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Record W7067747172

Modélisation et simulation d'un système de distribution d'énergie du type diesel-électrique pour un navire marchand

2021· other· fr· W7067747172 on OpenAlexaboutno aff

Bibliographic record

VenueSémaphore (Université du Québec à Rimouski) · 2021
Typeother
Languagefr
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPropulsionMarine propulsionNumerical modelingRenewable energy
DOInot available

Abstract

fetched live from OpenAlex

RÉSUMÉ: Depuis une dizaine d'années, l'engouement pour les propulsions hybrides du type diesel-électrique à bord des navires marchands n'a fait que croître, et elles s'imposent aujourd'hui comme la propulsion marine incontournable afin de rencontrer les normes environnementales adoptés récemment par l'organisation internationale maritime (IMO). Or, la nature variable des sources d'énergie renouvelable, associée à des changements imprévisibles de la charge, nécessite la mise en œuvre simultanée de systèmes de stockages à haute puissance et à forte densité énergétique.Ce travail porte sur la modélisation et la simulation d'un système de distribution de l'énergie électrique du type hybride pour les navires marchands développé à l'Institut Maritime du Québec (IMQ). Toutes les simulations ont été effectuées par le logiciel Matlab/Simulink et Simpowersystems. Nous présentons les modèles de chacune des composantes du simulateur ainsi que leur intégration. Ce modèle numérique, en complémentarité avec le simulateur physique, permet d'étudier les différentes stratégies d'optimisation des systèmes de propulsion hybrides des navires ainsi que l'intégration des énergies renouvelables (PV, éolien). Les résultats ont été validé par comparaison a ceux rencontrés sur le banc d'essai (simulateur). -- Mot(s) clé(s) en français : systèmes de propulsion hybrides, électricité maritime, énergie renouvelable, stockage d'énergie, propulsion diesel-électrique. -- \nABSTRACT: Over the past decade, the popularity of hybrid diesel-electric propulsion systems on board merchant ships has grown, and they are now the preferred marine propulsion system to meet the environmental standards recently adopted by the International Maritime Organization (IMO). However, the variable nature of renewable energy sources, associated with unpredictable changes in load, requires the simultaneous implementation of high power and high energy density storage systems.This work focuses on the modeling and simulation of a hybrid electrical energy distribution system for merchant ships developed at the Institut Maritime du Québec (IMQ).All simulations were performed using Matlab/Simulink and Simpowersystems software. We present the models of each component of the simulator as well as their integration. This numerical model, in complementarity with the physical simulator, allows to study the different optimization strategies of the hybrid propulsion systems of the ships as well as the integration of renewable energies (PV, wind). The results were validated by comparison with those encountered on the test bench (simulator). -- Mot(s) clé(s) en anglais : Electrical propulsion, energy storage, hybrid systems, Marine electrical power, renewable energy, hybrid diesel-electric propulsion.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.125
Threshold uncertainty score0.249

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.016
GPT teacher head0.191
Teacher spread0.175 · 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 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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