Impact analysis of individual and network factors to household energy savings
Du, Feng and Yue, Hong; Ishii, Hideaki and Ebihara, Yoshio and Imura, Jun-ichi and Yamakita, Masaki, eds. (2023) Impact analysis of individual and network factors to household energy savings. In: 22nd IFAC World Congress. IFAC-PapersOnLine, 56-2 . International Federation of Automatic Control (IFAC), JPN, pp. 7084-7089. (https://doi.org/10.1016/j.ifacol.2023.10.573)
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Abstract
Reducing energy consumption in residential use sector can largely improve energy savings especially in this post pandemic era when working from home becomes a favoured option for many people. Each home's energy consumption pattern depends on individual user factors and is also influenced by the networks. In this work, four factors that may affect user's adoption decision of energy Efficient products are investigated including the personal acceptance level, the influence from the connected neighbours, the overall network adoption rate, and the advertisement influence. The personal acceptance level is further modelled taking account of individual factors on household income, family status, age group and employment status. To enable quantitative analysis, a dynamic network model is established in which each household is taken as a node, and a utility measure is defined for decision making that integrates multiple impact factors described by subsystem models. The relative contribution of each factor towards user's decision making is evaluated by its associated weighting. Two population networks are studied, starting from a small network with 40 homes, followed by a large one with one million nodes. Simulation results from both population networks reveal that, among the four factors considered, the overall network adoption rate is most influential to user's decision on adopting energy Efficient products.
ORCID iDs
Du, Feng ORCID: https://orcid.org/0000-0002-5845-5951 and Yue, Hong ORCID: https://orcid.org/0000-0003-2072-6223; Ishii, Hideaki, Ebihara, Yoshio, Imura, Jun-ichi and Yamakita, Masaki-
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Item type: Book Section ID code: 87463 Dates: DateEvent22 November 2023Published12 June 2022Accepted3 January 2022SubmittedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering
Technology > Engineering (General). Civil engineering (General) > Environmental engineeringDepartment: Faculty of Engineering > Electronic and Electrical Engineering Depositing user: Pure Administrator Date deposited: 30 Nov 2023 10:21 Last modified: 20 Nov 2024 12:53 URI: https://strathprints.strath.ac.uk/id/eprint/87463