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

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dc.contributor.author Mbungu, Nsilulu Tresor
dc.contributor.author Bansal, Ramesh C.
dc.contributor.author Naidoo, Raj
dc.contributor.author Miranda, V.
dc.contributor.author Bipath, M.
dc.date.accessioned 2018-08-17T06:01:51Z
dc.date.issued 2018-08
dc.description.abstract This 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.department Electrical, Electronic and Computer Engineering en_ZA
dc.description.embargo 2019-08-01
dc.description.librarian hj2018 en_ZA
dc.description.uri http://www.elsevier.com/locate/scs en_ZA
dc.identifier.citation Mbungu, 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.issn 2210-6707 (online)
dc.identifier.other 10.1016/j.scs.2018.05.049
dc.identifier.uri http://hdl.handle.net/2263/66181
dc.language.iso en en_ZA
dc.publisher Elsevier en_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.subject Time-of-use (TOU) en_ZA
dc.subject Photovoltaic (PV) en_ZA
dc.subject Model predictive control (MPC) en_ZA
dc.subject Battery bank en_ZA
dc.subject Energy management en_ZA
dc.subject Smart grid en_ZA
dc.subject Households en_ZA
dc.subject Performance en_ZA
dc.subject Operation en_ZA
dc.subject Integration en_ZA
dc.subject Optimization en_ZA
dc.subject Storage system en_ZA
dc.subject Demand response en_ZA
dc.subject Model predictive control en_ZA
dc.subject Control strategy en_ZA
dc.title An optimal energy management system for a commercial building with renewable energy generation under real-time electricity prices en_ZA
dc.type Postprint Article en_ZA


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