Prediction of Acceleration Factor for Accelerated Testing of Photovoltaic Modules Installed Around the World

Arun Bala Subramaniyan, Rong Pan, Joseph Kuitche, Govindasamy Tamizhmani

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Acceleration Factor prediction for accelerated life testing of photovoltaic (PV) modules plays a major role in estimating the reliability of modules in field. Accelerated stress tests are designed in such a way that the test replicates the failure mechanism that the module experiences outdoor. However, in most cases of PV modules, complete data on degradation measurement (from qualification testing and field exposure) is not available explicitly and sometimes the accelerated testing standard for some failure modes may not even be established. In such cases, it is hard to design the test plan and determine the degradation threshold or number of hours (or cycles) required to run the accelerated tests for estimating activation energy. This paper presents a novel approach in determining the acceleration factor based on partially available data from field measurements and uses it for damp heat testing of PV modules. Utilizing the available meteorological and degradation data, each field is considered as test environment with varying stress levels and a simple linear model is used for predicting the degradation threshold of DH1000 for field equivalent 25 years. Finally, the results are validated from the known qualification data and the acceleration factor plot for different regions is presented.

Original languageEnglish (US)
Title of host publication2018 Annual Reliability and Maintainability Symposium, RAMS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Volume2018-January
ISBN (Print)9781538628706
DOIs
StatePublished - Sep 11 2018
Event2018 Annual Reliability and Maintainability Symposium, RAMS 2018 - Reno, United States
Duration: Jan 22 2018Jan 25 2018

Other

Other2018 Annual Reliability and Maintainability Symposium, RAMS 2018
CountryUnited States
CityReno
Period1/22/181/25/18

Fingerprint

Accelerated Testing
Degradation
Module
Prediction
Testing
Qualification
Accelerated Life Testing
Failure Mechanism
Failure modes
Activation Energy
Failure Mode
Activation energy
Linear Model
Heat
Cycle

Keywords

  • Accelerated Life Testing (ALT)
  • Acceleration Factor (AF)
  • Photovoltaic (PV) Modules

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Mathematics(all)
  • Computer Science Applications

Cite this

Subramaniyan, A. B., Pan, R., Kuitche, J., & Tamizhmani, G. (2018). Prediction of Acceleration Factor for Accelerated Testing of Photovoltaic Modules Installed Around the World. In 2018 Annual Reliability and Maintainability Symposium, RAMS 2018 (Vol. 2018-January). [8462999] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/RAM.2018.8462999

Prediction of Acceleration Factor for Accelerated Testing of Photovoltaic Modules Installed Around the World. / Subramaniyan, Arun Bala; Pan, Rong; Kuitche, Joseph; Tamizhmani, Govindasamy.

2018 Annual Reliability and Maintainability Symposium, RAMS 2018. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. 8462999.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Subramaniyan, AB, Pan, R, Kuitche, J & Tamizhmani, G 2018, Prediction of Acceleration Factor for Accelerated Testing of Photovoltaic Modules Installed Around the World. in 2018 Annual Reliability and Maintainability Symposium, RAMS 2018. vol. 2018-January, 8462999, Institute of Electrical and Electronics Engineers Inc., 2018 Annual Reliability and Maintainability Symposium, RAMS 2018, Reno, United States, 1/22/18. https://doi.org/10.1109/RAM.2018.8462999
Subramaniyan AB, Pan R, Kuitche J, Tamizhmani G. Prediction of Acceleration Factor for Accelerated Testing of Photovoltaic Modules Installed Around the World. In 2018 Annual Reliability and Maintainability Symposium, RAMS 2018. Vol. 2018-January. Institute of Electrical and Electronics Engineers Inc. 2018. 8462999 https://doi.org/10.1109/RAM.2018.8462999
Subramaniyan, Arun Bala ; Pan, Rong ; Kuitche, Joseph ; Tamizhmani, Govindasamy. / Prediction of Acceleration Factor for Accelerated Testing of Photovoltaic Modules Installed Around the World. 2018 Annual Reliability and Maintainability Symposium, RAMS 2018. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018.
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