Influence of atmospheric variations on photovoltaic performance and modeling their effects for days with clear skies
Although variation in photovoltaic (PV) performance is predominantly influenced by clouds, performance variations also exist for days with clear skies with different amounts of atmospheric constituents that absorb and reflect different amounts of radiation as it passes through the Earth's atmos...
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description | Although variation in photovoltaic (PV) performance is predominantly influenced by clouds, performance variations also exist for days with clear skies with different amounts of atmospheric constituents that absorb and reflect different amounts of radiation as it passes through the Earth's atmosphere. The extent of the attenuation is determined by the mass of air and the amounts of water vapor, aerosols, and ozone that constitute the atmosphere for a particular day and location. Because these constituents selectively absorb radiation of particular wavelengths, their impact on PV performance is sensitive to the spectral response of the PV device. The impact may be assessed by calculating the spectral mismatch correction. This approach was validated using PV module performance data at the National Renewable Energy Laboratory for summer, fall, and winter days with clear skies. The standard deviations of daily efficiencies for single-crystal Si, a-Si/a-Si/a-Si:Ge, CdTe, and CIGS PV modules were reduced to 0.4% to 1.0% (relative) by correcting for spectral mismatch, temperature, and angle-of-incidence effects. |
doi_str_mv | 10.1109/PVSC.2012.6318300 |
format | Conference Proceeding |
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(NREL), Golden, CO (United States)</creatorcontrib><description>Although variation in photovoltaic (PV) performance is predominantly influenced by clouds, performance variations also exist for days with clear skies with different amounts of atmospheric constituents that absorb and reflect different amounts of radiation as it passes through the Earth's atmosphere. The extent of the attenuation is determined by the mass of air and the amounts of water vapor, aerosols, and ozone that constitute the atmosphere for a particular day and location. Because these constituents selectively absorb radiation of particular wavelengths, their impact on PV performance is sensitive to the spectral response of the PV device. The impact may be assessed by calculating the spectral mismatch correction. This approach was validated using PV module performance data at the National Renewable Energy Laboratory for summer, fall, and winter days with clear skies. The standard deviations of daily efficiencies for single-crystal Si, a-Si/a-Si/a-Si:Ge, CdTe, and CIGS PV modules were reduced to 0.4% to 1.0% (relative) by correcting for spectral mismatch, temperature, and angle-of-incidence effects.</description><identifier>ISSN: 0160-8371</identifier><identifier>ISBN: 1467300640</identifier><identifier>ISBN: 9781467300643</identifier><identifier>EISBN: 9781467300667</identifier><identifier>EISBN: 1467300667</identifier><identifier>EISBN: 1467300659</identifier><identifier>EISBN: 9781467300650</identifier><identifier>DOI: 10.1109/PVSC.2012.6318300</identifier><language>eng</language><publisher>United States: IEEE</publisher><subject>Aerosols ; Atmospheric modeling ; ENGINEERING ; MATHEMATICS AND COMPUTING ; Performance evaluation ; Silicon ; SOLAR ENERGY ; Solar Energy - Photovoltaics ; Temperature measurement ; Terrestrial atmosphere</subject><ispartof>2012 38th IEEE Photovoltaic Specialists Conference, 2012, p.003402-003407</ispartof><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6318300$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,777,781,786,787,882,2052,4036,4037,27906,54901</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6318300$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttps://www.osti.gov/biblio/1060640$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Marion, B.</creatorcontrib><creatorcontrib>National Renewable Energy Lab. (NREL), Golden, CO (United States)</creatorcontrib><title>Influence of atmospheric variations on photovoltaic performance and modeling their effects for days with clear skies</title><title>2012 38th IEEE Photovoltaic Specialists Conference</title><addtitle>PVSC</addtitle><description>Although variation in photovoltaic (PV) performance is predominantly influenced by clouds, performance variations also exist for days with clear skies with different amounts of atmospheric constituents that absorb and reflect different amounts of radiation as it passes through the Earth's atmosphere. The extent of the attenuation is determined by the mass of air and the amounts of water vapor, aerosols, and ozone that constitute the atmosphere for a particular day and location. Because these constituents selectively absorb radiation of particular wavelengths, their impact on PV performance is sensitive to the spectral response of the PV device. The impact may be assessed by calculating the spectral mismatch correction. This approach was validated using PV module performance data at the National Renewable Energy Laboratory for summer, fall, and winter days with clear skies. The standard deviations of daily efficiencies for single-crystal Si, a-Si/a-Si/a-Si:Ge, CdTe, and CIGS PV modules were reduced to 0.4% to 1.0% (relative) by correcting for spectral mismatch, temperature, and angle-of-incidence effects.