Residential energy simulation and scheduling: A case study approach

Author

Venkatesh, Jagannathan ; Aksanli, Baris ; Rosing, Tajana Simunic

Author_Institution

Comput. Sci. & Eng. Dept., UCSD, La Jolla, CA, USA

fYear

2013

fDate

7-10 July 2013

Abstract

Residential energy contributes to 38% of the total energy consumption of the United States [1]. Current research aims to reduce consumption through time-of-use (TOU) pricing or by providing energy information to consumers. Industrial innovations are focused on energy efficiency and automated control of appliances. However, to date, quantifying the benefits of current and future technology improvements in residential energy management is difficult. This work presents HomeSim, a simulation platform aimed at residential energy modeling that can compare and quantify these results. The subsequent case studies leverage HomeSim to explore current and future technologies, including distributed batteries, renewable sources, smart appliances, cost-aware scheduling, and peak power reduction.

Keywords

building management systems; domestic appliances; energy conservation; energy management systems; home automation; power consumption; power engineering computing; power generation scheduling; pricing; HomeSim; TOU pricing; United States; automated appliances control; cost-aware scheduling; distributed battery; energy consumption reduction; energy efficiency; industrial innovation; peak power reduction; renewable sources; residential energy management; residential energy scheduling; residential energy simulation; smart appliances; time-of-use; Batteries; Computational modeling; Green products; Home appliances; Monitoring; Smart grids; green energy; residential energy management; smart scheduling;

fLanguage

English

Publisher

ieee

Conference_Titel

Computers and Communications (ISCC), 2013 IEEE Symposium on

Conference_Location

Split

Type

conf

DOI

10.1109/ISCC.2013.6754939

Filename

6754939