MétaCan
Menu
Retour à la cohorte
Enregistrement W3149379002 · doi:10.22215/etd/2020-14323

Communicating HVAC Operation Through a Thermostat Interface: An In-Situ Implementation to Improve Perceived Control and Thermal Comfort in Offices

2020· dissertation· en· W3149379002 sur OpenAlexafffundabout
Connor Brackley

Notice bibliographique

Revuenon disponible
Typedissertation
Langueen
DomaineEngineering
ThématiqueBuilding Energy and Comfort Optimization
Établissements canadiensCarleton University
Organismes subventionnairesNatural Sciences and Engineering Research Council of Canada
Mots-clésThermostatUsabilityHVACThermal comfortControl (management)Architectural engineeringInterface (matter)Computer scienceEngineeringUser interfaceHuman–computer interactionAir conditioningMechanical engineeringGeography

Résumé

récupéré en direct d'OpenAlex

It is well understood that the ability to control the thermal environment through a thermostat interface can increase thermal comfort and productivity in offices.Less is understood about how the usability of thermostats, and more broadly the usability of building control systems, play a role in realizing these benefits.The field of human factors offers numerous techniques to design, test, and analyze interfaces; however, very few examples exist where these techniques were applied to thermostats.This thesis contributes to understanding how thermostat interfaces and the operation of the heating, ventilating, and air-conditioning (HVAC) control systems can affect occupant's perceived control in offices.The research was carried out in three phases across two heating seasons on 25 academic offices of an institutional building in Ottawa, Canada.Phase 1 applied an analysis of building control logic, building automation system (BAS) sensor data, and thermostat interactions, combined with a survey to identify barriers to usability in the offices.The surveys indicated a low sense of perceived control among participants.Three primary usability issues were identified: (1) setpoint regulation was contextual and was affected particularly by neighbouring offices due to the zoning employed in the building, (2) response times to setpoint adjustments were slow and highly variant, and (3) control was removed from office occupants during scheduled setbacks, and this was not communicated to office users.In Phase 2, features were developed to address these issues and were designed to be implemented into the existing thermostats of the building.The features included displaying (1) HVAC operational information (e.g., heating), (2) a time-to-temperature estimate, and (3) when scheduled setbacks were in effect.These features were implemented in all 25 offices.iii Phase 3 aimed to measure the operation and gather feedback about the implemented features.The feedback indicated that participants found value in the modifications to the thermostats and highlighted a need to include usability early in the design processes of the control system.In one instance, offering transparency to the system operation had an adverse effect, perhaps because the system was not designed to provide the level of individual control the participant expected.While this thesis focuses on a single institutional building, it is expected that the issues found in this building are widespread.The thermostats in this building did not meet fundamental recommendations of usability found in the human factors literature.This thesis represents the first real-world implementation in an office building of a thermostat with the features developed.The identified issues, development of the features, and feedback are documented to inform future iterations of this design.I first wish to acknowledge that this research was conducted at Carleton University, which is located on the traditional and unceded territory of the Algonquin Anishnaabeg People.This academic institution operates on stolen land abiding by the laws of an illegal colonial power that continues to occupy Indigenous lands while benefiting from the historical and the ongoing practices of genocide that perpetuate the oppression of Indigenous Peoples across Canada.As a graduate student of settler descent, I have conducted my research on this land for the benefit of my academic career.I wish to offer my recognition of, and gratitude for, the Indigenous lands on which I live and work, and the communities who still occupy the territory and continue to defend their rights as the traditional custodians of this land.The academic and professional engineering communities for which this research contributes to are currently facing critique due to their longstanding under-representation of First Nations, Inuit, and Métis.This issue is of critical importance, as all peoples should have the right to design, build, certify, operate, and control the infrastructure they depend on.During my work on this project, I was unable to identify ways in which my research intersected with these issues; however, as engineers, we often claim objectivity and apoliticism while failing to address how the practices within our fields enforce colonial values.In my career going forward, I plan to seek advisement and expand my ability to recognize how colonial ideologies are influencing my work.v I would like to acknowledge the efforts of Professor Liam O'Brien and Professor Chantal Trudel.Without their guidance and support, this project would not have been possible.Their mentorship has allowed me to perform and showcase my research, and I credit their kindness and encouragement for making this research a rewarding and enjoyable experience.I am thankful for the

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)0,002
score de la tête « metaresearch » (Gemma)0,003
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,003
Score d'incertitude au seuil0,011

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,003
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

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 Opus0,010
Tête enseignante GPT0,283
Écart entre enseignants0,273 · 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'étudeObservationnel
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

Citations2
Publié2020
Routes d'admission3
Résumé présentoui

Explorer davantage

Même sujetBuilding Energy and Comfort OptimizationTravaux en français237 207