</description><subject>Aerosols</subject><subject>Atmospheric modeling</subject><subject>ENGINEERING</subject><subject>MATHEMATICS AND COMPUTING</subject><subject>Performance evaluation</subject><subject>Silicon</subject><subject>SOLAR ENERGY</subject><subject>Solar Energy - Photovoltaics</subject><subject>Temperature measurement</subject><subject>Terrestrial atmosphere</subject><issn>0160-8371</issn><isbn>1467300640</isbn><isbn>9781467300643</isbn><isbn>9781467300667</isbn><isbn>1467300667</isbn><isbn>1467300659</isbn><isbn>9781467300650</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1kF1LwzAYhSMquM39APEmeN-ZNF3SXMrwYzBQ8OO2pMkbG22bksTJ_r0dm1eHw3nel8NB6IqSBaVE3r58vK4WOaH5gjNaMkJO0FyKkhZcjIZzcYqm_6YgZ2hCKCdZyQS9QNMYvwjJCeN0gtK6t-0P9Bqwt1ilzsehgeA03qrgVHK-j9j3eGh88lvfJjVGAwTrQ6f2V6o3uPMGWtd_4tSACxisBZ0iHhls1C7iX5carFtQAcdvB_ESnVvVRpgfdYbeH-7fVk_Z5vlxvbrbZG5sS7K6JoQyWheFkrmghgIXJTHMGCvVUi6FsMCB5UvFTC7rwipe1rwELpXOJS_ZDN0c_vqYXBW1S6Ab7ft-rFdRwvfbjND1AXIAUA3BdSrsquOs7A-NyGrs</recordid><startdate>2012</startdate><enddate>2012</enddate><creator>Marion, B.</creator><general>IEEE</general><general>Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE)</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope><scope>OTOTI</scope></search><sort><creationdate>2012</creationdate><title>Influence of atmospheric variations on photovoltaic performance and modeling their effects for days with clear skies</title><author>Marion, B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i1600-bb00131b44a9271d1e6780d3ddf9a59577fe6e325a3d29b4fa68b68e69ac29683</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Aerosols</topic><topic>Atmospheric modeling</topic><topic>ENGINEERING</topic><topic>MATHEMATICS AND COMPUTING</topic><topic>Performance evaluation</topic><topic>Silicon</topic><topic>SOLAR ENERGY</topic><topic>Solar Energy - Photovoltaics</topic><topic>Temperature measurement</topic><topic>Terrestrial atmosphere</topic><toplevel>online_resources</toplevel><creatorcontrib>Marion, B.</creatorcontrib><creatorcontrib>National Renewable Energy Lab. (NREL), Golden, CO (United States)</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection><collection>OSTI.GOV</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Marion, B.</au><aucorp>National Renewable Energy Lab. (NREL), Golden, CO (United States)</aucorp><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Influence of atmospheric variations on photovoltaic performance and modeling their effects for days with clear skies</atitle><btitle>2012 38th IEEE Photovoltaic Specialists Conference</btitle><stitle>PVSC</stitle><date>2012</date><risdate>2012</risdate><spage>003402</spage><epage>003407</epage><pages>003402-003407</pages><issn>0160-8371</issn><isbn>1467300640</isbn><isbn>9781467300643</isbn><eisbn>9781467300667</eisbn><eisbn>1467300667</eisbn><eisbn>1467300659</eisbn><eisbn>9781467300650</eisbn><abstract>Although variation in photovoltaic (PV) performance is predominantly influenced by clouds, performance variations also exist for days with clear skies with different amounts of atmospheric constituents that absorb and reflect different amounts of radiation as it passes through the Earth's atmosphere. The extent of the attenuation is determined by the mass of air and the amounts of water vapor, aerosols, and ozone that constitute the atmosphere for a particular day and location. Because these constituents selectively absorb radiation of particular wavelengths, their impact on PV performance is sensitive to the spectral response of the PV device. The impact may be assessed by calculating the spectral mismatch correction. This approach was validated using PV module performance data at the National Renewable Energy Laboratory for summer, fall, and winter days with clear skies. The standard deviations of daily efficiencies for single-crystal Si, a-Si/a-Si/a-Si:Ge, CdTe, and CIGS PV modules were reduced to 0.4% to 1.0% (relative) by correcting for spectral mismatch, temperature, and angle-of-incidence effects.</abstract><cop>United States</cop><pub>IEEE</pub><doi>10.1109/PVSC.2012.6318300</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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ispartof | 2012 38th IEEE Photovoltaic Specialists Conference, 2012, p.003402-003407 |
issn | 0160-8371 |
language | eng |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Aerosols Atmospheric modeling ENGINEERING MATHEMATICS AND COMPUTING Performance evaluation Silicon SOLAR ENERGY Solar Energy - Photovoltaics Temperature measurement Terrestrial atmosphere |
title | Influence of atmospheric variations on photovoltaic performance and modeling their effects for days with clear skies |
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