Keywords
Meteorological database, NASA, NSRDB, Photovoltaics
Presentation Type
Poster
Research Abstract
Solar energy is one of the top runners among the renewable energy. The design and deployment of solar panels are geographic- and climate-specific to optimize the total energy yield. However, the existing meteorological databases are not accessible to users for direct download and visualization. Hence, we have developed a tool that allows users to download and visualize a variety of global meteorological databases, for instance, the National Solar Radiation Database (NSRDB). Enabled by our tool, both historical and Typical Meteorological Year (TMY) data, such as solar irradiance and ambient temperature, across the entire world in specific time intervals (e.g., hourly versus monthly) are available to the users. In this paper, we have also benchmarked meteorological data from different sources, e.g., satellite-derived versus local station, which coincide with each other. In conclusion, our tool can facilitate the design and optimization of large-scale solar farms globally, by making comprehensive meteorological databases more accessible to photovoltaic installers.
Session Track
Energy
Recommended Citation
Binglin Zhao, Xingshu Sun, and Muhammad A. Alam,
"Bifacial Solar Panel Database InterfacePUMET: A tool for global meteorological data mining for performance and reliability prediction of large scale solar farms"
(August 3, 2017).
The Summer Undergraduate Research Fellowship (SURF) Symposium.
Paper 155.
https://docs.lib.purdue.edu/surf/2017/presentations/155
Included in
Electronic Devices and Semiconductor Manufacturing Commons, Other Electrical and Computer Engineering Commons
Bifacial Solar Panel Database InterfacePUMET: A tool for global meteorological data mining for performance and reliability prediction of large scale solar farms
Solar energy is one of the top runners among the renewable energy. The design and deployment of solar panels are geographic- and climate-specific to optimize the total energy yield. However, the existing meteorological databases are not accessible to users for direct download and visualization. Hence, we have developed a tool that allows users to download and visualize a variety of global meteorological databases, for instance, the National Solar Radiation Database (NSRDB). Enabled by our tool, both historical and Typical Meteorological Year (TMY) data, such as solar irradiance and ambient temperature, across the entire world in specific time intervals (e.g., hourly versus monthly) are available to the users. In this paper, we have also benchmarked meteorological data from different sources, e.g., satellite-derived versus local station, which coincide with each other. In conclusion, our tool can facilitate the design and optimization of large-scale solar farms globally, by making comprehensive meteorological databases more accessible to photovoltaic installers.