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Pathway to predict solar cell efficiencies from as-grown multicrystalline silicon bricks

Author:
Wagner, H.
,
Hofstetter, J.
,
Mitchell, B.
,
Morishige, A.E.
,
Buonassisi, T.
,
Altermatt, P.P.
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/GHTC-SAS.2014.6967551
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/1037393
Keyword(s): Layout,Linear programming,Mathematical model,Optimization,Wind farms,Wind turbines,Wind energy systems engineering,heuristic algorithms,micrositing optimization,wake models
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    Pathway to predict solar cell efficiencies from as-grown multicrystalline silicon bricks

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contributor authorWagner, H.
contributor authorHofstetter, J.
contributor authorMitchell, B.
contributor authorMorishige, A.E.
contributor authorBuonassisi, T.
contributor authorAltermatt, P.P.
date accessioned2020-03-12T21:06:47Z
date available2020-03-12T21:06:47Z
date issued2014
identifier other6925286.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1037393?locale-attribute=en
formatgeneral
languageEnglish
publisherIEEE
titlePathway to predict solar cell efficiencies from as-grown multicrystalline silicon bricks
typeConference Paper
contenttypeMetadata Only
identifier padid8163707
subject keywordsLayout
subject keywordsLinear programming
subject keywordsMathematical model
subject keywordsOptimization
subject keywordsWind farms
subject keywordsWind turbines
subject keywordsWind energy systems engineering
subject keywordsheuristic algorithms
subject keywordsmicrositing optimization
subject keywordswake models
identifier doi10.1109/GHTC-SAS.2014.6967551
journal titlehotovoltaic Specialist Conference (PVSC), 2014 IEEE 40th
filesize348862
citations0
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