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ThinkMind // ENERGY 2014, The Fourth International Conference on Smart Grids, Green Communications and IT Energy-aware Technologies // View article energy_2014_3_10_30038


Smart Houses for Energy Efficiency and Carbon Dioxide Emission Reduction

Authors:
Jean-Nicolas Louis
Antonio Caló
Eva Pongrácz

Keywords: CO2 emissions; Home Automation; Load shifting; modelling;

Abstract:
Understanding the energy consumption of households is a cornerstone for improving residential energy efficiency. In addition, the CO2 emission profile of energy consumption must be fully understood, to achieve the decarbonisation of energy sector in Europe. Smart houses incorporated into smart grids allow the survey and control of household energy consumption. In this article, the electricity consumption and its related CO2 emissions are studied for a typical Finnish household. A model detached house is used to simulate the effect of home automation, designed to optimize energy usage, on the CO2 emissions of this household. Hourly electricity production data are used with an hourly electricity consumption profile generated using fuzzy logic. CO2 emissions were obtained from the monthly and weekly electricity generated data. The CO2 emissions related to the use of electric appliances represent around 543 kgCO2/y per dwelling when considering the electricity generated only, and 335 kgCO2/y when balancing the emissions with the exported and imported electricity. Home automation reduced the CO2 emissions by 13 %. Part of emission reduction was achieved through peak shifting, by moving energy consumption load from daytime to night time. This paper aims at highlighting the role of home automation in reducing CO2 emissions of the residential sector in the context of smart grid development.

Pages: 44 to 50

Copyright: Copyright (c) IARIA, 2014

Publication date: April 20, 2014

Published in: conference

ISSN: 2308-412X

ISBN: 978-1-61208-332-2

Location: Chamonix, France

Dates: from April 20, 2014 to April 24, 2014

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