Real-life energy use in the UK: How occupancy and dwelling characteristics affect domestic electricity use

Yohanis, Yigzaw G.; Mondol, Jayanta Deb; Wright, Alan; Norton, Brian

doi:10.1016/j.enbuild.2007.09.001

Cited by 316 publications

(183 citation statements)

References 11 publications

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“…Dwelling characteristics Among different dwelling characteristics, higher electricity consumption at the household level is predominantly related to larger home sizes (floor area) and the dwelling type of a detached house in comparison to apartment buildings (Statistics 2011;Thøgersen & Grønhøj, 2010;Wiesmann et al, 2011;Yohanis et al 2008). At the individual level, Sardianou (2007) identifies a positive effect of ownership and dwelling type (detached house), but no effect of floor area on the number of reported energy-conserving actions.…”

Section: Contextual Factorsmentioning

confidence: 99%

Disentangling household and individual actors in explaining private electricity consumption

Seebauer

Wolf

2016

Energy Efficiency

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Previous research often regard household and individual as synonymous actors, although the overall household electricity consumption is the aggregate of diverging actions by individual household members. We disentangle the impact of actor-specific predictors on household and individual electricity consumption, employing regression models to data of 204 Austrian multi-person households. Predictors add more to the explained variance of household and individual electricity consumption if they are located at the same actor level as the dependent variable. While household electricity consumption is best predicted by the household context and value/knowledge factors, individual electricity consumption depends foremost on habit and whether a person stays at home during the day. The study exemplifies that future research and interventions need to decompose actor levels to better understand and target the drivers of private electricity consumption. Methodological challenges in measuring individual and household consumption behaviour are discussed.

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Section: Contextual Factorsmentioning

confidence: 99%

Disentangling household and individual actors in explaining private electricity consumption

Seebauer

Wolf

2016

Energy Efficiency

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“…Similar to the study conducted by Chen et al [26], the analysis showed that energy consumption increases as the age of the building increases as seen in Table 9. Furthermore, energy usage increases as the net usage area of the residence increases [21,33] as well as the age of the household head increases. In general, there is a positive correlation between the education level of the household and total energy consumption; however, energy consumption reaches to the highest level in its income cluster in the households with illiterate household heads.…”

Section: Factor Affecting Residential Energy Consumption and Related mentioning

confidence: 99%

Determining residential energy consumption-based CO₂ emissions and examining the factors affecting the variation in Ankara, Turkey

et al. 2017

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Abstract. Energy demand of Turkey has been showing a remarkable increase in the last two decades due to rapid increase in population and changes in consumption trends. In parallel to the increase in energy demand, the CO2 emissions in Turkey are also increasing dramatically due to high usage of fossil fuels. CO2 emissions from the residential sector covers almost one fourth of the total sectoral emissions. In this study, CO2 emissions from the residential sector are estimated, and the factors affecting the emission levels are determined for the residential sector in Ankara, Turkey. In this study, detailed surveys are conducted to more than 400 households in Ankara. Using the information gathered from the surveys, the CO2 emissions associated with energy consumption of the households are calculated using the methodology outlined at IPCC. The statistical analyses are carried out using household income, dwelling characteristics, and household economic and demographic data to determine the factors causing the variation in emission levels among the households. The results of the study present that the main factors impacting the amount of total energy consumption and associated CO2 emissions are household income, dwelling construction year, age, education level of the household, and net footage of the dwelling.

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“…Occupancy and occupant behaviour have a large impact on the energy consumption and internal conditions of buildings (Guerra Santin, Itard, & Visscher, 2009;Yohanis, Mondol, Wright, & Norton, 2008). Including these aspects would improve our understanding of adaptive behaviours resulting from the energy-efficiency investments.…”

Section: Discussionmentioning

confidence: 99%

Impacts of energy-efficiency investments on internal conditions in low-income households

Poortinga

Jiang

Grey

et al. 2017

Building Research & Information

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Living in cold conditions poses a risk to health, in particular to low-income, fuel-poor households. Improving the energy efficiency of the housing stock may bring multiple positive health gains through improved indoor temperatures and reduced fuel consumption. This study used a multilevel interrupted time-series approach to evaluate a policy-led energy-performance investment programme. Long-term monitoring data were collected for intervention and control households at baseline (n = 99) and follow-up (n = 88), creating a dataset with 15,771 data points for a series of daily-averaged hydrothermal outcome variables. The study found that the intervention raised indoor air temperature by on average 0.84 K as compared with control households, thereby bringing the majority of indoor temperature measurements within the 'healthy' comfort zone of 18-24°C, while average daily gas usage dropped by 37%. External wall insulation was the most effective measure to increase indoor air temperature. The greatest increases were found in the evening and at night, in the bedroom, and in British steel-framed buildings. No evidence was found that the intervention substantially increased indoor relative humidity levels when accompanied by mechanical ventilation. The study concludes that the multilevel interrupted time-series approach offers a useful model for evaluating housing improvement programmes.

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Real-life energy use in the UK: How occupancy and dwelling characteristics affect domestic electricity use

Cited by 316 publications

References 11 publications

Disentangling household and individual actors in explaining private electricity consumption

Disentangling household and individual actors in explaining private electricity consumption

Determining residential energy consumption-based CO₂ emissions and examining the factors affecting the variation in Ankara, Turkey

Impacts of energy-efficiency investments on internal conditions in low-income households

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Real-life energy use in the UK: How occupancy and dwelling characteristics affect domestic electricity use

Cited by 316 publications

References 11 publications

Disentangling household and individual actors in explaining private electricity consumption

Disentangling household and individual actors in explaining private electricity consumption

Determining residential energy consumption-based CO2 emissions and examining the factors affecting the variation in Ankara, Turkey

Impacts of energy-efficiency investments on internal conditions in low-income households

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Product

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Determining residential energy consumption-based CO₂ emissions and examining the factors affecting the variation in Ankara, Turkey