Tailoring domestic retrofit by incorporating occupant behaviour

Ben, Hui; Steemers, Koen

doi:10.1016/j.egypro.2017.07.421

Cited by 12 publications

(6 citation statements)

References 18 publications

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“…25 impacted by occupancy-related internal load schedules. However, unlike this case study, Ben and Steemers (2017) concluded that the optimal ranking of energy efficiency measures varied across five behavioural patterns. The difference might be because the household energy-use behaviour considered in this study is limited to adjusting the simulation assumptions of internal load schedules, but not considering the actual temperature setting for each single room of each household.…”

Section: A C C E P T E D Accepted Manuscriptcontrasting

confidence: 68%

“…The following five retrofit options are considered for analysis: (A) added wall insulation, (B) added roof insulation, (C) infiltration treatment, (D) energy-efficient light, and (E) window replacement. These five retrofit measures were selected on the basis of recent papers on the retrofit analysis of British houses (Ben and Steemers, 2017;Booth and Choudhary, 2013).…”

Section: A C C E P T E D Accepted Manuscriptmentioning

confidence: 99%

“…This section investigates the effect of thermal zoning and internal load scheduling on retrofit decisions. Table 4 presents five retrofit options considered for the case building: houses (Ben and Steemers 2017;Booth and Choudhary 2013;Hall et al 2013). First, we evaluated the effect of different thermal zoning strategies on predicting relative percentage energy saving estimates of retrofit options and resulting retrofit decisions.…”

Section: Retrofit Analysismentioning

confidence: 99%

See 2 more Smart Citations

Investigating an adequate level of modelling for retrofit decision-making: A case study of a British semi-detached house

Ren

Heo

Sunikka-Blank

2019

Journal of Building Engineering

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This paper investigates what level of modelling (zoning or internal load scheduling) is required to support heating related retrofit decision-making. First, this paper tests the effect of thermal zoning by incrementally reducing the number of thermal zones from modelling every room as a separate zone to modelling the house as a single zone. Second, this paper examines the influence of internal load schedules (occupancy, lighting and equipment schedules) on prediction accuracy. Actual internal load schedules were derived from the smart meter data of 666 households collected by the Customer-Led Network Revolution project. Cluster analysis was applied to extract a set of prototypical schedules to capture major variations across all households. Last, this paper evaluates the effects of the zoning and internal load scheduling modelling assumptions in the context of thermal retrofit decision-making.For the specific parameters studied and the specific building design, the use of different zoning strategies and different internal load schedules yielded the same ranking of top retrofit options. For the specific climate and the baseline assumptions for the retrofits, different cluster schedules resulted in different magnitudes of energy savings, but the ranking of top retrofit options was not impacted by the choice of household internal load schedules.However, the actual internal load schedules affected the energy-saving potentials achievable by the same set of retrofit options. The case study highlights that the optimal set of retrofit options selected given the specific physical characteristics of a house is the same regardless of differences in the input of internal load schedules. However, it was found that energy-

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Section: A C C E P T E D Accepted Manuscriptcontrasting

confidence: 68%

Section: A C C E P T E D Accepted Manuscriptmentioning

confidence: 99%

Section: Retrofit Analysismentioning

confidence: 99%

See 1 more Smart Citation

Investigating an adequate level of modelling for retrofit decision-making: A case study of a British semi-detached house

Ren

Heo

Sunikka-Blank

2019

Journal of Building Engineering

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“…The aim is to explore feasible occupancy and energy consumption profiles to be applied to the building simulation model that will help explore energy-efficient and cost-effective retrofit strategies for this particular building and similar prototypes in the second phase of the study. Considering realistic and dominant occupancy and energy use patterns in building energy simulation analysis may yield reliable outputs for retrofit interventions [32] and may help reduce the gap between the predicted and the actual building energy performance [33].…”

Section: Accepted Manuscriptmentioning

confidence: 99%

Towards energy-efficient retrofit of council housing in London: Assessing the impact of occupancy and energy-use patterns on building performance

Zahiri

Elsharkawy

2018

Energy and Buildings

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This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. Highlights  Evaluating council housing building performance and occupants' energy use behaviour  Effects of occupants' energy use behaviour on building's energy efficiency  The impact of indoor environmental conditions on thermal comfort and energy use  Importance of energy and occupancy patterns in feasible energy use predictions  Tackling the fuel poverty by the energy efficient retrofit of the social housing

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“…[74][75][76][77][78]. Renovated buildings should also ensure good energy performance [79][80][81][82]. The building performance levels are very important in adopting sustainable and savings-oriented behaviors.…”

Section: Questionnaire Structure and Content Designmentioning

confidence: 99%

Energy Transition at Home: A Survey on the Data and Practices That Lead to a Change in Household Energy Behavior

et al. 2021

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Since energy transition depends significantly on reducing the built environment’s energy needs, many regulations and incentives have been implemented globally over the last three decades. Despite some positive results, many scholars suggest that households’ behavioral change could greatly accelerate progress. People’s levels of awareness and willingness to change, as well as the provision of feedback technologies, are important factors affecting the process. In spite of the extent of this body of literature, household consumption keeps rising. Our thesis is that the subject has been investigated without considering some important correlations among factors. Therefore, this study developed a survey to investigate actual consumers’ perspectives on the topic by combining people’s awareness of energy use, interaction with metering devices, and user motivation into a coherent framework. A testing session involving 500 people was held as a validation phase for a future large-scale launch of the questionnaire. The test yielded some early outcomes on how people become more interested in changing as they gain more knowledge and are offered suggestions. However, despite their supposedly advanced knowledge as educators and students, the sample’s level of awareness was low, suggesting that a more user-centered approach is needed for wide-scale progress.

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Tailoring domestic retrofit by incorporating occupant behaviour

Cited by 12 publications

References 18 publications

Investigating an adequate level of modelling for retrofit decision-making: A case study of a British semi-detached house

Investigating an adequate level of modelling for retrofit decision-making: A case study of a British semi-detached house

Towards energy-efficient retrofit of council housing in London: Assessing the impact of occupancy and energy-use patterns on building performance

Energy Transition at Home: A Survey on the Data and Practices That Lead to a Change in Household Energy Behavior

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