IoT-based retrofit information diffusion in future smart communities

IF 6.6 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY
Lei Shu , Dong Zhao , Wanni Zhang , Han Li , Tianzhen Hong
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引用次数: 0

Abstract

Community-scale building retrofits are not merely scaled-up versions of single-building retrofits. They involve complex challenges, such as reconciling individual interests with collective goals and managing the dynamic interplay between buildings through mechanisms like power grids and social connections. Internet of Things (IoT) connectivity holds the potential to leverage these interplays to balance individual and collective interests effectively in smart communities. One critical aspect of this interplay is information diffusion, which shapes how retrofit decisions spread among neighbors, influencing individual choices and ultimately impacting community-level retrofit outcomes. In other words, IoT-based smart devices automatically push tailored retrofit notifications to homeowners, which completely changes the format of information diffusion in the future. To investigate this influence by such information diffusion, the study used CityBES to simulate energy performance for different retrofits and applied an information diffusion model to analyze how decisions spread in a networked community of 192 buildings. The diffusion process was modeled on a weighted, directed network, capturing the dynamics of information flow and decision-making across 16 scenarios. Individual retrofit benefits were evaluated through payback years, while community-level retrofit outcomes were assessed using greenhouse gas (GHG) emission reductions. The results demonstrate that easier information diffusion among neighbors encourages households to prioritize retrofit measures that align with the majority’s optimal choices, even at the expense of individual financial benefits. In this case, such collective prioritization enhanced community-level retrofit performance, increasing GHG emission reductions by up to 29.4 %. However, this improvement came with trade-offs, as the average payback period for households extended by approximately 1.74 years. These findings highlight the potential of IoT-based information diffusion in future smart communities to coordinate individual interests with collective goals, ultimately accelerating community-level building retrofits.
基于物联网的未来智慧社区改造信息扩散
社区规模的建筑改造不仅仅是单个建筑改造的放大版本。它们涉及复杂的挑战,例如协调个人利益与集体目标,以及通过电网和社会联系等机制管理建筑物之间的动态相互作用。物联网(IoT)连接具有利用这些相互作用来有效平衡智能社区中个人和集体利益的潜力。这种相互作用的一个关键方面是信息扩散,它决定了改造决策如何在邻居之间传播,影响个人选择并最终影响社区层面的改造结果。换句话说,基于物联网的智能设备会自动向房主推送量身定制的改造通知,这将彻底改变未来信息传播的形式。为了研究这种信息扩散的影响,该研究使用CityBES模拟不同改造的能源性能,并应用信息扩散模型来分析决策如何在192栋建筑的网络社区中传播。扩散过程在一个加权的定向网络上建模,在16个场景中捕捉信息流和决策的动态。通过投资回收期对个人改造效益进行评估,而使用温室气体(GHG)减排对社区层面的改造结果进行评估。结果表明,邻居之间更容易的信息传播鼓励家庭优先考虑符合大多数人最佳选择的改造措施,即使以牺牲个人经济利益为代价。在这种情况下,这种集体优先级提高了社区一级的改造绩效,将温室气体减排提高了29.4%。然而,这种改善是有代价的,因为家庭的平均投资回收期延长了大约1.74年。这些发现突出了未来智慧社区中基于物联网的信息传播的潜力,可以协调个人利益与集体目标,最终加速社区一级的建筑改造。
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来源期刊
Energy and Buildings
Energy and Buildings 工程技术-工程:土木
CiteScore
12.70
自引率
11.90%
发文量
863
审稿时长
38 days
期刊介绍: An international journal devoted to investigations of energy use and efficiency in buildings Energy and Buildings is an international journal publishing articles with explicit links to energy use in buildings. The aim is to present new research results, and new proven practice aimed at reducing the energy needs of a building and improving indoor environment quality.
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