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...

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Autores: Alamin, Yaser Imad, Castilla Nieto, María del Mar, Álvarez Hervás, José Domingo, Ruano, Antonio
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2017
País:España
Institución:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/60628
Acceso en línea:http://hdl.handle.net/11441/60628
https://doi.org/10.3390/en10030321
Access Level:acceso abierto
Palabra clave:Thermal comfort
Energy efficiency
Predicted Mean Vote index
Economic MPC
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spelling An Economic Model-Based Predictive Control to Manage the Users’ Thermal Comfort in a BuildingAlamin, Yaser ImadCastilla Nieto, María del MarÁlvarez Hervás, José DomingoRuano, AntonioThermal comfortEnergy efficiencyPredicted Mean Vote indexEconomic MPCThe 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 increasedMinisterio de Ciencia e Innovación y fondos UE-FEDER DPI2014-56364-C2-1-RFundación Portuguesa de Ciencia y Tecnología ID / EMS / 50022/2013MDPIIngeniería de Sistemas y AutomáticaMinisterio de Ciencia e Innovación (MICIN). EspañaFundação para a Ciência e a Tecnologia. Portugal2017info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/11441/60628https://doi.org/10.3390/en10030321reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésEnergies, 10 (3), 1-18.DPI2014-56364-C2-1-RID / EMS / 50022/2013http://dx.doi.org/10.3390/en10030321info:eu-repo/semantics/openAccessoai:idus.us.es:11441/606282026-06-17T12:51:07Z
dc.title.none.fl_str_mv 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
spellingShingle An Economic Model-Based Predictive Control to Manage the Users’ Thermal Comfort in a Building
Alamin, Yaser Imad
Thermal comfort
Energy efficiency
Predicted Mean Vote index
Economic MPC
title_short 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_sort An Economic Model-Based Predictive Control to Manage the Users’ Thermal Comfort in a Building
dc.creator.none.fl_str_mv Alamin, Yaser Imad
Castilla Nieto, María del Mar
Álvarez Hervás, José Domingo
Ruano, Antonio
author Alamin, Yaser Imad
author_facet Alamin, Yaser Imad
Castilla Nieto, María del Mar
Álvarez Hervás, José Domingo
Ruano, Antonio
author_role author
author2 Castilla Nieto, María del Mar
Álvarez Hervás, José Domingo
Ruano, Antonio
author2_role author
author
author
dc.contributor.none.fl_str_mv Ingeniería de Sistemas y Automática
Ministerio de Ciencia e Innovación (MICIN). España
Fundação para a Ciência e a Tecnologia. Portugal
dc.subject.none.fl_str_mv Thermal comfort
Energy efficiency
Predicted Mean Vote index
Economic MPC
topic Thermal comfort
Energy efficiency
Predicted Mean Vote index
Economic MPC
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
publishDate 2017
dc.date.none.fl_str_mv 2017
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11441/60628
https://doi.org/10.3390/en10030321
url http://hdl.handle.net/11441/60628
https://doi.org/10.3390/en10030321
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Energies, 10 (3), 1-18.
DPI2014-56364-C2-1-R
ID / EMS / 50022/2013
http://dx.doi.org/10.3390/en10030321
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
repository.name.fl_str_mv
repository.mail.fl_str_mv
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