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Modelling and optimal energy-saving control of automotive air-conditioning and refrigeration systems

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dc.contributor.authorHuang, Yanjun
dc.contributor.authorKhajepour, Amir
dc.contributor.authorBagheri, Farshid
dc.contributor.authorBahrami, Majid
dc.contributor.authorBagheri
dc.date.accessioned2017-03-30T18:55:37Z
dc.date.available2017-03-30T18:55:37Z
dc.date.issued2017-02-01
dc.descriptionTo view the final version of this © SAGE publication go here: https://doi.org/10.1177/0954407016636978en
dc.description.abstractAir-conditioning and refrigeration systems are extensively adopted in homes, industry and vehicles. An important step in achieving a better performance and a higher energy efficiency for air-conditioning and refrigeration systems is a control-based model and a suitable control strategy. As a result, a dynamic model based on the moving-boundary and lumped-parameter method is developed in this paper. Unlike existing models, the proposed model lumps the effects of the fins into two equivalent parameters without adding any complexity and considers the effect produced by the superheated section of the condenser, resulting in a model that is not only simpler but also more accurate than the existing models. In addition, a model predictive controller is designed on the basis of the proposed model to enhance the energy efficiency of the air-conditioning and refrigeration systems. Simulations and experimental results are presented to demonstrate the accuracy of the model. The experiments show that an energy saving of about 8% can be achieved by using the proposed model predictive controller compared with the conventional on–off controller under the examined scenario. The better performance of the proposed controller requires electrification of the automotive air-conditioning and refrigeration systems so as to eliminate the idling caused by running the air-conditioning and refrigeration systems when a vehicle stops.en
dc.description.sponsorshipAutomotive Partnership Canada (APC) || Cool-it Groupen
dc.identifier.urihttps://doi.org/10.1177/0954407016636978
dc.identifier.urihttp://hdl.handle.net/10012/11617
dc.language.isoenen
dc.publisherSageen
dc.subjectControl-based dynamic modelen
dc.subjectEnergy efficiencyen
dc.subjectModel predictive controlleren
dc.subjectAutomotive A/C-R system electrificationen
dc.subjectIdlingen
dc.titleModelling and optimal energy-saving control of automotive air-conditioning and refrigeration systemsen
dc.typeArticleen
dcterms.bibliographicCitationHuang, Y., Khajepour, A., Bagheri, F., & Bahrami, M. (2017). Modelling and optimal energy-saving control of automotive air-conditioning and refrigeration systems. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 231(3), 291–309. https://doi.org/10.1177/0954407016636978en
uws.contributor.affiliation1Faculty of Engineeringen
uws.contributor.affiliation2Mechanical and Mechatronics Engineeringen
uws.peerReviewStatusRevieweden
uws.scholarLevelFacultyen
uws.typeOfResourceTexten

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