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Record W4210627833 · doi:10.1002/9781119736592.ch7

PV Power Plant DC Side Design

2022· other· en· W4210627833 on OpenAlexaff
Davood Naghaviha, Hassan Nikkhajoei, Houshang Karimi

Bibliographic record

Venuenot available
Typeother
Languageen
FieldEnergy
TopicPhotovoltaic System Optimization Techniques
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsElectrical engineeringPhotovoltaic systemPower (physics)InverterEngineeringReliability (semiconductor)VoltagePhysics

Abstract

fetched live from OpenAlex

This chapter presents the main components of DC side and the corresponding design methods. It discusses how to design main equipment of the DC side of a large-scale photovoltaic (PV) power plant. Most manufacturers of PV modules offer a wide range of models, including monocrystalline, polycrystalline, and thin films with various output power ranges. Solar inverters are electronic devices that convert the DC power generated by the PV modules into the AC power. PV DC cables are single-conductor wires that connect PV modules to an inverter. The DC cables are exposed to indirect sunlight and ambient temperature during the day. The combiner box protects the DC section against faults, over-voltages, and over-currents, which lead to increased internal network reliability. The string diode prevents reverse current to flow to the PV module. For safe, reliable, and long-lasting operation, the DC side of a PV power plant requires a fuse with an appropriate current rating.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0160.007

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 head0.019
GPT teacher head0.230
Teacher spread0.211 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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