An optimal energy management system for a commercial building with renewable energy generation under real-time electricity prices

dc.contributor.authorMbungu, Nsilulu Tresor
dc.contributor.authorBansal, Ramesh C.
dc.contributor.authorNaidoo, Raj
dc.contributor.authorMiranda, V.
dc.contributor.authorBipath, M.
dc.contributor.emailraj.naidoo@up.ac.zaen_ZA
dc.date.accessioned2018-08-17T06:01:51Z
dc.date.issued2018-08
dc.description.abstractThis paper presents an approach to the energy management and control of the effective cost of energy in real-time electricity pricing environment. The strategy aims to optimise the overall energy flow in the electrical system that minimises the cost of power consumption from the grid. To substantiate these claims different cases of time-of-use (TOU) and renewable energy electricity tariff, i.e. in summer and winter seasons, and the robustness of system is analysed. A given energy demand for commercial usage in the city of Tshwane (South Africa) is used to investigate the behaviour of the designed method during low and high demand periods. As grid integrated renewable energy resources, photovoltaic (PV) is an important consideration in assuring excellent power supply and environmental issues in the commercial building. An adaptive optimal approach in the framework of model predictive control (MPC) is designed to coordinate the energy flow on the electrical system. The results show that the proposed adaptive MPC strategy can promote the new approach of an optimal electrical system design, which reduces the energy cost to pay the utility grid by about 46% or more depending on the set target.en_ZA
dc.description.departmentElectrical, Electronic and Computer Engineeringen_ZA
dc.description.embargo2019-08-01
dc.description.librarianhj2018en_ZA
dc.description.urihttp://www.elsevier.com/locate/scsen_ZA
dc.identifier.citationMbungu, N.T., Bansal, R.C., Naidoo, R. et al 2018, 'An optimal energy management system for a commercial building with renewable energy generation under real-time electricity prices', Sustainable Cities and Society, vol. 41, pp. 392-404.en_ZA
dc.identifier.issn2210-6707 (online)
dc.identifier.other10.1016/j.scs.2018.05.049
dc.identifier.urihttp://hdl.handle.net/2263/66181
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 Sustainable Cities and Society. 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 Sustainable Cities and Society, vol. 41, pp. 392-404, 2018. doi : 10.1016/j.scs.2018.05.049.en_ZA
dc.subjectTime-of-use (TOU)en_ZA
dc.subjectPhotovoltaic (PV)en_ZA
dc.subjectModel predictive control (MPC)en_ZA
dc.subjectBattery banken_ZA
dc.subjectEnergy managementen_ZA
dc.subjectSmart griden_ZA
dc.subjectHouseholdsen_ZA
dc.subjectPerformanceen_ZA
dc.subjectOperationen_ZA
dc.subjectIntegrationen_ZA
dc.subjectOptimizationen_ZA
dc.subjectStorage systemen_ZA
dc.subjectDemand responseen_ZA
dc.subjectModel predictive controlen_ZA
dc.subjectControl strategyen_ZA
dc.titleAn optimal energy management system for a commercial building with renewable energy generation under real-time electricity pricesen_ZA
dc.typePostprint Articleen_ZA

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