contain the voltage [V] and current [A] panel vectors (V and I) delivered by the oscilloscope, as well as the temperature data [°C] and irradiation [W/m2] measured at the time of the test (T and G); on the other hand, the files within the ProcessedData folder include the voltage [V] and current [A] data of the panel necessary to reproduce the I-V and P-V curves (V and I) and some data of interest extracted from the curves I-V, P-V, such as the open circuit voltage (Voc) [V], short circuit current (Isc) [A], maximum power point current (Impp) [A], maximum power point voltage (Vmpp) [V] and power in that point (Pmpp) [W]. This dataset could be used in studies to compare the performance of different parameter estimation methods of circuit models of photovoltaic panels, they could help to develop predictive models for energy generation and enhance the accuracy of photovoltaic simulations and additional experimentation and comparative analysis could be conducted to examine the PV power degradation rate based on the electrical parameters of the tested datasets. The names of the files in the “RawData” folders follow the format: RefCurve_yyyy-mm-dd_s_hhmmss.Wfm.csv; and the "ProcessedData" files corresponds to each panel reference and panel number: ERDM_Px.mat (where x refers to panel number).
创建时间:
2025-03-27
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作