Energy consumption in UK households: Impact of domestic electrical appliances

Mansouri, Iman; Newborough, M.; Probert, Douglas

doi:10.1016/0306-2619(96)00001-3

Cited by 133 publications

(61 citation statements)

References 12 publications

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“…Between 1973 and 1991 the level of ownership for household utility or kitchen appliances such as washingmachines increased by 22% (from 67% to 89%), dishwasher ownership increased by 12% (owned by 1 % and 13% of households in 1973 and 1990, respectively), while the increase of freezer ownership is remarkable (from 3% in 1973 to 38% in 1991, respectively) [63]. Higher levels of appliance ownership and use in households have resulted in a doubling of electricity consumption in the UK between 1972 and 2002, from 44 TW h to 89 TW h per annum [64].…”

Section: Appliance Ownership and Usementioning

confidence: 99%

“…With respect to 'entertainment' appliances, the ownership of colour-television sets increased from 49% in 1976 to an average of 1.6 sets per household in 1994 [63], and 2.4 TVs respectively in 2004 [51]. By 2004, the electronic sector, including televisions, video recorders, and external power supply units (digital TV adapters), accounted for 17.3 TW h, which is equivalent to more than 16% of the total electricity consumed in the residential sector.…”

Section: Appliance Ownership and Usementioning

confidence: 99%

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Environmental knowledge, pro-environmental behaviour and energy savings in households: An empirical study

2016

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Energy consumption in households comprises over a quarter of total energy use in the UK [1]. Human behaviour is one of the main factors that can influence domestic energy consumption, together with the physical properties of the dwelling, climate, number and demographic profile of occupants, household income, lifestyle, and appliance ownership and use [2][3][4][5]. Indeed, variation in residents' behaviour can cause significant differences in energy consumption between dwellings with otherwise similar characteristics (e.g. household size, income, and building energy performance) [3,6]. It is therefore important to understand influences upon behaviour in households as these in turn have implications for domestic energy use. In this respect, strategies to stimulate pro-environmental behaviour represent one means of modifying behaviour in households in order to promote energy conservation and reduce environmental impact [7].Pro-environmental behaviour is a form of environmental action that 'consciously seeks to minimize the negative impact of one's actions on the natural and built world ' [8, p.240], and 'only refers to those personal actions that are directly related to environmental improvement ' [9, p.325]. Such environmental actions can be performed individually or collectively, and may be direct or indirect in their approach to mitigating harm to, and improving, the environment [9]. Pro-environmental behaviours can also be influenced by internal factors such as environmental awareness, values and attitudes [10] and external factors such as social norms, interaction with other individuals and financial constraints [11,12].In this study we assess how environmental knowledge influences pro-environmental behaviour in households. We establish and confirm links between knowledge about the environment and energy, actions on Environmental knowledge, pro-environmental behaviour and energy savings in households: An empirical study AbstractIn this paper we evaluate the impact of knowledge about environmental and energy issues on potential pro-environmental behaviour in households, specifically relating to behaviours, attitudes and habits towards energy use. Our results are based on an empirical survey and we find significant correlations which indicate that residents with positive environmental values and greater environmental knowledge are more likely to demonstrate energy behaviours, attitudes and habits which lead to energy saving activities in households. This is further supported through a Principal Component Analysis (PCA), which suggests that energy saving behaviour may also vary according to gender and employment status. Conversely, we find only limited evidence of statistical associations between environmental predisposition and knowledge, and ownership and frequency of use of household appliances. We argue that our results contribute to the significant body of literature supporting the role of knowledge in active engagement with energy issues. This study is timely following closely policy developments in activ...

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Section: Appliance Ownership and Usementioning

confidence: 99%

Section: Appliance Ownership and Usementioning

confidence: 99%

Environmental knowledge, pro-environmental behaviour and energy savings in households: An empirical study

2016

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“…The kind of statistical saturation levels are available for many countries, e.g. in the public statistics of references (Mansouri et al, 1996;SF, 2003;SS, 2002;FSO, 2004). When these saturation levels are applied as availability probabilities each household is defined with a unique set of appliances.…”

Section: Mathematical Model For Household Electricity Consumptionmentioning

confidence: 99%

“…These sources can include total yearly consumption with mean daily consumption profiles Sidler, 1996; or just the yearly electricity consumption (Mansouri et al, 1996;Nutek, 1994;SLY, 1995). Also typical power levels of household appliances are available, partly as they are crucial for some of the popular non-intrusive load monitoring methods (Cole and Albicki, 1998;Hart, 1992;Pihala, 1998;Rissanen, 1998;Sultanem, 1991;Wood and Newborough, 2003).…”

Section: Mathematical Model For Household Electricity Consumptionmentioning

confidence: 99%

A model for generating household electricity load profiles

Paatero¹,

Lund²

2006

Int. J. Energy Res.

429

196

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SUMMARYElectricity consumption data profiles that include details on the consumption can be generated with a bottom-up load models. In these models the load is constructed from elementary load components that can be households or even their individual appliances. In this work a simplified bottom-up model is presented. The model can be used to generate realistic domestic electricity consumption data on an hourly basis from a few up to thousands of households. The model uses input data that is available in public reports and statistics. Two measured data sets from block houses are also applied for statistical analysis, model training, and verification. Our analysis shows that the generated load profiles correlate well with real data. Furthermore, three case studies with generated load data demonstrate some opportunities for appliance level demand side management (DSM). With a mild DSM scheme using cold loads, the daily peak loads can be reduced 7.2% in average. With more severe DSM schemes the peak load at the yearly peak day can be completely leveled with 42% peak reduction and sudden three hour loss of load can be compensated with 61% mean load reduction.

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“…A detailed survey held by Lopes [12] also suggested acting on user awareness of stand-by power consumption (that represents the 8-10% of total consumption) and in general on a closer association between electricity production and its economic burden, since energy cost is always the main priority even for residents enthusiastic about energy savings. Studies in the United States, the Netherlands and the UK [13] have estimated that 26-36% of in-home energy use is due to residents behaviour. To promote energy-conscious behaviour effectively throughout the population requires a better understanding of the interface between people and the equipment they use.…”

mentioning

confidence: 99%

Energy and architecture — An overview

Sonetti

2013

EPJ Web of Conferences

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Summary. -This paper aims to provide a short overview on the complex aspects and growing concern about energy in architecture by gradually zooming into it, starting from a macro-scale analysis of building contribution in the total EU energy consumption, related policies, user behaviour's impacts and vernacular architecture techniques; then looking at the meso scale of building energy performance during its use, dynamic simulations of heat transfer and insights from a whole life cycle analysis of the energy involved during construction and disposal phases; finally, at the building element micro-scale, describing local heat transfer and human thermal comfort measurements. Conclusions gather recommendations and further scenarios where different stakeholders and techniques can play their part for a wiser and more sustainable energy use, and a better built environment for us and those to come.

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Energy consumption in UK households: Impact of domestic electrical appliances

Cited by 133 publications

References 12 publications

Environmental knowledge, pro-environmental behaviour and energy savings in households: An empirical study

Environmental knowledge, pro-environmental behaviour and energy savings in households: An empirical study

A model for generating household electricity load profiles

Energy and architecture — An overview

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