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

Chukwuka G. Monyei, Aderemi O. Adewumi, Daniel Akinyele, Olubayo M. Babatunde, Michael O. Obolo and Joshua C. Onunwor

Energy, 2018, vol. 150, issue C, 822-838

Abstract: 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.

Keywords: Low-cost residential buildings; BLM-HEMS; Hopping algorithm; Consumer comfort; Return on investment; Carbon footprint (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:150:y:2018:i:c:p:822-838

DOI: 10.1016/j.energy.2018.03.016

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