Abstract
Smart grids are meant to reach multiple goals such as leveling the electricity demand profile, reducing electricity consumption and increasing the energy efficiency of the electrical grid. Smart buildings play an important role in achieving these goals. With an increased number of measuring and controlling tools, new problems also arise, such as their economic and environmental impacts, juxtaposed to the levels of savings achieved by them. This research investigated the impact of home automation on electricity consumption, related CO2 emissions and costs. A smart building model with its appliances and different number of inhabitants was used along with eight electricity contracts and four different technology systems deployed. The results showed that a fully deployed automation system may be counterproductive, as the electricity need of the system may exceed the savings achieved by it. Therefore, a careful selection of the appliances to be used should be performed.
| Original language | English |
|---|---|
| Title of host publication | 2015 12th International Conference on the European Energy Market, EEM 2015 |
| Publisher | IEEE Institute of Electrical and Electronic Engineers |
| ISBN (Electronic) | 9781467366915 |
| DOIs | |
| Publication status | Published - 20 Aug 2015 |
| MoE publication type | A4 Article in a conference publication |
| Event | 12th International Conference on the European Energy Market, EEM 2015 - Lisbon, Portugal Duration: 19 May 2015 → 22 May 2015 |
Publication series
| Series | International Conference on the European Energy Market, EEM |
|---|---|
| Volume | 2015-August |
| ISSN | 2165-4077 |
Conference
| Conference | 12th International Conference on the European Energy Market, EEM 2015 |
|---|---|
| Country/Territory | Portugal |
| City | Lisbon |
| Period | 19/05/15 → 22/05/15 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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SDG 8 Decent Work and Economic Growth
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SDG 13 Climate Action
Keywords
- Building automation
- Economic
- Energy consumption
- Environmental factors
- Load management
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