University of Oulu

Jean-Nicolas Louis, Antonio Caló, Kauko Leiviskä, Eva Pongrácz, Modelling home electricity management for sustainability: The impact of response levels, technological deployment & occupancy, Energy and Buildings, Volume 119, 1 May 2016, Pages 218-232, ISSN 0378-7788, http://dx.doi.org/10.1016/j.enbuild.2016.03.012.

Modelling home electricity management for sustainability : the impact of response levels, technological deployment & occupancy

Saved in:
Author: Louis, Jean-Nicolas1; Caló, Antonio1; Leiviskä, Kauko2;
Organizations: 1Energy and Environmental Engineering, Faculty of Technology, University of Oulu, P.O.Box 4300, FI-90014 Oulu, Finland
2Control Engineering, Faculty of Technology, University of Oulu, P.O.Box 4300, FI-90014 Oulu, Finland
Format: article
Version: accepted version
Access: embargoed
Persistent link: http://urn.fi/urn:nbn:fi-fe201703061961
Language: English
Published: Elsevier, 2016
Publish Date: 2018-05-01
Description:

Abstract

The evolution of electricity grids into a smart grid requires the inclusion of control systems to control load, flatten peaks and ensure the distribution of electricity. In parallel, the building sector will also be incorporating more control technology and put emphasis on sustainability issues such as reducing CO2 emissions associated with the buildings’ electricity consumption. This article aims at modelling the residential sector and assesses the different levels of technology deployment to control the electricity consumption of household appliances. The number of inhabitants and their habits are also considered, and the response levels of users towards control systems are simulated. For this matter, a Markov-chain algorithm was developed for synthesising the electric load and introducing Home Energy Management System (HEMS). The emission levels from electricity consumption were assessed based on hourly CO2 emission data from electricity production in Finland. Numerous electricity pricing models were also included, to assess the economic impacts of HEMS. The article suggests that a fully deployed HEMS may not be profitable for households with a low number of inhabitants. This is because the power consumption of appliances in stand-by mode offsets the positive impacts of HEMS on the electricity consumption profile.

see all

Series: Energy and buildings
ISSN: 0378-7788
ISSN-E: 1872-6178
ISSN-L: 0378-7788
Volume: 119
Pages: 218 - 232
DOI: 10.1016/j.enbuild.2016.03.012
OADOI: https://oadoi.org/10.1016/j.enbuild.2016.03.012
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
218 Environmental engineering
Subjects: