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Estimer les charges et les coûts en électricité pour optimiser plusieurs postes de consommation d’énergie dans les bâtiments.

Load and electricity rates prediction for building wide optimization applications.

Numéro : pap. 3647

Auteurs : ELBSAT M. N., WENZEL M. J.

Résumé

A method for predicting building loads, such as hot water load, and utility rates, such as electricity rates, over a horizon into the future is presented. Building loads and utility rates prediction find application in several energy consumption fields, including, but not limited to, optimal control of central energy plants, peak load shaving, peak load shifting, etc.… In this work, the predicted load is characterized by deterministic and stochastic terms. The deterministic term takes into consideration the factors affecting a building load and a utility rate, such as outside air enthalpy. On the other hand, the stochastic term allows for the prediction of future errors using current and past prediction errors. The prediction method developed employs various techniques including clustering analysis, linear regression modeling, auto-regressive modeling, and curve-fitting. The approach taken has been applied to historical cold water, hot water, and electric load and electricity rates data. Simulation results show the feasibility of the method developed.

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 : Load and electricity rates prediction for building wide optimization applications.
  • Identifiant de la fiche : 30019274
  • Langues : Anglais
  • Source : 2016 Purdue Conferences. 4th International High Performance Buildings Conference at Purdue.
  • Date d'édition : 11/07/2016

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