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Record W1573972466 · doi:10.1109/pvsc.2000.915785

Next generation of industrial silicon solar cells with efficiencies above 20%

2002· article· en· W1573972466 on OpenAlexfundno aff
Rudolf Hezel, Christian Schmiga, A. Metz

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicSilicon Nanostructures and Photoluminescence
Canadian institutionsnot available
FundersInstitute of Gender and HealthAustralian Government
KeywordsSiliconMaterials scienceFabricationCrystalline siliconEnergy conversion efficiencyOptoelectronicsSolar cellMonocrystalline siliconEngineering physicsPhotovoltaic systemEnvironmentally friendlyDopingSolar energyProcess engineeringEnvironmental scienceElectrical engineeringEngineering

Abstract

fetched live from OpenAlex

In order to make PV an economical source of energy, cell efficiencies have to be drastically increased. A new generation of high-efficiency crystalline silicon solar cells based on the OECO (obliquely evaporated contact) technology was introduced by us, using only few, simple and environmentally benign fabrication steps. In this paper progress of the OECO solar cells is presented. This includes the superior performance of the cells under realistic illumination conditions below 1 sun and at temperatures ranging from -40/spl deg/C to +80/spl deg/C. For the industrial size of 10/spl times/10 cm/sup 2/ record efficiencies up to 20% were achieved both on FZ-Si and on Ga-doped Cz-Si. This is the highest efficiency reported for large-area industrially feasible silicon solar cells. The custom-made construction of a 1 MW/year pilot line presently installed is outlined, demonstrating that economic and environmentally benign mass production of 20% efficient silicon solar cells is no vision any more.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.061
GPT teacher head0.222
Teacher spread0.161 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2002
Admission routes1
Has abstractyes

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