Outdoor Soiling Loss Characterization and Statistical Risk Analysis of Photovoltaic Power Plants

abstract: This is a two-part thesis: Part 1 characterizes soiling losses using various techniques to understand the effect of soiling on photovoltaic modules. The higher the angle of incidence (AOI), the lower will be the photovoltaic (PV) module performance. Our research group has already reporte...

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Other Authors: Boppana, Sravanthi (Author)
Format: Dissertation
Language:English
Published: 2015
Subjects:
RPN
Online Access:http://hdl.handle.net/2286/R.I.29976
id ndltd-asu.edu-item-29976
record_format oai_dc
spelling ndltd-asu.edu-item-299762018-06-22T03:06:19Z Outdoor Soiling Loss Characterization and Statistical Risk Analysis of Photovoltaic Power Plants abstract: This is a two-part thesis: Part 1 characterizes soiling losses using various techniques to understand the effect of soiling on photovoltaic modules. The higher the angle of incidence (AOI), the lower will be the photovoltaic (PV) module performance. Our research group has already reported the AOI investigation for cleaned modules of five different technologies with air/glass interface. However, the modules that are installed in the field would invariably develop a soil layer with varying thickness depending on the site condition, rainfall and tilt angle. The soiled module will have the air/soil/glass interface rather than air/glass interface. This study investigates the AOI variations on soiled modules of five different PV technologies. It is demonstrated that AOI effect is inversely proportional to the soil density. In other words, the power or current loss between clean and soiled modules would be much higher at a higher AOI than at a lower AOI leading to excessive energy production loss of soiled modules on cloudy days, early morning hours and late afternoon hours. Similarly, the spectral influence of soil on the performance of the module was investigated through reflectance and transmittance measurements. It was observed that the reflectance and transmittances losses vary linearly with soil density variation and the 600-700 nm band was identified as an ideal band for soil density measurements. Part 2 of this thesis performs statistical risk analysis for a power plant through FMECA (Failure Mode, Effect, and Criticality Analysis) based on non-destructive field techniques and count data of the failure modes. Risk Priority Number is used for the grading guideline for criticality analysis. The analysis was done on a 19-year-old power plant in cold-dry climate to identify the most dominant failure and degradation modes. In addition, a comparison study was done on the current power plant (framed) along with another 18-year-old (frameless) from the same climate zone to understand the failure modes for cold-dry climatic condition. Dissertation/Thesis Boppana, Sravanthi (Author) Tamizhmani, Govindasamy (Advisor) Srinivasan, Devarajan (Committee member) Rogers, Bradley (Committee member) Arizona State University (Publisher) Alternative energy Statistics Angle of incidence Degradation FMECA Performance RPN Soiling in PV eng 103 pages Masters Thesis Engineering 2015 Masters Thesis http://hdl.handle.net/2286/R.I.29976 http://rightsstatements.org/vocab/InC/1.0/ All Rights Reserved 2015
collection NDLTD
language English
format Dissertation
sources NDLTD
topic Alternative energy
Statistics
Angle of incidence
Degradation
FMECA
Performance
RPN
Soiling in PV
spellingShingle Alternative energy
Statistics
Angle of incidence
Degradation
FMECA
Performance
RPN
Soiling in PV
Outdoor Soiling Loss Characterization and Statistical Risk Analysis of Photovoltaic Power Plants
description abstract: This is a two-part thesis: Part 1 characterizes soiling losses using various techniques to understand the effect of soiling on photovoltaic modules. The higher the angle of incidence (AOI), the lower will be the photovoltaic (PV) module performance. Our research group has already reported the AOI investigation for cleaned modules of five different technologies with air/glass interface. However, the modules that are installed in the field would invariably develop a soil layer with varying thickness depending on the site condition, rainfall and tilt angle. The soiled module will have the air/soil/glass interface rather than air/glass interface. This study investigates the AOI variations on soiled modules of five different PV technologies. It is demonstrated that AOI effect is inversely proportional to the soil density. In other words, the power or current loss between clean and soiled modules would be much higher at a higher AOI than at a lower AOI leading to excessive energy production loss of soiled modules on cloudy days, early morning hours and late afternoon hours. Similarly, the spectral influence of soil on the performance of the module was investigated through reflectance and transmittance measurements. It was observed that the reflectance and transmittances losses vary linearly with soil density variation and the 600-700 nm band was identified as an ideal band for soil density measurements. Part 2 of this thesis performs statistical risk analysis for a power plant through FMECA (Failure Mode, Effect, and Criticality Analysis) based on non-destructive field techniques and count data of the failure modes. Risk Priority Number is used for the grading guideline for criticality analysis. The analysis was done on a 19-year-old power plant in cold-dry climate to identify the most dominant failure and degradation modes. In addition, a comparison study was done on the current power plant (framed) along with another 18-year-old (frameless) from the same climate zone to understand the failure modes for cold-dry climatic condition. === Dissertation/Thesis === Masters Thesis Engineering 2015
author2 Boppana, Sravanthi (Author)
author_facet Boppana, Sravanthi (Author)
title Outdoor Soiling Loss Characterization and Statistical Risk Analysis of Photovoltaic Power Plants
title_short Outdoor Soiling Loss Characterization and Statistical Risk Analysis of Photovoltaic Power Plants
title_full Outdoor Soiling Loss Characterization and Statistical Risk Analysis of Photovoltaic Power Plants
title_fullStr Outdoor Soiling Loss Characterization and Statistical Risk Analysis of Photovoltaic Power Plants
title_full_unstemmed Outdoor Soiling Loss Characterization and Statistical Risk Analysis of Photovoltaic Power Plants
title_sort outdoor soiling loss characterization and statistical risk analysis of photovoltaic power plants
publishDate 2015
url http://hdl.handle.net/2286/R.I.29976
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