Mathematical modelling for the social impact to energy efficiency savings

dc.contributor.authorEkpenyong, Uduakobong Edet
dc.contributor.authorZhang, Jiangfeng
dc.contributor.authorXia, Xiaohua
dc.contributor.emailuduak.ekpenyong@up.ac.zaen_ZA
dc.date.accessioned2015-08-31T05:54:49Z
dc.date.available2015-08-31T05:54:49Z
dc.date.issued2014-12
dc.description.abstractIn this paper, a mathematical model is formulated to quantify the social im- pact an individual has on his/her community when he/she performs any energy e ciency project and transmits that information to his/her neighbours. This model is called the expected power savings model; it combines direct and indi- rect expected power savings of the energy e ciency project for each individual within the network. The indirect savings are quanti ed through the social in- teractions people in the network. The example used in this paper illustrates the e ectiveness of the model by identifying the households who should have free solar water heaters installed in their residential houses based on their in uence through interactions in their community. Two case studies are considered in this paper, single and multiple sources case studies. In the multiple source case study, the results show that it is not necessarily the people with the highest connections who provide the maximum expected power savings.en_ZA
dc.description.embargo2015-12-31en_ZA
dc.description.librarianhb2015en_ZA
dc.description.urihttp://www.elsevier.com/locate/enbuilden_ZA
dc.identifier.citationEkpenyong, UE, Zhang, J & Xia, X 2014, 'Mathematical modelling for the social impact to energy efficiency savings', Energy and Buildings, vol. 84, pp. 344-351.en_ZA
dc.identifier.issn0378-7788 (print)
dc.identifier.issn1872-6178 (online)
dc.identifier.other10.1016/j.enbuild.2014.08.019
dc.identifier.urihttp://hdl.handle.net/2263/49658
dc.language.isoenen_ZA
dc.publisherElsevieren_ZA
dc.rights© 2014 Elsevier B.V. All rights reserved. Notice : this is the author’s version of a work that was accepted for publication in Energy and Buildings. 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 Energy and Buildings, vol. 84, pp. 344-351, 2014. doi : 10.1016/j.enbuild.2014.08.019.en_ZA
dc.subjectEnergy consumptionen_ZA
dc.subjectEnergy efficiencyen_ZA
dc.subjectInformation transferen_ZA
dc.subjectInfluenceen_ZA
dc.subjectProbabilityen_ZA
dc.subjectSocial impacten_ZA
dc.subjectSocial networken_ZA
dc.subjectSolar waterheatersen_ZA
dc.titleMathematical modelling for the social impact to energy efficiency savingsen_ZA
dc.typePostprint Articleen_ZA

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