An autonomous hierarchical control for improving indoor comfort and energy efficiency of a direct expansion air conditioning system

dc.contributor.authorMei, Jun
dc.contributor.authorXia, Xiaohua
dc.contributor.authorSong, Mengjie
dc.date.accessioned2018-04-19T06:59:42Z
dc.date.issued2018-07
dc.description.abstractThis paper presents an autonomous hierarchical control method for a direct expansion air conditioning system. The control objective is to maintain both thermal comfort and indoor air quality at required levels while reducing energy consumption and cost. This control method consists of two layers. The upper layer is an open loop controller that allows obtaining tradeoff steady states by optimizing the energy cost of the direct expansion air conditioning system and the value of predicted mean vote under the time-of-use price structure of electricity. On the other hand, the lower layer designs a model predictive controller, which is in charge of tracking the tradeoff steady states calculated by the upper layer. Control performance of the proposed control method is compared to a conventional control strategy. The results show that the proposed control strategy reduces the energy consumption and energy cost of the direct expansion air conditioning system by 31.38% and 33.85%, respectively, while maintaining both the thermal comfort and indoor air quality within acceptable ranges, which validate the proposed methodology in terms of both comfort and energy efficiency.en_ZA
dc.description.departmentElectrical, Electronic and Computer Engineeringen_ZA
dc.description.embargo2019-07-01
dc.description.librarianhj2018en_ZA
dc.description.urihttp://www.elsevier.com/locate/apenergyen_ZA
dc.identifier.citationMei, J., Xia, X. & Song, M. 2018, 'An autonomous hierarchical control for improving indoor comfort and energy efficiency of a direct expansion air conditioning system', Applied Energy, vol. 221, pp. 450-463.en_ZA
dc.identifier.issn0306-2619 (print)
dc.identifier.issn1872-9118 (online)
dc.identifier.other10.1016/j.apenergy.2018.03.162
dc.identifier.urihttp://hdl.handle.net/2263/64604
dc.language.isoenen_ZA
dc.publisherElsevieren_ZA
dc.rights© 2018 Elsevier Ltd. All rights reserved. Notice : this is the author’s version of a work that was accepted for publication in Applied Energy. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. A definitive version was subsequently published in Applied Energy, vol. 221, pp. 450-463, 2018, doi : 10.1016/j.apenergy.2018.03.162.en_ZA
dc.subjectTime-of-useen_ZA
dc.subjectEnergy savingen_ZA
dc.subjectModel predictive controlen_ZA
dc.subjectPMV indexen_ZA
dc.subjectAutonomous hierarchical controlen_ZA
dc.subjectPredicted mean vote (PMV)en_ZA
dc.subjectHeating, ventilation and air conditioning (HVAC)en_ZA
dc.titleAn autonomous hierarchical control for improving indoor comfort and energy efficiency of a direct expansion air conditioning systemen_ZA
dc.typePostprint Articleen_ZA

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