NDLI: Towards a smart home energy management system

Content Provider	IEEE Xplore Digital Library
Author	Tischer, H. Verbic, G.
Copyright Year	2011
Description	Author affiliation: School of Electrical and Information Engineering, University of Sydney, NSW 2006, Australia (Verbic, G.) \|\| Institute of Automatic Control Engineering (LSR), Technische Universität München, D-80290, Germany (Tischer, H.)
Abstract	This paper presents an energy management system (EMS) for a smart home, which is equipped with a fuel cell used for heat and power cogeneration, a PV system, an electric car, a battery and a storage unit for thermal energy. The EMS is computed using dynamic programming and considers the financial consequences of energy demand and generation and the availability of the electric car according to the driver's preferences and habits. We evaluate the performance of the proposed EMS with numerical simulations and compare it to a simpler management system that aims to generate as much electrical energy as possible within the household. The results show that the presented approach enables the response of demand and generation in the household to the supply conditions of electricity. Additionally, we describe and discuss a way to decrease the computation time of the EMS by approximating the influence of random variables.
Starting Page	1
Ending Page	7
File Size	357562
Page Count	7
File Format	PDF
ISBN	9781457708732
e-ISBN	9781457708756
e-ISBN	9781457708749
DOI	10.1109/ISGT-Asia.2011.6167090
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-13
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Demand Response Smart homes Batteries Home Automation Distributed Generation Smart Home Dynamic Programming Fuel cells Cost function Dynamic programming Random variables Energy management Energy Management System
Content Type	Text
Resource Type	Article

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