Energetic Macroscopic Representation of an Electrically Heated Building with Electric Thermal Storage and Heating Control for Peak Shaving

Cristina Guzman, Kodjo Agbossou, Alben Cardenas

Hydrogen Research Institute and The “Département de Génie électrique et Génie Informatique”, Université du Québec à Trois-Rivières, Trois-Rivières, Canada.

DOI: 10.4236/epe.2015.74014                

Abstract

As a part of the Smart Grid concept, an efficient energy management at the residential level has received increasing attention in lately research. Its main focus is to balance the energy consumption in the residential environment in order to avoid the undesirable peaks faced by the electricity supplier. This challenge can be achieved by means of a home energy management system (HEMS). The HEMS may consider local renewable energy production and energy storage, as well as local control of some particular loads when peaks mitigation is necessary. This paper presents the modeling and comparison of two residential systems; one using conventional electric baseboard heating and the other one supported by Electric Thermal Storage (ETS); the ETS is employed to optimize the local energy utilization pursuing the peak shaving of residential consumption profile. Simulations of the proposed architecture using the Energetic Macroscopic Representation (EMR) demonstrate the potential of ETS technologies in future HEMS.

Keywords

Home Energy Management, Energetic Macroscopic Representation, Building Modeling, Electric Thermal Storage

Conflicts of Interest

The authors declare no conflicts of interest.

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