How can We Tackle Energy Efficiency in IoT BasedSmart Buildings?
Nowadays, buildings are increasingly expected to meet higher and more complex performance requirements. Among these requirements, energy efficiency is recognized as an international goal to promote energy sustainability of the planet. Different approaches have been adopted to address this goal, the...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2014-05-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/14/6/9582 |
| _version_ | 1811304961382809600 |
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| author | M. Victoria Moreno Benito Úbeda Antonio F. Skarmeta Miguel A. Zamora |
| author_facet | M. Victoria Moreno Benito Úbeda Antonio F. Skarmeta Miguel A. Zamora |
| author_sort | M. Victoria Moreno |
| collection | DOAJ |
| description | Nowadays, buildings are increasingly expected to meet higher and more complex performance requirements. Among these requirements, energy efficiency is recognized as an international goal to promote energy sustainability of the planet. Different approaches have been adopted to address this goal, the most recent relating consumption patterns with human occupancy. In this work, we analyze what are the main parameters that should be considered to be included in any building energy management. The goal of this analysis is to help designers to select the most relevant parameters to control the energy consumption of buildings according to their context, selecting them as input data of the management system. Following this approach, we select three reference smart buildings with different contexts, and where our automation platform for energy monitoring is deployed. We carry out some experiments in these buildings to demonstrate the influence of the parameters identified as relevant in the energy consumption of the buildings. Then, in two of these buildings are applied different control strategies to save electrical energy. We describe the experiments performed and analyze the results. The first stages of this evaluation have already resulted in energy savings of about 23% in a real scenario. |
| first_indexed | 2024-04-13T08:18:00Z |
| format | Article |
| id | doaj.art-5aff09bfb90b43dc83a949a0c0717a7c |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T08:18:00Z |
| publishDate | 2014-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-5aff09bfb90b43dc83a949a0c0717a7c2022-12-22T02:54:44ZengMDPI AGSensors1424-82202014-05-011469582961410.3390/s140609582s140609582How can We Tackle Energy Efficiency in IoT BasedSmart Buildings?M. Victoria Moreno0Benito Úbeda1Antonio F. Skarmeta2Miguel A. Zamora3Department of Information and Communications Engineering, University of Murcia, 30100 Murcia, SpainDepartment of Information and Communications Engineering, University of Murcia, 30100 Murcia, SpainDepartment of Information and Communications Engineering, University of Murcia, 30100 Murcia, SpainDepartment of Information and Communications Engineering, University of Murcia, 30100 Murcia, SpainNowadays, buildings are increasingly expected to meet higher and more complex performance requirements. Among these requirements, energy efficiency is recognized as an international goal to promote energy sustainability of the planet. Different approaches have been adopted to address this goal, the most recent relating consumption patterns with human occupancy. In this work, we analyze what are the main parameters that should be considered to be included in any building energy management. The goal of this analysis is to help designers to select the most relevant parameters to control the energy consumption of buildings according to their context, selecting them as input data of the management system. Following this approach, we select three reference smart buildings with different contexts, and where our automation platform for energy monitoring is deployed. We carry out some experiments in these buildings to demonstrate the influence of the parameters identified as relevant in the energy consumption of the buildings. Then, in two of these buildings are applied different control strategies to save electrical energy. We describe the experiments performed and analyze the results. The first stages of this evaluation have already resulted in energy savings of about 23% in a real scenario.http://www.mdpi.com/1424-8220/14/6/9582internet of thingssmart buildingenergy efficiency |
| spellingShingle | M. Victoria Moreno Benito Úbeda Antonio F. Skarmeta Miguel A. Zamora How can We Tackle Energy Efficiency in IoT BasedSmart Buildings? Sensors internet of things smart building energy efficiency |
| title | How can We Tackle Energy Efficiency in IoT BasedSmart Buildings? |
| title_full | How can We Tackle Energy Efficiency in IoT BasedSmart Buildings? |
| title_fullStr | How can We Tackle Energy Efficiency in IoT BasedSmart Buildings? |
| title_full_unstemmed | How can We Tackle Energy Efficiency in IoT BasedSmart Buildings? |
| title_short | How can We Tackle Energy Efficiency in IoT BasedSmart Buildings? |
| title_sort | how can we tackle energy efficiency in iot basedsmart buildings |
| topic | internet of things smart building energy efficiency |
| url | http://www.mdpi.com/1424-8220/14/6/9582 |
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