An interdisciplinary model for behaviour in residential buildings: Bridging social sciences and engineering approaches

IF 6.9 2区 经济学 Q1 ENVIRONMENTAL STUDIES Energy Research & Social Science Pub Date : 2024-08-31 DOI:10.1016/j.erss.2024.103746
Olivia Guerra-Santin , Luyi Xu , Stella Boess
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Abstract

In this paper, we develop a comprehensive behaviour model for residential buildings that considers the diversity among households. While existing behavioural theories from social and psychological sciences have been used in building research, they often lack technical detail, contextual aspects, and focus primarily on behavioural change. The authors propose an interdisciplinary theoretical model that integrates insights from behavioural science and engineering dimensions. This model aims to link measurable drivers directly to energy outcomes, consider building-related contexts, and reflect the complexity of high-performance buildings.

The research consisted of the quantitative analysis of building monitoring data and the analysis of interviews using thematic analysis. The mix-methods approach allowed to obtain new insights into the relationship between the aspects that affect occupants' behaviour. An interdisciplinary model is developed based on the results from the analysis, existing theoretical models used in building research, and previous studies on occupants' behaviour. The model is intended to support the identification of occupants' behaviour drivers, inform user-centric and energy-efficient building design, enhance decision-making for building monitoring and simulations, and aid in various practical applications such as performance assessment and energy contracting.

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住宅楼内行为的跨学科模型:连接社会科学与工程学方法
在本文中,我们为住宅建筑开发了一个综合行为模型,该模型考虑了住户之间的多样性。虽然现有的社会科学和心理科学行为理论已被用于建筑研究,但它们往往缺乏技术细节和环境方面的内容,而且主要侧重于行为变化。作者提出了一个跨学科的理论模型,将行为科学和工程学的观点融为一体。该模型旨在将可测量的驱动因素与能源结果直接联系起来,考虑与建筑相关的背景,并反映高性能建筑的复杂性。研究包括对建筑监测数据进行定量分析,以及使用主题分析法对访谈进行分析。研究包括对建筑监测数据的定量分析和使用主题分析方法对访谈进行的分析。这种混合方法使我们能够对影响居住者行为的各个方面之间的关系有新的认识。根据分析结果、建筑研究中使用的现有理论模型以及以往对居住者行为的研究,建立了一个跨学科模型。该模型旨在支持对居住者行为驱动因素的识别,为以用户为中心的节能建筑设计提供信息,加强建筑监控和模拟的决策制定,并为各种实际应用(如性能评估和能源合同)提供帮助。
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来源期刊
Energy Research & Social Science
Energy Research & Social Science ENVIRONMENTAL STUDIES-
CiteScore
14.00
自引率
16.40%
发文量
441
审稿时长
55 days
期刊介绍: Energy Research & Social Science (ERSS) is a peer-reviewed international journal that publishes original research and review articles examining the relationship between energy systems and society. ERSS covers a range of topics revolving around the intersection of energy technologies, fuels, and resources on one side and social processes and influences - including communities of energy users, people affected by energy production, social institutions, customs, traditions, behaviors, and policies - on the other. Put another way, ERSS investigates the social system surrounding energy technology and hardware. ERSS is relevant for energy practitioners, researchers interested in the social aspects of energy production or use, and policymakers. Energy Research & Social Science (ERSS) provides an interdisciplinary forum to discuss how social and technical issues related to energy production and consumption interact. Energy production, distribution, and consumption all have both technical and human components, and the latter involves the human causes and consequences of energy-related activities and processes as well as social structures that shape how people interact with energy systems. Energy analysis, therefore, needs to look beyond the dimensions of technology and economics to include these social and human elements.
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