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Analyse des caractéristiques des signaux tarifaires incitatifs dynamiques du réseau et leur implication sur la régulation optimale du stockage de l'énergie thermique des bâtiments.

Pattern analysis of dynamic grid incentives and the implications on optimal control of building thermal energy storage.

Numéro : 310089

Auteurs : LI L. X., PAVLAK G. S.

Résumé

Building thermal energy storage has been utilized for decades for various objectives, such as reducing peak electrical demand, reducing building operating expenses, and increasing the efficiency of systems when charged from waste heat or free cooling. As building thermal storage control strategies become more dynamic, optimization of building performance often considers multiple objectives that aim to improve building performance in energy, economic, environmental, and grid support categories. The dynamics of the incentive signal used for one objective, as well as its relation to signals from other objectives—for instance, whether the signals are “in sync” or are “conflicting”—heavily influence the tradeoffs that may exist among performance objectives. To better understand the degree of alignment that may exist between grid incentive signals, we apply unsupervised learning to a novel grid data set that includes hourly signals for energy price and marginal carbon emissions. Clustering algorithms identify common patterns in the dynamic signals. Overall, Hierarchical Clustering demonstrated the best performance, evaluated by DB index and Silhouette score. While the algorithms did not find distinctive patterns among the carbon signals, they did identify 7 to 9 patterns within the January and July pricing signals. The highly fluctuating nature of the carbon emission signals could lead to a diverse range of tradeoffs between building energy cost and carbon emission reduction objectives, if the signals were used as the basis for a building control optimization problem. This finding iterates the importance of understanding incentive signal dynamics, in both individual and collective contexts, and the implications for development of new control technologies for grid-interactive buildings.

Documents disponibles

Format PDF

Pages : 10

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 : Pattern analysis of dynamic grid incentives and the implications on optimal control of building thermal energy storage.
  • Identifiant de la fiche : 30028685
  • Langues : Anglais
  • Sujet : Technologie
  • Source : 2021 Purdue Conferences. 6th International High Performance Buildings Conference at Purdue.
  • Date d'édition : 24/05/2021
  • Document disponible en consultation à la bibliothèque du siège de l'IIF uniquement.

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