Title
Development Of An Irradiance Sensor Network To Model Photovoltaic Plant-Average Irradiance Time Series
Keywords
high PV penetration; irradiance sensors network; Solar power variability; time series
Abstract
With exponential growth in in the U.S. utility-scale photovoltaic market, high resolution solar irradiance data and appropriate spatial-temporal models are required to determine the true impact of solar power variability on the grid. This paper describes a new and economical Data Acquisition System (DAS) to collect high resolution solar power data required for high penetration PV integration studies and suggests an empirical model to simulate the plant-average irradiance time series given a single irradiance point sensor.
Publication Date
10-15-2014
Publication Title
2014 IEEE 40th Photovoltaic Specialist Conference, PVSC 2014
Number of Pages
788-790
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/PVSC.2014.6925035
Copyright Status
Unknown
Socpus ID
84912120737 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84912120737
STARS Citation
Moaveni, Houtan; Click, David K.; and Pappalardo, Anthony, "Development Of An Irradiance Sensor Network To Model Photovoltaic Plant-Average Irradiance Time Series" (2014). Scopus Export 2010-2014. 8148.
https://stars.library.ucf.edu/scopus2010/8148