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A biased load manager home energy management system for low-cost residential building low-income occupants

Monyei, Chukwuka G., Adewumi, Aderemi O., Akinyele, Daniel, Babatunde, Olubayo M., Obolo, Michael O., Onunwor, Joshua C.
Energy 2018 v.150 pp. 822-838
algorithms, batteries, carbon, computer software, developing countries, electricity costs, emissions, energy, income, prioritization, residential housing, solar collectors, solar radiation
This research paper presents the development of a biased load manager home energy management system for low-cost residential building occupants. As a smart grid framework, the proposed load manager coordinates the operation of the inverter system of a low cost residential apartment consisting of rooftop solar photovoltaic panels, converter and battery, and provides a platform for discriminating residential loads into on-grid and off-grid supply classes while maximizing solar irradiance for optimum battery charging and improving consumer comfort from base levels. Modelled in a Matlab simulation environment, the system incorporates a converter system for maximum power point tracking using a hopping algorithm, with a dedicated mechanism for smart dispatch of specified loads to meet the users' comfort based on the priority ranking of the loads. Results obtained indicate a 34% reduction in electricity cost, 26% reduction in carbon emissions and a 4% increase in comfort level for the photovoltaic/battery/utility option compared to the utility only option. The results further show that cost is a major factor affecting the users' comfort and not necessarily dispatch of appliances to meet energy needs. The research can be useful for encouraging the adoption of the photovoltaic/battery/utility option by low/middle income energy users in developing countries.