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Enregistrement W2279959162 · doi:10.2172/814555

Spinning Reserves from Controllable Packaged Through the Wall Air Conditioner (PTAC) Units

2003· report· en· W2279959162 sur OpenAlexfundno aff
Brendan Kirby

Notice bibliographique

Revuenon disponible
Typereport
Langueen
DomaineEngineering
ThématiqueSmart Grid Energy Management
Établissements canadiensnon disponible
Organismes subventionnairesPetroleum Technology Alliance CanadaOak Ridge National LaboratoryNew York State Energy Research and Development AuthorityOffice of Energy Efficiency and Renewable EnergyU.S. Department of EnergyDepartment of Water ResourcesCalifornia Energy Commission
Mots-clésHVACSpinningEnvironmental scienceAir conditioningThermostatAutomotive engineeringController (irrigation)Computer scienceEngineeringElectrical engineeringMechanical engineering

Résumé

récupéré en direct d'OpenAlex

This report summarizes the feasibility of providing spinning reserves from packaged through the wall air conditioning (PTAC) units. Spinning reserves, together with non-spinning reserves, compose the contingency reserves; the essential resources that the power system operator uses to restore the generation and load balance and maintain bulk power system reliability in the event of a major generation or transmission outage. Spinning reserves are the fastest responding and most expensive reserves. Many responsive load technologies could (and we hope will) be used to provide spinning reserve. It is also easier for many loads (including air conditioning loads) to provide the relatively shorter and less frequent interruptions required to respond to contingencies than it is for them to reduce consumption for an entire peak period. Oak Ridge National Laboratory (ORNL) is conducting research on obtaining spinning reserve from large pumping loads and from residential and small commercial thermostat controlled heating, ventilation and air conditioning (HVAC) units. The technology selected for this project, Digi-Log's retrofit PTAC controller, offers significant advantages. To evaluate the availability of spinning reserve capacity from responsive heating and air conditioning loads, ORNL obtained data from a number of units operating over a year at a motel in the TVA service territory. A total of 24 PTAC units in as many rooms were fitted with Digi-Log's supervisory control unit that could be controlled from the motel front desk. Twelve of the rooms formed the group in which the controller was controlled from the hotel front desk only. The remaining twelve rooms were controlled by the occupant and formed the uncontrolled group. This enables us to evaluate the spinning reserve capacity from PTACS that were operating normally and from those under active energy management. A second generation of the Digi-Log controller that will respond quickly enough to provide spinning reserve has been designed but not yet manufactured. Manufacture of these units is pending arrival of funds from NYSERDA. The new Digi-Log equipment will utilize satellite signals from Skytel to activate the controller from a remote site by the ISO and to respond to curtailment events. PTACs account for approximately 3% of the total commercial cooling load in the US, equivalent to an average energy consumption rate of 3,000 MW with peak consumption being significantly higher. Hence PTACs alone represent a sizable opportunity for providing spinning reserves from load. The residential buildings sector cooling and heating load averages about 33,000 MW, more than 10 times the commercial PTAC load. The buildings sector represents an even greater opportunity than the PTAC commercial sector for providing spinning reserves from load. Technology to implement load curtailment and monitor its effect already exists and can readily be further customized to meet ISO and utility needs. Further research is needed to prove the technical feasibility of PTAC units and other small loads providing spinning reserves. Aggregation, communication, control, and monitoring issues remain to be addressed. If the technical issues can be resolved however, it is likely that system operators, loads, and regulators will have significant incentives to resolve these other resources since spinning reserve from load has the potential to provide large benefits to each community.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Charge 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 enseignants0,489
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

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

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 Opus0,045
Tête enseignante GPT0,247
Écart entre enseignants0,202 · 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 tête enseignante, 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

Citations6
Publié2003
Routes d'admission1
Résumé présentoui

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