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Enregistrement W4253199721 · doi:10.1149/ma2016-02/50/3823

Fiber Optic Sensors Based on Fiber Bragg Gratings for Methanol Steam Reforming Temperature Monitoring

2016· article· en· W4253199721 sur OpenAlexaff
Elizabeth Trudel, Brant A. Peppley, Peter Wild

Notice bibliographique

RevueECS Meeting Abstracts · 2016
Typearticle
Langueen
DomaineEngineering
ThématiqueAdvanced Fiber Optic Sensors
Établissements canadiensQueen's UniversityUniversity of Victoria
Organismes subventionnairesnon disponible
Mots-clésSteam reformingMethane reformerMaterials scienceMethaneFiber Bragg gratingHydrogen productionProcess engineeringNuclear engineeringHydrogenOptoelectronicsChemistryEngineeringOrganic chemistryWavelength

Résumé

récupéré en direct d'OpenAlex

This work describes the use of sensors based on fiber Bragg gratings (FBGs) to monitor the variation in the temperature gradients in a catalyst plate in a steam reforming metal plate test reactor. Steam reforming consists of a series of chemical reactions between steam, a hydrocarbon fuel (such as methane) and carbon monoxide taking place over a catalyst layer with the ultimate goal of producing hydrogen. Methane steam reforming is currently the principal technique used for hydrogen generation and is likely to increase in terms of production volume in the future as commercial fuel cell applications become more widespread. The amount of hydrogen obtained from these reactions is inherently linked to the process temperature which is in turn influenced by the heat transfer characteristics of the reformer. Steam reforming is a very endothermic process and it is extremely challenging to achieve fast response and good load following of the fuel cell power demand. FBGs can be used to obtain critical information to improve the load response and maximize the power density of compact heat-exchange reformers. Currently, non-contact instruments, such as single point radiometers and thermal imagers, are used to measure the temperature in methane steam reforming reactors. Many issues are linked with these measurement tools such as inaccuracies in the results due to difficulties associated with calibration which depends on the surface characteristics and operating conditions. Moreover, temperature measurements are localised and in commercial reformer design, access to some sections of the reformer is not possible during operation. Consequently, obtaining a temperature profile across the reformer is challenging. In this work, a fiber-optic sensor based on FBG technology is used to monitor temperature directly on the catalyst plate of a small-scale experimental reactor. An in-fibre Bragg grating occupies a short length (typically 2 mm-10 mm) of an optical fibre and is comprised of regions of modified refractive index photo-inscribed at regular intervals along the length of the fibre core. When light propagating in an optical fibre encounters a grating, a narrow band of wavelength is preferentially reflected. The center-wavelength of this reflected band (i.e., the Bragg wavelength) is a function of the refractive index of the fibre core and of the grating spacing. When the fibre is subjected to mechanical or thermal strain, both the refractive index of the fibre core and the grating spacing change and there is a corresponding shift in the Bragg wavelength that can be related to the magnitude of the applied strain or temperature change. FBGs are well suited for temperature measurements in steam reforming reactors. Multiple FBGs can be located on a single fibre and interrogated independently. This allows multiple measurements to determine the temperature gradient across a reformer tube while requiring only a single access port for the fiber into the reformer. Furthermore, the small sensor size allows high spatial resolution of the temperature gradient. In addition, optical fiber is able to withstand the harsh chemical conditions and high temperatures under which steam reforming takes place. The insertion of a fiber-optic sensor directly in the reactor and located under the catalyst plate aims to resolve the issues currently associated with temperature monitoring in methane steam reforming reactors and provide an accurate measurement of the temperature profile along the length of the catalyst plate using multiplexed Bragg gratings. Experiments were conducted with regenerated type-I FBGs written in standard SMF-28e germanium doped fiber using UV exposure. Type-I gratings erase when exposed to temperatures of the order of 400 °C for extended periods of time. Regeneration is a high temperature (>900 °C) annealing process which leads to the formation of gratings that have been shown to be stable at temperatures as high as 1295 °C. Due to the fragility of the fiber following the annealing process, the FBG is first positioned in the custom-modified reactor and the gratings are regenerated in-situ. Multiplexed gratings are used to obtain a temperature profile, which is generated by electric heaters, in the metal plate test reactor. The temperature profiles acquired with the regenerated FBGs during reforming are reported and compared with the reference temperature profiles obtained with K-Type thermocouples, also embedded in the reactor.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,001
Score d'incertitude au seuil0,004

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,001
Science ouverte0,0010,000
Intégrité de la recherche0,0010,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,013
Tête enseignante GPT0,241
Écart entre enseignants0,229 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2016
Routes d'admission1
Résumé présentoui

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