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

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

Authors

Chukwuka Monyei Chukwuka.Monyei@uwe.ac.uk
Research Fellow - Demand Side Energy Management & Big Data Analytics

Aderemi O. Adewumi

Daniel Akinyele

Olubayo M. Babatunde

Michael O. Obolo

Joshua C. Onunwor



Abstract

© 2018 Elsevier Ltd 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.

Journal Article Type Article
Publication Date May 1, 2018
Journal Energy
Print ISSN 0360-5442
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 150
Pages 822-838
APA6 Citation Monyei, C. G., Monyei, C., Adewumi, A. O., Akinyele, D., Babatunde, O. M., Obolo, M. O., & Onunwor, J. C. (2018). A biased load manager home energy management system for low-cost residential building low-income occupants. Energy, 150, 822-838. https://doi.org/10.1016/j.energy.2018.03.016
DOI https://doi.org/10.1016/j.energy.2018.03.016
Keywords low-cost residential buildings, BLM-HEMS, hopping algorithm, consumer comfort, return on investment, carbon footprint
Publisher URL http://dx.doi.org/10.1016/j.energy.2018.03.016

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