An Economic Model-Based Predictive Control to Manage the Users’ Thermal Comfort in a Building
The goal of maintaining users’ thermal comfort conditions in indoor environments may require complex regulation procedures and a proper energy management. This problem is being widely analyzed, since it has a direct effect on users’ productivity. This paper presents an economic model-based predictiv...
| Main Authors: | , , , |
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| Format: | info:eu-repo/semantics/article |
| Language: | English |
| Published: |
MDPI
2020
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10835/7404 |
| _version_ | 1789406305679572992 |
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| author | Alamin, Yaser Imad Castilla Nieto, María del Mar Álvarez Hervás, José Domingo Ruano, Antonio |
| author_facet | Alamin, Yaser Imad Castilla Nieto, María del Mar Álvarez Hervás, José Domingo Ruano, Antonio |
| author_sort | Alamin, Yaser Imad |
| collection | DSpace |
| description | The goal of maintaining users’ thermal comfort conditions in indoor environments may require complex regulation procedures and a proper energy management. This problem is being widely analyzed, since it has a direct effect on users’ productivity. This paper presents an economic model-based predictive control (MPC) whose main strength is the use of the day-ahead price (DAP) in order to predict the energy consumption associated with the heating, ventilation and air conditioning (HVAC). In this way, the control system is able to maintain a high thermal comfort level by optimizing the use of the HVAC system and to reduce, at the same time, the energy consumption associated with it, as much as possible. Later, the performance of the proposed control system is tested through simulations with a non-linear model of a bioclimatic building room. Several simulation scenarios are considered as a test-bed. From the obtained results, it is possible to conclude that the control system has a good behavior in several situations, i.e., it can reach the users’ thermal comfort for the analyzed situations, whereas the HVAC use is adjusted through the DAP; therefore, the energy savings associated with the HVAC is increased. |
| format | info:eu-repo/semantics/article |
| id | oai:repositorio.ual.es:10835-7404 |
| institution | Universidad de Cuenca |
| language | English |
| publishDate | 2020 |
| publisher | MDPI |
| record_format | dspace |
| spelling | oai:repositorio.ual.es:10835-74042023-10-27T12:24:34Z An Economic Model-Based Predictive Control to Manage the Users’ Thermal Comfort in a Building Alamin, Yaser Imad Castilla Nieto, María del Mar Álvarez Hervás, José Domingo Ruano, Antonio thermal comfort energy efficiency Predicted Mean Vote index economic MPC The goal of maintaining users’ thermal comfort conditions in indoor environments may require complex regulation procedures and a proper energy management. This problem is being widely analyzed, since it has a direct effect on users’ productivity. This paper presents an economic model-based predictive control (MPC) whose main strength is the use of the day-ahead price (DAP) in order to predict the energy consumption associated with the heating, ventilation and air conditioning (HVAC). In this way, the control system is able to maintain a high thermal comfort level by optimizing the use of the HVAC system and to reduce, at the same time, the energy consumption associated with it, as much as possible. Later, the performance of the proposed control system is tested through simulations with a non-linear model of a bioclimatic building room. Several simulation scenarios are considered as a test-bed. From the obtained results, it is possible to conclude that the control system has a good behavior in several situations, i.e., it can reach the users’ thermal comfort for the analyzed situations, whereas the HVAC use is adjusted through the DAP; therefore, the energy savings associated with the HVAC is increased. 2020-01-16T12:12:57Z 2020-01-16T12:12:57Z 2017-03-07 info:eu-repo/semantics/article 1996-1073 http://hdl.handle.net/10835/7404 en https://www.mdpi.com/1996-1073/10/3/321 Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess MDPI |
| spellingShingle | thermal comfort energy efficiency Predicted Mean Vote index economic MPC Alamin, Yaser Imad Castilla Nieto, María del Mar Álvarez Hervás, José Domingo Ruano, Antonio An Economic Model-Based Predictive Control to Manage the Users’ Thermal Comfort in a Building |
| title | An Economic Model-Based Predictive Control to Manage the Users’ Thermal Comfort in a Building |
| title_full | An Economic Model-Based Predictive Control to Manage the Users’ Thermal Comfort in a Building |
| title_fullStr | An Economic Model-Based Predictive Control to Manage the Users’ Thermal Comfort in a Building |
| title_full_unstemmed | An Economic Model-Based Predictive Control to Manage the Users’ Thermal Comfort in a Building |
| title_short | An Economic Model-Based Predictive Control to Manage the Users’ Thermal Comfort in a Building |
| title_sort | economic model-based predictive control to manage the users’ thermal comfort in a building |
| topic | thermal comfort energy efficiency Predicted Mean Vote index economic MPC |
| url | http://hdl.handle.net/10835/7404 |
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