We are excited to announce that the repository will soon undergo an upgrade, featuring a new look and feel along with several enhanced features to improve your experience. Please be on the lookout for further updates and announcements regarding the launch date. We appreciate your support and look forward to unveiling the improved platform soon.
dc.contributor.advisor | Xia, Xiaohua | en |
dc.contributor.postgraduate | Ekpenyong, Uduakobong Edet | en |
dc.date.accessioned | 2016-07-29T11:01:49Z | |
dc.date.available | 2016-07-29T11:01:49Z | |
dc.date.created | 2016-04-15 | en |
dc.date.issued | 2015 | en |
dc.description | Thesis (PhD)--University of Pretoria, 2015. | en |
dc.description.abstract | There are many reasons why energy efficiency projects are carried out; to reduce electricity and water usage, cut greenhouse gas emissions and to promote the conservation of biodiversity. A common factor is that humans are the ones that make a major contribution towards achieving goals set for energy efficiency projects. As such, humans should be targeted when campaigning for a change of any policy concerning energy efficiency. It is often assumed that the "end use" technology is what achieves energy efficiency. This is not true; people and "use of the technology" consume energy and therefore determine the viability of the energy efficiency of the project. In most researches, the human aspect is not taken into consideration and the behaviour of people is assumed to be generic towards thinking of energy efficiency projects. Generalising how energy efficiency projects affect the entire population is a mistake and as such, the actual targets of the projects may be missed. Studying the social structures of society will reveal the actual impact each individual has on his/her society when an energy efficiency project is carried out. It is therefore important to determine the expected energy savings by dividing the savings into two categories; direct and indirect savings. Mathematical models to determine the impact each individual has on his/her neighbours within a social network are formulated. The models are derived from the study of energy, information theory and social networks. From these models, the expected energy saved indirectly through information propagation of the energy efficiency project is determined. The advantages of this research can be extended to the identification of potential customers in residential mass roll-out programs and the adoption of demand response programs. | en |
dc.description.availability | Unrestricted | en |
dc.description.degree | PhD | en |
dc.description.department | Electrical, Electronic and Computer Engineering | en |
dc.description.librarian | tm2016 | en |
dc.identifier.citation | Ekpenyong, UE 2015, The impact of social networks on energy efficiency projects : the information propagation approach, PhD Thesis, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/56074> | en |
dc.identifier.other | A2016 | en |
dc.identifier.uri | http://hdl.handle.net/2263/56074 | |
dc.language.iso | en | en |
dc.publisher | University of Pretoria | en_ZA |
dc.rights | © 2016 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. | |
dc.subject | UCTD | en |
dc.title | The impact of social networks on energy efficiency projects : the information propagation approach | en |
dc.type | Thesis | en |