LAPSE:2019.1397
Published Article
LAPSE:2019.1397
An Economic Model-Based Predictive Control to Manage the Users’ Thermal Comfort in a Building
Yaser Imad Alamin, María del Mar Castilla, José Domingo Álvarez, Antonio Ruano
December 10, 2019
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.
Keywords
economic MPC, Energy Efficiency, Predicted Mean Vote index, thermal comfort
Suggested Citation
Alamin YI, Castilla MDM, Álvarez JD, Ruano A. An Economic Model-Based Predictive Control to Manage the Users’ Thermal Comfort in a Building. (2019). LAPSE:2019.1397
Author Affiliations
Alamin YI: Department of Informatics, University of Almería, Agrifood Campus of International Excellence (ceiA3) CIESOL Joint Centre University of Almería—CIEMAT, 04120 Almería, Spain
Castilla MDM: Department of System Engineering and Automation, School of Engineering, University of Seville, 41092 Seville, Spain
Álvarez JD: Department of Informatics, University of Almería, Agrifood Campus of International Excellence (ceiA3) CIESOL Joint Centre University of Almería—CIEMAT, 04120 Almería, Spain [ORCID]
Ruano A: Faculty of Science and Technology, University of Algarve, Faro, Portugal and, IDMEC, Instituto Superior Técnico, Universidade de Lisboa, 1049-001 Lisboa, Portugal [ORCID]
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Journal Name
Energies
Volume
10
Issue
3
Article Number
E321
Year
2017
Publication Date
2017-03-07
Published Version
ISSN
1996-1073
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Original Submission
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PII: en10030321, Publication Type: Journal Article
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LAPSE:2019.1397
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doi:10.3390/en10030321
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Dec 10, 2019
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Dec 10, 2019
 
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Dec 10, 2019
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Calvin Tsay
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