Repetitive Control to Improve Users’ Thermal Comfort and Energy Efficiency in Buildings
The development of control systems to reach and maintain optimal thermal comfort inside buildings is a research topic which has received great attention in the last several years because people’s productivity is linked to their comfort. The main weakness of these control systems is that they do not...
| Main Authors: | , , |
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| Format: | info:eu-repo/semantics/article |
| Language: | English |
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MDPI
2020
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10835/7356 |
| _version_ | 1789406389439823872 |
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| author | Álvarez Hervás, José Domingo Costa Castelló, Ramón Castilla Nieto, María del Mar |
| author_facet | Álvarez Hervás, José Domingo Costa Castelló, Ramón Castilla Nieto, María del Mar |
| author_sort | Álvarez Hervás, José Domingo |
| collection | DSpace |
| description | The development of control systems to reach and maintain optimal thermal comfort inside buildings is a research topic which has received great attention in the last several years because people’s productivity is linked to their comfort. The main weakness of these control systems is that they do not take into account that people affect their own thermal comfort, since humans are heat sources that increase the temperature inside buildings. For this reason, people can be considered as disturbances to thermal comfort control systems. Usually, people follow a timetable along the week, so they enter and leave buildings at the same time every day. Taking this behavior into account can be very useful in improving people’s thermal comfort. In this paper, a repetitive control (RC) approach that makes use of this information to anticipate the effects of people on indoor temperature is presented. Besides that, the control system includes a proportional–integral (PI) controller in charge of counteracting the non-periodic disturbances. Simulation results obtained with this control system through a room simulator are presented in order to show its efficiency. |
| format | info:eu-repo/semantics/article |
| id | oai:repositorio.ual.es:10835-7356 |
| institution | Universidad de Cuenca |
| language | English |
| publishDate | 2020 |
| publisher | MDPI |
| record_format | dspace |
| spelling | oai:repositorio.ual.es:10835-73562023-10-27T12:24:34Z Repetitive Control to Improve Users’ Thermal Comfort and Energy Efficiency in Buildings Álvarez Hervás, José Domingo Costa Castelló, Ramón Castilla Nieto, María del Mar repetitive control thermal comfort Predicted Mean Vote (PMV) index energy efficiency The development of control systems to reach and maintain optimal thermal comfort inside buildings is a research topic which has received great attention in the last several years because people’s productivity is linked to their comfort. The main weakness of these control systems is that they do not take into account that people affect their own thermal comfort, since humans are heat sources that increase the temperature inside buildings. For this reason, people can be considered as disturbances to thermal comfort control systems. Usually, people follow a timetable along the week, so they enter and leave buildings at the same time every day. Taking this behavior into account can be very useful in improving people’s thermal comfort. In this paper, a repetitive control (RC) approach that makes use of this information to anticipate the effects of people on indoor temperature is presented. Besides that, the control system includes a proportional–integral (PI) controller in charge of counteracting the non-periodic disturbances. Simulation results obtained with this control system through a room simulator are presented in order to show its efficiency. 2020-01-16T10:28:51Z 2020-01-16T10:28:51Z 2018-04-18 info:eu-repo/semantics/article 1996-1073 http://hdl.handle.net/10835/7356 en https://www.mdpi.com/1996-1073/11/4/976 Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess MDPI |
| spellingShingle | repetitive control thermal comfort Predicted Mean Vote (PMV) index energy efficiency Álvarez Hervás, José Domingo Costa Castelló, Ramón Castilla Nieto, María del Mar Repetitive Control to Improve Users’ Thermal Comfort and Energy Efficiency in Buildings |
| title | Repetitive Control to Improve Users’ Thermal Comfort and Energy Efficiency in Buildings |
| title_full | Repetitive Control to Improve Users’ Thermal Comfort and Energy Efficiency in Buildings |
| title_fullStr | Repetitive Control to Improve Users’ Thermal Comfort and Energy Efficiency in Buildings |
| title_full_unstemmed | Repetitive Control to Improve Users’ Thermal Comfort and Energy Efficiency in Buildings |
| title_short | Repetitive Control to Improve Users’ Thermal Comfort and Energy Efficiency in Buildings |
| title_sort | repetitive control to improve users’ thermal comfort and energy efficiency in buildings |
| topic | repetitive control thermal comfort Predicted Mean Vote (PMV) index energy efficiency |
| url | http://hdl.handle.net/10835/7356 |
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