Improving the Ambient Temperature Control Performance in Smart Homes and Buildings
Currently, it is becoming increasingly common to find numerous electronic devices installed in office and residential spaces as part of building automation solutions. These devices provide a rich set of data related to the inside and outside environment, such as indoor and outdoor temperature, humid...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-01-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/21/2/423 |
| _version_ | 1797414012718153728 |
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| author | Fernando Fontes Rómulo Antão Alexandre Mota Paulo Pedreiras |
| author_facet | Fernando Fontes Rómulo Antão Alexandre Mota Paulo Pedreiras |
| author_sort | Fernando Fontes |
| collection | DOAJ |
| description | Currently, it is becoming increasingly common to find numerous electronic devices installed in office and residential spaces as part of building automation solutions. These devices provide a rich set of data related to the inside and outside environment, such as indoor and outdoor temperature, humidity, and solar radiation. However, commercial of-the-shelf climatic control systems continue to rely on simple controllers like proportional-integral-derivative or even on-off, which do not take into account such variables. This work evaluates the potential performance gains of adopting more advanced controllers, in this case based on pole-placement, enhanced with additional variables, namely solar radiation and external temperature, obtained with dedicated low-cost sensors. This approach is evaluated both in simulated and real-world environments. The obtained results show that pole-placement controllers clearly outperform on-off controllers and that the use of the additional variables in pole-placement controllers allows relevant performance gains in key parameters such as error signal MSE (17%) and control signal variance (40%), when compared with simple PP controllers. The observed energy consumption savings obtained by using the additional variables are marginal (≈1%, but the reduction of the error signal MSE and control signal variance have a significant impact on energy consumption peaks and on equipment lifetime, thus largely compensating the increase in the system complexity. |
| first_indexed | 2024-03-09T05:25:56Z |
| format | Article |
| id | doaj.art-13a8c8088d5446e7b2f9e7d3498da1a6 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T05:25:56Z |
| publishDate | 2021-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-13a8c8088d5446e7b2f9e7d3498da1a62023-12-03T12:36:16ZengMDPI AGSensors1424-82202021-01-0121242310.3390/s21020423Improving the Ambient Temperature Control Performance in Smart Homes and BuildingsFernando Fontes0Rómulo Antão1Alexandre Mota2Paulo Pedreiras3Departament of Electronics, Telecommunications and Informatics (DETI), University of Aveiro, 3810-193 Aveiro, PortugalDepartament of Electronics, Telecommunications and Informatics (DETI), University of Aveiro, 3810-193 Aveiro, PortugalDepartament of Electronics, Telecommunications and Informatics (DETI), University of Aveiro, 3810-193 Aveiro, PortugalDepartament of Electronics, Telecommunications and Informatics (DETI), University of Aveiro, 3810-193 Aveiro, PortugalCurrently, it is becoming increasingly common to find numerous electronic devices installed in office and residential spaces as part of building automation solutions. These devices provide a rich set of data related to the inside and outside environment, such as indoor and outdoor temperature, humidity, and solar radiation. However, commercial of-the-shelf climatic control systems continue to rely on simple controllers like proportional-integral-derivative or even on-off, which do not take into account such variables. This work evaluates the potential performance gains of adopting more advanced controllers, in this case based on pole-placement, enhanced with additional variables, namely solar radiation and external temperature, obtained with dedicated low-cost sensors. This approach is evaluated both in simulated and real-world environments. The obtained results show that pole-placement controllers clearly outperform on-off controllers and that the use of the additional variables in pole-placement controllers allows relevant performance gains in key parameters such as error signal MSE (17%) and control signal variance (40%), when compared with simple PP controllers. The observed energy consumption savings obtained by using the additional variables are marginal (≈1%, but the reduction of the error signal MSE and control signal variance have a significant impact on energy consumption peaks and on equipment lifetime, thus largely compensating the increase in the system complexity.https://www.mdpi.com/1424-8220/21/2/423smart buildings temperature controlpol-placementsystem identificationlow-cost sensors |
| spellingShingle | Fernando Fontes Rómulo Antão Alexandre Mota Paulo Pedreiras Improving the Ambient Temperature Control Performance in Smart Homes and Buildings Sensors smart buildings temperature control pol-placement system identification low-cost sensors |
| title | Improving the Ambient Temperature Control Performance in Smart Homes and Buildings |
| title_full | Improving the Ambient Temperature Control Performance in Smart Homes and Buildings |
| title_fullStr | Improving the Ambient Temperature Control Performance in Smart Homes and Buildings |
| title_full_unstemmed | Improving the Ambient Temperature Control Performance in Smart Homes and Buildings |
| title_short | Improving the Ambient Temperature Control Performance in Smart Homes and Buildings |
| title_sort | improving the ambient temperature control performance in smart homes and buildings |
| topic | smart buildings temperature control pol-placement system identification low-cost sensors |
| url | https://www.mdpi.com/1424-8220/21/2/423 |
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