@misc{124e1aba7482469fbf790777bc102f72,
title = "Industry Facing PV Degradation Prediction Tool and Database to Enable a 50 Year Life Module",
abstract = "The goal of this work is to create an online tool that can be used to search for degradation information and extrapolate PV module performance and durability to field exposure. A graphical user interface will aid in the understanding of the results. The prediction tool will be built modular and published open-source allowing users to expand on the existing framework.",
keywords = "degradation, geospatial, photovoltaic, python, reliability",
author = "Michael Kempe and Silvana Ovaitt and Martin Springer and Matthew Brown",
year = "2023",
language = "American English",
series = "Presented at the 2023 Photovoltaic Reliability Workshop (PVRW), 28 February - 2 March 2023, Lakewood, Colorado",
type = "Other",
}
