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Enregistrement W7056207225

Energy Efficiency and Flexibility Analysis for Building-Integrated Photovoltaics-Heat Pump Combinations in a House

2022· dissertation· en· W7056207225 sur OpenAlexaboutno aff

Notice bibliographique

RevueSpectrum Research Repository (Concordia University) · 2022
Typedissertation
Langueen
DomainePhysics and Astronomy
ThématiqueMagnetic confinement fusion research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPhotovoltaic systemElectricityAir conditioningHeat pumpFlexibility (engineering)Efficient energy useThermal energy storageEnergy consumptionHybrid heat
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

This thesis considers three design configurations of air source heat pumps and building-integrated photovoltaic (BIPV) systems in a solar house concerning energy efficiency and energy flexibility in interacting with a smart grid. BIPV/Thermal (BIPV/T) provides electricity generation and reduces the electricity consumption when pre-heating air for a heating, ventilation, and air conditioning (HVAC) system such as a heat pump. A heat pump’s coefficient of performance (COP) and capacity decrease at colder temperatures. Therefore, increasing the inlet temperature can significantly increase the capacity or enable a heat pump to operate when the outdoor air is below the cut-off temperature. A higher COP enables an efficient heat transfer and storage when heat is available; this provides flexibility to the system. Energy flexibility is an important factor to consider as providing flexibility to the grid helps alleviate its demand and stress during critical periods. In addition to the grid’s need, the utility often provides incentives for consumers to reduce electricity consumption during critical periods. Adopting advanced controls that can provide flexibility is beneficial to help reduce overall electricity consumption and energy cost. \nA comprehensive literature review of various BIPV systems and their applications demonstrated a gap in the current research to investigate the possibility of utilizing solar gain (from inside a solarium or greenhouse) to pre-heating air for a heat pump. Furthermore, the use of semi-transparent photovoltaic (STPV) windows with a heat pump have not been explored. Thus, a new configuration is proposed utilizing the solar heated air in an attached solarium as a source for the air side of an air-source heat pump water heater (HPWH) with integrated water thermal storage and a 5kW semi-transparent photovoltaic façade. This configuration is compared with two other cases: a reference case consists of a 5kW BIPV system on the roof with a separate HPWH and a more novel option of a 5kW BIPV/T roof system. The heated air from the BIPV/T system is ducted to the air source of the HPWH, which also contains integrated thermal storage (the hot water). The three cases are modelled with an explicit finite difference thermal network model, and energy performance is determined and compared over a typical heating season in Montreal. \nAnother important gap in the research found from the literature review is maximizing the flexibility of BIPV/T and heat pump systems. Thus, the energy flexibility of the BIPV/T configurations listed previously is compared for different scenarios, such as heating the thermal water storage during the daytime (e.g., using the solar heat in the novel options) and using it for space heating during the time that the grid is under stress (and may have price incentives). \nA full-scale experimental set-up modelling the passive solar case was completed to demonstrate this novel system configuration and to partially verify the developed model using the Future Buildings Laboratory at Concordia University. The real-time data collected from the experiment is analyzed and utilized to verify each component within the system. Results show that the proposed case utilizing the solarium air as the inlet of the heat pump had over 80% reduction in annual electricity consumption relative to the reference. In comparison, the BIPV/T configuration had around a 5% reduction compared to the reference case. The proposed configuration improves system performance significantly compared to the reference and ducted BIPV/T systems. The tank volume and solarium size had the highest impact on the system's energy flexibility. Optimal thermal storage size was between 300 – 600 L for a house with a floor area of 116 m2. The experimental results confirmed the increased energy savings from the passive solar configuration operation. The temperature in the test rooms reached over 20 °C on a cold sunny day from passive solar gains. The simulation models had a similar performance to the experimental data which also demonstrated the significant energy flexibility potential of the configuration tested.

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: Simulation ou modélisation · Signal consensuel: Simulation ou modélisation
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,004
Score d'incertitude au seuil0,012

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0010,001
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0040,000

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 Opus0,019
Tête enseignante GPT0,288
Écart entre enseignants0,270 · 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'étudeSimulation ou modélisation
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
Publié2022
Routes d'admission1
Résumé présentoui

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