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.