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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/8945

Title: A low cost early adoption strategy for implementing secured smart energy metering systems in African developing countries
Authors: Keelson, Eliel
Issue Date: 27-Sep-2016
Abstract: Electricity continues to be a great power behind the world’s industrial revolution and an indispensable asset in everyday living. Its significance has necessitated the extensive rollout of electrification projects. Despite these rollouts, the continent of Africa is yet to enjoy reliable supply of electric power and its associated benefits. Due to Africa’s high population growth and economic development, it is ever so plagued with extensive seasons of power shortages – energy crises. The effect of these crises can be clearly seen in Africa’s vicious cycle of poverty. This thesis links the nemesis of these crises to the inability of Africa’s utilities to conduct effective demand analyses on day-to-day consumption of electricity. These analyses are a prerequisite in avoiding unprecedented demand. To mitigate these crises, it suggests the migration from standalone metering systems to smart metering systems. Bearing in mind that this migration has often come at a high expense to developed countries, it proposes a low cost early adoption strategy for implementing secured smart metering systems in African developing countries. A key aspect of this proposition is a secured low cost smart retrofit which furnishes existing standalone meters with smart metering capabilities. It also proposes a security protocol and a datagram format for secured information exchange in the proposed smart metering system. Finally, the proposed system is applied in providing a Smart Quota Policy, which is an effective power rationing alternative to rotational load shedding (blackouts). Keywords: Smart Metering System; Power Crises; African developing countries; Smart Retrofit; Smart Quota System.
Description: Thesis submitted in partial fulfillment for the degree of Doctor of Philosophy in Computer Engineering By Eliel Keelson (BSc.) Supervisors: (1) Prof. K.O. Boateng (2) Prof. Isaac Ghansah March, 2016
URI: http://hdl.handle.net/123456789/8945
Appears in Collections:College of Engineering

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