University of Oulu

Louis, Jean-Nicolas & Caló, Antonio & Pongrácz, Eva & Leiviskä, Kauko (2014) A Methodology for accounting the CO₂ emissions of electricity generation in Finland. International journal on advances in intelligent systems 7 (3 & 4): 560-571.

A methodology for accounting the CO₂ emissions of electricity generation in Finland : the contribution of home automation to decarbonisation in the residential sector

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Author: Louis, Jean-Nicolas1; Caló, Antonio1; Pongrácz, Eva1;
Organizations: 1Thule Institute, NorTech Oulu University of Oulu Oulu, Finland
2Control Engineering Laboratory University of Oulu Oulu, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 1 MB)
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Language: English
Published: IARIA, 2014
Publish Date: 2017-03-08


To achieve the decarbonisation of the energy sector in Europe, the CO₂ emission profile of energy consumption must be fully understood. A new methodology for accounting for CO₂ emissions is required for representing the dynamics of emissions. In this article, a dynamic integration of CO₂ emissions due to the electricity production and trade was developed. Electricity consumption and related CO₂ emissions are studied for a typical Finnish household. A model detached house is used to simulate the effect of home automation on CO₂ emissions. Hourly electricity production data are used with an hourly electricity consumption profile generated using fuzzy logic. CO₂ emissions were obtained from recorded data as well as estimated based on monthly, weekly, and daily generated electricity data. The CO₂ emissions due to the use of electric appliances are around 543 kgCO₂/y per house when considering only the generated electricity, and 335 kgCO₂/y when balancing the emissions with exported and imported electricity. The results of the simulation indicate that home automation can reduce CO₂ emissions by 13%. Part of emission reduction was achieved through peak shifting, by moving energy consumption load from daytime to night time. The paper highlights the role of home automation in reducing CO₂ emissions of the residential sector in the context of smart grid development.

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Series: International journal on advances in intelligent systems
ISSN: 1942-2679
ISSN-E: 1942-2679
ISSN-L: 1942-2679
Volume: 7
Issue: 3&4
Pages: 560 - 571
Type of Publication: A1 Journal article – refereed
Field of Science: 218 Environmental engineering
Funding: The Thule Institute Doctoral Programme is acknowledged for financing this research.
Copyright information: 2014, © Copyright by authors, Published under agreement with IARIA -