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Record W4252270095 · doi:10.32920/ryerson.14650086

Harmonics in commercial building power systems

2021· preprint· en· W4252270095 on OpenAlexaff
Abdel H Charty

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicPower Quality and Harmonics
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsHarmonicsElectric power systemHarmonicPower (physics)Computer scienceElectrical engineeringElectronic engineeringNonlinear systemReliability engineeringTelecommunicationsEngineeringVoltageAcoustics

Abstract

fetched live from OpenAlex

Harmonics are increasingly becoming a major source of power quality problems in today's commercial power distribution systems. Although they have been present in power distribution systems since the early days of AC power systems, their level has dramatically increased and the effect on power distributions has been more and more noticeable in the last decade. This dramatic increase of harmonic levels is mainly due to the introduction of non linear loads such as personal computers, servers, variable frequency drives and UPS systems. Harmonic problems are especially common in commercial buildings housing large computer rooms where the concentration of nonlinear loads per square foot is very high, and continue to grow higher as the footprint of network and communication equipment becomes smaller. This report will provide a deep look at harmonics in power distribution systems in commercial buildings, their sources and the different ways by which they can affect electrical systems and power quality. Some of the solutions commonly used to deal with the problem of harmonics are reviewed, and a critical analysis of their effectiveness is provided. Computer simulations using Matlab Simulink have been developed to illustrate key points when possible.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.146
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.036
GPT teacher head0.265
Teacher spread0.229 · 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 designSimulation or modeling
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

Citations0
Published2021
Admission routes1
Has abstractyes

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