Partager

Modèle basé sur l'écoulement d'air pour estimer la consommation énergétique des systèmes de CVC dans les bâtiments commerciaux : analyse pour déterminer les principaux facteurs selon les différentes zones climatiques.

Airflow based model to estimate commercial building HVAC energy use: analysis to determine principal factors for different climate zones.

Numéro : pap. 3677

Auteurs : GUNNSTEINSSON S., KAHN R., GEVELBER M.

Résumé

This paper presents an airflow based modeling method to estimate HVAC energy consumption in large commercial office buildings. The model was developed by analyzing operational data from building automation system, relating load profiles and efficiency of key HVAC equipment, based on economizer control policies that determine outside and return airflow rates. The model predicts annual energy use for buildings HVAC loads based on hourly climate data (temperature and relative humidity), and building airflow requirements. The model determines HVAC energy use in terms of building airflow rates for systems utilizing central air handler units with economizers, and identifies the key consumption drivers. Some parts of the model (economizer performance and fan energy use) were based on data collected from the building automation system, relating major component energy use in terms of air flow rates and control laws. Data was obtained for three commercial scale office-lab buildings at Boston University. Results are given in terms of major contributors to HVAC energy use and cost in terms of heating, cooling, and fan motor power for 4 different US cities. A comparison to the building HVAC model used to disaggregate CBECs data is presented.

Documents disponibles

Format PDF

Pages : 10 p.

Disponible

  • Prix public

    20 €

  • Prix membre*

    15 €

* meilleur tarif applicable selon le type d'adhésion (voir le détail des avantages des adhésions individuelles et collectives)

Détails

  • Titre original : Airflow based model to estimate commercial building HVAC energy use: analysis to determine principal factors for different climate zones.
  • Identifiant de la fiche : 30019268
  • Langues : Anglais
  • Source : 2016 Purdue Conferences. 4th International High Performance Buildings Conference at Purdue.
  • Date d'édition : 11/07/2016

Liens


Voir d'autres communications du même compte rendu (77)
Voir le compte rendu de la conférence

Indexation