The trade-off between technology deployment and enviro-economic benefits in smart buildings

Jean Nicolas Louis, Eva Pongrácz, Kauko Leiviskä

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

3 Citations (Scopus)

Abstract

Smart grids are meant to reach multiple goals such as leveling the electricity demand profile, reducing electricity consumption and increasing the energy efficiency of the electrical grid. Smart buildings play an important role in achieving these goals. With an increased number of measuring and controlling tools, new problems also arise, such as their economic and environmental impacts, juxtaposed to the levels of savings achieved by them. This research investigated the impact of home automation on electricity consumption, related CO2 emissions and costs. A smart building model with its appliances and different number of inhabitants was used along with eight electricity contracts and four different technology systems deployed. The results showed that a fully deployed automation system may be counterproductive, as the electricity need of the system may exceed the savings achieved by it. Therefore, a careful selection of the appliances to be used should be performed.

Original languageEnglish
Title of host publication2015 12th International Conference on the European Energy Market, EEM 2015
PublisherIEEE Institute of Electrical and Electronic Engineers
ISBN (Electronic)9781467366915
DOIs
Publication statusPublished - 20 Aug 2015
MoE publication typeA4 Article in a conference publication
Event12th International Conference on the European Energy Market, EEM 2015 - Lisbon, Portugal
Duration: 19 May 201522 May 2015

Publication series

SeriesInternational Conference on the European Energy Market, EEM
Volume2015-August
ISSN2165-4077

Conference

Conference12th International Conference on the European Energy Market, EEM 2015
Country/TerritoryPortugal
CityLisbon
Period19/05/1522/05/15

Keywords

  • Building automation
  • Economic
  • Energy consumption
  • Environmental factors
  • Load management

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