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

Jean Nicolas Louis (Corresponding Author), Antonio Caló, Kauko Leiviskä, Eva Pongrácz

Research output: Contribution to journalArticleScientificpeer-review

23 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)218-232
Number of pages15
JournalEnergy and Buildings
Volume119
DOIs
Publication statusPublished - 1 May 2016
MoE publication typeA1 Journal article-refereed

Keywords

  • Electricity pricing
  • Electricity usage
  • Home Energy Management System (HEMS)
  • Markov-chain
  • Occupancy
  • Simulation
  • Smart building
  • Sustainability
  • Technological impact
  • User-response

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