Al-Daileh, Ahmed (2021) Integrated scalable system for smart energy management. (PhD thesis), Kingston University, .
Abstract
The planet's reserves are encountering vital challenges and suffer inequitable consumption. The outcomes of the prostration of natural reserves have started affecting every single organism on the globe. Energy is a critical key factor in this aspect because a considerable part of the destruction is triggered by utilising the planet reserves to produce power in diverse forms. The increasing environmental awareness in humans' minds, and the rapid development of smart concepts, home automation technologies in both hardware and software fields, played an essential role in speeding up the progress to apply smart energy management which is needed to revert the situation to its appropriate track by focusing on two main divisions: firstly, producing clean and renewable energy and secondly, reducing the loss of the total generated energy. This research will concentrate on the second approach by proposing, implementing and evaluating a contemporary integrated, scalable, smart energy management framework that assists in reducing the energy consumption in the household sector, covering a range of single households till huge communities and big organisations with thousands of appliances. A number of correspondent strategies and policies which utilise a set of observed and predicted system entities are applied to keep meetings the most relevant quality attributes such as integrability, scalability, interoperability and availability. IoT concepts are applied in this context to connect conventional household appliances to a farm of microservices that implement predictive analytics techniques to reduce energy consumption by applying two main strategies; appliance substitution based on the energy consumption and creating automatic schedules to run appliances based on predictions. A case study is presented on two sample appliances within the household to illustrate the framework validity and deliver percentage figures of the saved energy. Additionally, the framework offers a number of possibilities to provide relevant third parties such as local energy providers, apparatuses' manufacturers, or pertinent government offices with various appliances’ operational behaviours under real-life conditions.
Actions (Repository Editors)
 |
Item Control Page |