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Title: Robust PV Degradation Methodology and Application

Abstract

The degradation rate plays an important role in predicting and assessing the long-term energy generation of photovoltaics (PV) systems. Many methods have been proposed for extracting the degradation rate from operational data of PV systems, but most of the published approaches are susceptible to bias due to inverter clipping, module soiling, temporary outages, seasonality, and sensor degradation. In this paper, we propose a methodology for determining PV degradation leveraging available modeled clear-sky irradiance data rather than site sensor data, and a robust year-over-year rate calculation. We show the method to provide reliable degradation rate estimates even in the case of sensor drift, data shifts, and soiling. Compared with alternate methods, we demonstrate that the proposed method delivers the lowest uncertainty in degradation rate estimates for a fleet of 486 PV systems.

Authors:
ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [2]
  1. National Renewable Energy Lab. (NREL), Golden, CO (United States)
  2. SunPower Corp., San Jose, CA (United States)
Publication Date:
Research Org.:
National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office
OSTI Identifier:
1422265
Alternate Identifier(s):
OSTI ID: 1417794; OSTI ID: 1422266
Report Number(s):
NREL/JA-5J00-67945
Journal ID: ISSN 2156-3381
Grant/Contract Number:  
AC36-08GO28308; AC36-08-GO28308
Resource Type:
Published Article
Journal Name:
IEEE Journal of Photovoltaics
Additional Journal Information:
Journal Volume: 8; Journal Issue: 2; Journal ID: ISSN 2156-3381
Publisher:
IEEE
Country of Publication:
United States
Language:
English
Subject:
14 SOLAR ENERGY; 36 MATERIALS SCIENCE; degradation; temperature measurement; standards; atmospheric modeling; photovoltaic systems; inverters

Citation Formats

Jordan, Dirk C., Deline, Chris, Kurtz, Sarah R., Kimball, Gregory M., and Anderson, Mike. Robust PV Degradation Methodology and Application. United States: N. p., 2017. Web. doi:10.1109/JPHOTOV.2017.2779779.
Jordan, Dirk C., Deline, Chris, Kurtz, Sarah R., Kimball, Gregory M., & Anderson, Mike. Robust PV Degradation Methodology and Application. United States. https://doi.org/10.1109/JPHOTOV.2017.2779779
Jordan, Dirk C., Deline, Chris, Kurtz, Sarah R., Kimball, Gregory M., and Anderson, Mike. Thu . "Robust PV Degradation Methodology and Application". United States. https://doi.org/10.1109/JPHOTOV.2017.2779779.
@article{osti_1422265,
title = {Robust PV Degradation Methodology and Application},
author = {Jordan, Dirk C. and Deline, Chris and Kurtz, Sarah R. and Kimball, Gregory M. and Anderson, Mike},
abstractNote = {The degradation rate plays an important role in predicting and assessing the long-term energy generation of photovoltaics (PV) systems. Many methods have been proposed for extracting the degradation rate from operational data of PV systems, but most of the published approaches are susceptible to bias due to inverter clipping, module soiling, temporary outages, seasonality, and sensor degradation. In this paper, we propose a methodology for determining PV degradation leveraging available modeled clear-sky irradiance data rather than site sensor data, and a robust year-over-year rate calculation. We show the method to provide reliable degradation rate estimates even in the case of sensor drift, data shifts, and soiling. Compared with alternate methods, we demonstrate that the proposed method delivers the lowest uncertainty in degradation rate estimates for a fleet of 486 PV systems.},
doi = {10.1109/JPHOTOV.2017.2779779},
journal = {IEEE Journal of Photovoltaics},
number = 2,
volume = 8,
place = {United States},
year = {2017},
month = {12}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
https://doi.org/10.1109/JPHOTOV.2017.2779779

Citation Metrics:
Cited by: 104 works
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