Mathematical modelling for the social impact to energy efficiency savings

Show simple item record Ekpenyong, Uduakobong Edet Zhang, Jiangfeng Xia, Xiaohua 2015-08-31T05:54:49Z 2015-08-31T05:54:49Z 2014-12
dc.description.abstract In 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.embargo 2015-12-31 en_ZA
dc.description.librarian hb2015 en_ZA
dc.description.uri en_ZA
dc.identifier.citation Ekpenyong, 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.issn 0378-7788 (print)
dc.identifier.issn 1872-6178 (online)
dc.identifier.other 10.1016/j.enbuild.2014.08.019
dc.language.iso en en_ZA
dc.publisher Elsevier en_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.subject Energy consumption en_ZA
dc.subject Energy efficiency en_ZA
dc.subject Information transfer en_ZA
dc.subject Influence en_ZA
dc.subject Probability en_ZA
dc.subject Social impact en_ZA
dc.subject Social network en_ZA
dc.subject Solar waterheaters en_ZA
dc.title Mathematical modelling for the social impact to energy efficiency savings en_ZA
dc.type Postprint Article en_ZA

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