How information propagation in social networks can improve energy savings based on time of use tariff

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dc.contributor.author Ekpenyong, Uduakobong Edet
dc.contributor.author Zhang, Jiangfeng
dc.contributor.author Xia, Xiaohua
dc.date.accessioned 2015-11-26T09:19:35Z
dc.date.issued 2015-12
dc.description.abstract The expected savings from energy efficiency projects are divided into two, direct savings and indirect savings. Direct savings refer to savings obtained through the personal effort of an individual implemen-ting some energy efficiency measures. Indirect savings are achieved through information transmission of energy efficiency measures from an individual to his/her neighbours. In this paper information trans-mission is seen as human contribution for energy savings through interactions within the social network. This paper formulates a mathematical model that calculates an expected energy cost savings model that consists of direct and indirect savings. Indirect savings are made through social interactions of people in a network over time. Direct savings calculations are based on the Homeflex time of use tariff of South Africa. A case study of thirty-six households is used to illustrate the impact individuals have on the rest of their network in transferring information about the energy efficiency measures they have implemented. The results show that social interactions can improve energy efficiency savings and consequently reduce electricity cost. en_ZA
dc.description.embargo 2016-12-31
dc.description.librarian hb2015 en_ZA
dc.description.sponsorship National Hub for the post-graduate programme in Energy Efficiency and Demand Side Management at the University of Pretoria, South Africa. en_ZA
dc.description.uri http://www.elsevier.com/locate/scs en_ZA
dc.identifier.citation Ekpenyong, UE, Zhang, J & Xia, X 2015, 'How information propagation in social networks can improve energy savings based on time of use tariff', Sustainable Cities and Society, vol. 19, pp. 26-33. en_ZA
dc.identifier.issn 2210-6707
dc.identifier.issn 10.1016/j.scs.2015.07.005
dc.identifier.other 10.1016/j.scs.2015.07.005
dc.identifier.uri http://hdl.handle.net/2263/50934
dc.language.iso en en_ZA
dc.publisher Elsevier en_ZA
dc.rights © 2015 Elsevier Ltd. All rights reserved. Notice : this is the author’s version of a work that was accepted for publication in Sustainable Cities and Society. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Sustainable Cities and Society, vol. 19, pp. 26-33, 2015. doi : 10.1016/j.scs.2015.07.005. en_ZA
dc.subject Energy efficiency en_ZA
dc.subject Information entropy en_ZA
dc.subject Information distribution en_ZA
dc.subject Probability en_ZA
dc.subject Social network en_ZA
dc.subject Time of use tariff en_ZA
dc.title How information propagation in social networks can improve energy savings based on time of use tariff en_ZA
dc.type Postprint Article en_ZA


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