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
|Author:||Louis, Jean-Nicolas1; Caló, Antonio1; Pongrácz, Eva1;|
1Thule Institute, NorTech Oulu University of Oulu Oulu, Finland
2Control Engineering Laboratory University of Oulu Oulu, Finland
|Online Access:||PDF Full Text (PDF, 1 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe201703082029
|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.
International journal on advances in intelligent systems
|Pages:||560 - 571|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
218 Environmental engineering
The Thule Institute Doctoral Programme is acknowledged for financing this research.
2014, © Copyright by authors, Published under agreement with IARIA - www.iaria.org.