An Intelligent Infrastructure for Enabling Demand-Response Ready Buildings
Résumé
In this paper, we present a novel approach developed through the TABEDE project to scale demand response across all building types. To this end, we propose an intelligent infrastructure that enables buildings to follow various demand-response schemes, that optimises the electricity consumption and generation of the buildings to reduce energy cost and promote RES penetration, and that is capable of connecting and controlling appliances seamlessly and in an interoperable manner. The approach is evaluated via a simulated district based on one of the project pilot sites in Cardiff, UK. The results show potential improvements to varying extents in solar PV self-consumption, energy cost reduction, and adhering to grid constraints.
Mots clés
electricity consumption
electricity generation
renewable energies
controllable appliance
interoperability
simulation
modelling
self-consumption
grid constraints
Demand response
Energy prediction
Energy optimisation
District simulation
Smart grid
artificial intelligence
machine learning
distributed learning
multi-agent system
buildings
electricity optimisation
Origine | Fichiers produits par l'(les) auteur(s) |
---|