An Occupant-Based Energy Consumption Model for User-Focused Design of Residential Buildings

Zaraket, Toufic; Yannou, Bernard; Leroy, Yann; Minel, Stéphanie; Chapotot, Emilie

doi:10.1115/1.4030202

Cited by 13 publications

(6 citation statements)

References 27 publications

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“…The analysis consists of the following major steps: (1) classify customers into clusters based on their profile attributes; (2) construct a product association network that reflects the similarity of products in customers' perceptual space; and (3) predict choice sets for individual customers using a probabilistic sampling approach. Zaraket et al (2015) proposed an activity-based model for forecasting household energy and water consumption and discussed how such an occupant-focused model could integrate a user-focused design for residential buildings. The consumption prediction is closer to reality compared to the standard averaged energy consumption profiles.…”

Section: Confirmation With the Literaturementioning

confidence: 99%

Research perspectives in ecodesign

et al. 2020

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Ecodesign has gained significant traction in recent years ranging from academic research to business applications at a global scale. Initial emphasis on the environmental aspect of design has evolved to include economic and social aspects, with projects ranging from small-scale products to large-scale industrial systems. In this paper, the authors re-analyse 10 of their major ecodesign research projects of the past ten years to identify five categories of challenges and promising future directions for ecodesign research. This paper is primarily a retrospective position paper based on the authors’ experience of actual design studies, providing also a relevant literature review and summary of design practices.

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Section: Confirmation With the Literaturementioning

confidence: 99%

Research perspectives in ecodesign

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“…Occupants perform domestic activities to satisfy their needs and well-being, such as house carrying, preserving and preparing food, supplying heat and light and maintaining health and sanitation [26]. Most of these activities require the usage of certain appliances that consume energy (electricity, gas, fuel) and water.…”

Section: Characterizing Occupant Behaviour With Regard To Energy Consmentioning

confidence: 99%

“…Occupant behaviour is considered as a substantial source of uncertainty in energy modelling since energy use can vary dramatically between different households [23][24][25][26]. Swan and Ugursal [15] reveal that occupant behaviour in residential buildings varies widely and can impact energy consumption by as much as 100% for a given dwelling.…”

Section: Introductionmentioning

confidence: 99%

An activity-based modelling framework for quantifying occupants’ energy consumption in residential buildings

Leroy

Yannou

2018

Computers in Industry

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The residential building is a major energy consumer and pollution source worldwide. The shift towards constructing energy-efficient buildings is impelling higher performance. In sustainable building, occupants become a major source of uncertainty in energy consumption. Yet, energy simulation tools often account for occupant behaviour through predefined fixed consumption profiles. Therefore, energy and buildings experts are in need for more precise methods for better forecasting the influence of occupants on the building performance. An activity-based framework for quantifying occupant-related energy consumption is proposed. The energy consumption is quantified per domestic activity as a function of households' socio-demographic and economic attributes. The aggregation of such domestic activity energy consumption provides an accurate estimation of the household energy consumption per daily, monthly and annually periods. First, a literature review about residential energy consumption and the existing modelling approaches is presented. Second, a systematic breakdown structure of energy end-uses is proposed. The activity-based framework is then introduced. An application example is demonstrated together with simulation results. Finally, model's utility is outlined and its possible implications are discussed.The residential sector consumes secondary energy, i.e. electricity and hydrogen produced from primary energy sources such as coal, natural gas, petroleum, nuclear energy and renewable energy sources, which is used by occupants for performing their domestic activities. Several studies pointed out the major end-use groups of secondary energy such as space heating, space cooling, domestic hot water, as well as appliances and lighting [14][15][16][17]. Building's energy consumption is highly dependent on the performance of its systems and the general behaviour of the occupants [18]. According to Robinson [19], the most complex processes taking place within buildings are those that result from human behaviour. Authors such as Emery and Kippenhan [20], Masoso and Grobler (2010), and Guerra-Santin and Itard [21] also reveal occupants' influence on residential energy consumption. Authors such as Page et al. [22], Robinson [19] and Wilke et al. [18] show that the influence of occupants can be modelled by their presence, the actions they perform (activities such as cooking, using light, etc.), as well as their interactions with the controls of inherent building systems designed for adjusting the indoor environment (e.g., lighting and HVAC).

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“…Sanquist and colleagues () suggested that users’ lifestyle profile may correlate to their PC usage. Zaraket and colleagues () proposed an activity‐based model to forecast the heterogeneous energy consumption of households. The data from the U.S. Energy Information Administration (EIA) demonstrate a great variability in the usage and the power management behavior of PC users in the United States (Croucher ; US EIA ).…”

Section: Literature Reviewmentioning

confidence: 99%

Environmental Impact Assessment of the Heterogeneity in Consumers’ Usage Behavior: An Agent‐Based Modeling Approach

Mashhadi

Behdad

2017

J of Industrial Ecology

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The aim of this study is to develop a framework for understanding the heterogeneity and uncertainties present in the usage phase of the product life cycle through utilizing the capabilities of an agent-based modeling (ABM) technique. An ABM framework is presented to model consumers' daily product usage decisions and to assess the corresponding electricity consumption patterns. The theory of planned behavior (TPB), with the addition of the habit construct, is used to model agents' decision-making criteria. A case study is presented on the power management behavior of personal computer users and the possible benefits of using smart metering and feedback systems. The results of the simulation demonstrate that the utilization of smart metering and feedback systems can promote the energy conservation behaviors and reduce the total PC electricity consumption of households by 20%. Keywords:agent-based modeling consumer behavior energy consumption industrial ecology life cycle assessment Smart metering and feedback systems Supporting information is linked to this article on the JIE website Conflict of interest statement: The authors have no conflict to declare.

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An Occupant-Based Energy Consumption Model for User-Focused Design of Residential Buildings

Cited by 13 publications

References 27 publications

Research perspectives in ecodesign

Research perspectives in ecodesign

An activity-based modelling framework for quantifying occupants’ energy consumption in residential buildings

Environmental Impact Assessment of the Heterogeneity in Consumers’ Usage Behavior: An Agent‐Based Modeling Approach

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