A Stochastic Activity-Based Approach for Forecasting Occupant-Related Energy Consumption in Residential Buildings

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

doi:10.1115/detc2014-35528

Cited by 4 publications

(6 citation statements)

References 25 publications

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“…In particular, energy consumption of washing machines in different countries has been reported in a number of studies such as AISE (2013), Koerner et al (2011), Laitala et al (2011), Lin and Iyer (2007, Market Transformation Programme (2010), Masanet (2010), Novem (2001), Pakula and Stamminger (2015), Presutto et al (2007), Yao and Steemers (2005) and Zaraket (2014). Inter-country variability arises from the differences in the GHG footprint of the electricity grid mixes and systematic differences in consumer behaviour in different countries.…”

Section: Responsible Editor: Serenella Salamentioning

confidence: 99%

Quantifying drivers of variability in life cycle greenhouse gas emissions of consumer products—a case study on laundry washing in Europe

Shahmohammadi

Steinmann

Clavreul

et al. 2017

Int J Life Cycle Assess

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Purpose Variability in consumer behaviour can significantly influence the environmental performance of products and their associated impacts and this is typically not quantified in life cycle assessments. The goal of this paper is to demonstrate how consumer behaviour data can be used to understand and quantify the variability in the greenhouse gas emissions from domestic laundry washing across Europe. Methods Data from a pan-European consumer survey of product usage and washing habits was combined with internal company data on product format greenhouse gas (GHG) footprints and in-home measurement of energy consumption of laundry washing as well as literature data to determine the GHG footprint of laundry washing. The variability associated with four laundry detergent product formats and four wash temperature settings in washing machines were quantified on a per wash cycle basis across 23 European countries. The variability in GHG emissions associated with country electricity grid mixes was also taken into account. Monte Carlo methods were used to convert the variability in the input parameters into variability of the life cycle GHG emissions. Rank correlation analysis was used to quantify the importance of the different sources of variability. Results and discussion Both inter-country differences in background electricity mix as well as intra-country variation in consumer behaviour are important for determining the variability in life cycle GHG emissions of laundry detergents. The average GHG emissions related to the laundry washing process in the 23 European countries in 2014 was estimated to be 5 × 10 2 g CO 2 − eq/wash cycle, but varied by a factor of 6.5 between countries. Intra-country variability is between a factor of 3.5 and 5.0 (90% interval). For countries with a mainly fossil-based electricity system, the dominant source of variability in GHG emissions results from consumer choices in the use of washing machines. For countries with a relatively low-carbon electricity mix, variability in life cycle GHG emissions is mainly determined by laundry product-related parameters.Conclusions The combination of rich data sources enabled the quantification of the variability in the life cycle GHG emissions of laundry washing which is driven by a variety of consumer choices, manufacturer choices and infrastructural differences of countries. The improved understanding of the variability needs to be balanced against the cost and challenges of assessing of consumer habits.

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Section: Responsible Editor: Serenella Salamentioning

confidence: 99%

Quantifying drivers of variability in life cycle greenhouse gas emissions of consumer products—a case study on laundry washing in Europe

Shahmohammadi

Steinmann

Clavreul

et al. 2017

Int J Life Cycle Assess

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“…SABEC model is developed in the scope of forecasting occupant-related energy consumption in residential buildings, while accounting for variability in consumption patterns due to heterogeneity in occupants' socio-economic and demographic profiles [19]. The model accounts mainly for energy consumption related to domestic activities such as watching TV, washing dishes, and doing laundry.…”

Section: Recall Of the Sabec Modelmentioning

confidence: 99%

“…Exhaustive inventories of energy-use needs, activities, actions and appliances are established in accordance with existing literature and related theories (e.g. Maslow's pyramid, activity theory) [19]. An Activity-based model entails that energy consumption of a household is estimated by summing up the energy use of different activities performed (such as cooking, washing clothes, etc.).…”

Section: Recall Of the Sabec Modelmentioning

confidence: 99%

“…We highlight here that the technical and computational aspects of t not presented in this paper. For more details, the reader may refer to [19] and [44,45] Figure 1: Architecture of SABEC model…”

Section: Sample Applications Ofmentioning

confidence: 99%

“…Such models should result in more accurate energy estimations, and hence improve building designs and marketing offers. The authors have proposed an activity-based model of residential energy demand (SABEC 1 ) in a doctoral dissertation [19] . The present paper is not intended to detail the model, but it briefly recalls the adopted modeling methodology.…”

Section: Introductionmentioning

confidence: 99%

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

Zaraket

Yannou

Leroy

et al. 2015

Journal of Mechanical Design

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Occupants' behavior exerts a significant influence on the energy performance of residential buildings. Industrial energy simulation tools often account for occupants' as monolithic elements with standard averaged energy consumption profiles. Predictions yielded by these tools can thus deviate dramatically from reality. This paper proposes an activity-based model for forecasting energy and water consumption of households and discusses how such an occupant-focused model may integrate a user-focused design of residential buildings. A literature review is first presented followed by a brief recall of the proposed modeling methodology and a sample of simulation results. The possible integration of the proposed model into the design and energy management processes of residential buildings is then demonstrated through a number of use cases.

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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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A Stochastic Activity-Based Approach for Forecasting Occupant-Related Energy Consumption in Residential Buildings

Cited by 4 publications

References 25 publications

Quantifying drivers of variability in life cycle greenhouse gas emissions of consumer products—a case study on laundry washing in Europe

Quantifying drivers of variability in life cycle greenhouse gas emissions of consumer products—a case study on laundry washing in Europe

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

Research perspectives in ecodesign

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