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Research Publications (Engineering and Built Environment)

Permanent URI for this collectionhttp://ir-dev.dut.ac.za/handle/10321/215

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Subject: search.filters.subject.Demand side management

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    A survey of home energy management systems and their efficacy in South Africa
    (IEEE, 2024-03-07) Madushele, Nkosinathi; Tabakov, Pavel
    In 2022, South Africa experienced a total of 3776 hours of power outages, commonly known as load shedding. This had a significant economic impact, with estimates from the South African Reserve Bank suggesting a Gross Domestic Product (GDP) loss ranging from 0.7% to 3.2%. To address this issue, various initiatives are currently being implemented, including the implementation of renewable energy projects, effective maintenance of existing infrastructure, and a proposal to introduce smart meters to address challenges related to demand-side management (DSM). The electricity market in South Africa is transforming, and this is leading to the emergence of potential technologies that can help address the aforementioned challenges. One such technology is the Home Energy Management System (HEMS). This paper surveys this technology and assesses its potential effectiveness in the South African context.
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    On demand and supply management in domestic microgrids
    (Turkish Online Journal of Qualitative Inquiry (TOJQI), 2021-12-01) Chidzonga, Richard; Nleya, Bakhe; NLEYA
    Standalone or residential microgrids (MG) are becoming increasingly common. Their success is premised on optimal operational strategies like demand side management (DSM). It is not uncommon in optimization problems to deal with competing objectives in the context of multi-objective optimization. In a domestic MG, optimization objectives may encompass minimization of OPEX, maximization of consumers’ utility, and minimization of CO2 emissions etc. This article employs a technique which transforms a bi-objective energy optimization problem into a single objective problem, then solving the problem using the heuristic technique of binary particle swarm optimization (B PSO). The random phenomena associated with the statistical load profiles and multiple renewable energy sources (RESs) are modelled using established statistical approaches. Results obtained using simulation show that the pro-posed model can minimize the OPEX of isolated MG whilst simultaneously meeting the utility expectations of the consumer.