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Enregistrement W2802743933 · doi:10.14288/1.0224088

Sustainable pub : energy

2016· article· en· W2802743933 sur OpenAlexaboutno aff
Angela Cho, Eric R. Hurd, Abhishek Gogna, Fuchun Ma, Michael Zhou

Notice bibliographique

RevuecIRcle (University of British Columbia) · 2016
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueUniversity Challenges and Reforms
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésSustainable energyRenewable energyEngineering

Résumé

récupéré en direct d'OpenAlex

This report contains the analysis and suggestions for improvements on Koerner’s Pub located on UBC’s Vancouver campus in terms of energy efficiency. The food industry is one of the highest consumers of energy in commercial businesses and as such, there is significant potential for energy savings. The primary stakeholder, Tim Yu, requested for an in depth research into possible low cost solutions that would aid Koerner’s Pub in lowering energy consumption. In focusing on the upstairs kitchen area, our team has done research in the following areas: lights, and energy efficient practices. In our investigation of the site (Koerner’s Pub) and through research of restaurants and pubs in general, we have compiled possible improvements that may be applied. Through our research and observation on the operation of the pub, we were able to conclude which appliances consumed the most energy and which ones were wasting energy. We have primarily focused on improving operational use of the walk-in refrigerator, stove, oven, and dishwasher. It was noted that there were certain operations that could be improved or eliminated, such as inefficient use of the refrigerator and the dishwasher. As for lighting, our investigation allowed us to observe the different lighting needs of the many areas of the pub. For example, areas such as the kitchen would need to be well lit while the main dining area should be dim and emit a warm atmosphere. The four light bulbs we investigated were incandescents, compact fluorescent lights (CFL), halogen lights, and light emitting diodes (LED). Certain factors we paid most attention to were environmental impacts, lifetime, initial cost, as well as light properties. Certain lamps could be potentially harmful if not disposed of correctly, some had very short life spans, most efficient lamps had high initial costs, and each lamp gives off its own colour and range and light. Aiming to be sustainable and energy efficient has many benefits, not only environmental but also economical. Without suggesting appliances or technologies that require a large initial investment by the primary stakeholder, we have concluded that cost effective light bulbs and small appliances/technologies and behavioural changes will provide the most effective reduction in energy consumption. For the upstairs kitchen, the use of CFLs (with proper disposal since they contain mercury) is recommended for their long lifespan and brightness, and LEDs are recommended for the bar and patio areas (energy efficient and long lifespan), while the main dining area continues to use incandescents for the warm light that is emitted, to maintain a pleasing atmosphere. In the kitchen area we highly encourage appliance operators to be aware of unnecessary use of energy as well as the use of interior vinyl strips on the walk-in refrigerators to help maintain the temperature of the refrigerators. Disclaimer: “UBC SEEDS provides students with the opportunity to share the findings of their studies, as well as their opinions, conclusions and recommendations with the UBC community. The reader should bear in mind that this is a student project/report and is not an official document of UBC. Furthermore readers should bear in mind that these reports may not reflect the current status of activities at UBC. We urge you to contact the research persons mentioned in a report or the SEEDS Coordinator about the current status of the subject matter of a project/report.”

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)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,807
Score d'incertitude au seuil0,646

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0020,005
Études des sciences et des technologies0,0020,001
Communication savante0,0090,006
Science ouverte0,0010,004
Intégrité de la recherche0,0020,002
Charge utile insuffisante (le modèle a refusé de juger)0,1930,099

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 Opus0,008
Tête enseignante GPT0,179
Écart entre enseignants0,171 · 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.

Devis d'étudeSans objet
Domainenon disponible
GenreAutre

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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