High-Resolution Floating Solar PV Data
This dataset contains over two years of 1-minute resolution data collected from four floating solar sites, as well as data from a land-based PV system co-located with one of the floating sites. The dataset includes highly granular module temperature measurements - five modules per floating site, with three sensors per module, totaling 15 module temperature sensors per floating site. In addition to the module temperature data, meteorological data collected at the floating sites is also included, along with traditional PV system-level parameters. The data is intended for analysis of solar energy production, efficiency, and performance degradation over time.
For information about the data file usage see the "README" resource below. See "Metadata File" for information about individual files and other metadata information.
Citation Formats
University of Central Florida - Florida Solar Energy Center. (2022). High-Resolution Floating Solar PV Data [data set]. Retrieved from https://dx.doi.org/10.25984/2441306.
Matam, Manjunath, Hernandez, Rebecca R., Sekulic, Bill, Cagle, Alexander Earl, Jordan, Dirk, Chasar, Dave, and Kettles, Colleen. High-Resolution Floating Solar PV Data. United States: N.p., 01 Jul, 2022. Web. doi: 10.25984/2441306.
Matam, Manjunath, Hernandez, Rebecca R., Sekulic, Bill, Cagle, Alexander Earl, Jordan, Dirk, Chasar, Dave, & Kettles, Colleen. High-Resolution Floating Solar PV Data. United States. https://dx.doi.org/10.25984/2441306
Matam, Manjunath, Hernandez, Rebecca R., Sekulic, Bill, Cagle, Alexander Earl, Jordan, Dirk, Chasar, Dave, and Kettles, Colleen. 2022. "High-Resolution Floating Solar PV Data". United States. https://dx.doi.org/10.25984/2441306. https://data.openei.org/submissions/6179.
@div{oedi_6179, title = {High-Resolution Floating Solar PV Data}, author = {Matam, Manjunath, Hernandez, Rebecca R., Sekulic, Bill, Cagle, Alexander Earl, Jordan, Dirk, Chasar, Dave, and Kettles, Colleen.}, abstractNote = {This dataset contains over two years of 1-minute resolution data collected from four floating solar sites, as well as data from a land-based PV system co-located with one of the floating sites. The dataset includes highly granular module temperature measurements - five modules per floating site, with three sensors per module, totaling 15 module temperature sensors per floating site. In addition to the module temperature data, meteorological data collected at the floating sites is also included, along with traditional PV system-level parameters. The data is intended for analysis of solar energy production, efficiency, and performance degradation over time.
For information about the data file usage see the "README" resource below. See "Metadata File" for information about individual files and other metadata information.}, doi = {10.25984/2441306}, url = {https://data.openei.org/submissions/6179}, journal = {}, number = , volume = , place = {United States}, year = {2022}, month = {07}}
https://dx.doi.org/10.25984/2441306
Details
Data from Jul 1, 2022
Last updated Sep 17, 2024
Submitted Sep 13, 2024
Organization
University of Central Florida - Florida Solar Energy Center
Contact
Manjunath Matam
321.638.1428
Authors
Research Areas
Keywords
energy, power, floating, solar, PV, meteorological, water, temperature, photovoltaic, data, solar power, raw data, measurementsDOE Project Details
Project Name Quantifying and valuing fundamental characteristics and benefits of Floating Photovoltaic (FPV) Systems
Project Number EE0008746