Determinants of high electrical energy demand in UK homes: Socio-economic and dwelling characteristics

Jones, Raymond C. F.; Lomas, Kevin J.

doi:10.1016/j.enbuild.2015.04.052

Cited by 106 publications

(57 citation statements)

References 47 publications

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“…As indicated in the previous literature, floor area is closely related to household income and the number of family members [35]. Therefore, we utilize the available survey data of household income and the number of family numbers, together with non-missing floor area data to estimate a regression model based on regression algorithm, where household income and the number of family numbers are regarded as explanatory variables while floor area is perceived as response variables.…”

Section: Completion Of Missing Quantitative Datamentioning

confidence: 99%

Impact Analysis of Customized Feedback Interventions on Residential Electricity Load Consumption Behavior for Demand Response

Wang

Liu

et al. 2018

Energies

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Considering the limitations of traditional energy-saving policies, a kind of energy conservation method called the Information Feedback to Residential Electricity Load Customers, which could impact the demand response capacity, has increasingly received more attention. However, most of the current feedback programs provide the same feedback information to all customers regardless of their diverse characteristics, which may reduce the energy-saving effects or even backfire. This paper attempts to investigate how different types of customers may change their behaviors under a set of customized feedback. We conducted a field survey study in Qinhuangdao (QHD), China. First, we conducted semi-structured interviews to classify four groups of customers of different energy-saving awareness, energy-saving potential, and behavioral variability. Then, 156 QHD households were surveyed using scenarios to collect feedback of different scenarios. Social science theories were used to guide the discussion on the behavior changes as a result of different feedback strategies and reveal the reasons for customers' behaviors. Using the Chi-Square test of independence, the variables that have strong correlations with the categories of residents are extracted to provide references for residents' classification. Finally, the practical implications and needs for future research are discussed.

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Section: Completion Of Missing Quantitative Datamentioning

confidence: 99%

Impact Analysis of Customized Feedback Interventions on Residential Electricity Load Consumption Behavior for Demand Response

Wang

Liu

et al. 2018

Energies

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“…Similarly, an empirical study in the UK showed that high electricity consumption in homes was not influenced by the employment status of occupants [59]. Component 6 might be explained by the positive behaviour 'spillover effect', through which the adoption of one environmental behaviour follows another [60].…”

mentioning

confidence: 99%

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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“…Narayan and Smyth [32] examined the relationship between electricity consumption, employment and real income in Australia and found that per capita GDP and employment have a positive impact on per capita electricity consumption. In addition to the study of Gurgul and Lach [31] and Narayan and Smyth [32], many researchers [33][34][35] also confirmed that the variable of the employment is also an important factor to affect energy consumption. The variable of residential space is also found to have a positive influence on per capita consumption.…”

Section: The Factors Affecting Residential Electricity Consumption Bamentioning

confidence: 99%

“…Such kinds of buildings emphasize the importance of privacy, with high, sound-proof windows, which therefore requires a stronger cooling system. Some previous studies have found that the dwelling type [17,[35][36][37] and the number of bedrooms [17,35] have a significant influence over residential electricity consumption.…”

Section: The Factors Affecting Residential Electricity Consumption Bamentioning

confidence: 99%

The Factors Affecting Electricity Consumption and the Consumption Characteristics in the Residential Sector—A Case Example of Taiwan

Chen

2017

Sustainability

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This article attempts to examine the factors affecting residential electricity consumption through two approaches, a socioeconomic perspective and a direct use perspective. The results of this study find that gross domestic product (GDP), employment rates, residential space, and the implementation of energy labeling schemes provide significant impacts on residential electricity consumption. However, the impacts of electricity price and the energy efficiency standards do not receive significant support. The analysis of the direct use approach finds that air conditioners consume the largest portion of electricity, amounting to 1470 kWh for each household and accounting for 26.81% except for lighting. Refrigerators and rice cookers follow, consuming 815.83 kWh (14.88%) and 343.85 kWh (6.27%) of electricity. The correlation analysis reveals that GDP keeps a high relationship with the installation of electrical appliances and eventually leads to an increase in residential electricity consumption. By integrating the results obtained from these two approaches, this paper also discusses some improvement strategies. The results, derived from the case example of Taiwan's residential electricity consumption, may provide valuable information for policy-making involving green labeling, energy standards, and electricity prices.

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Determinants of high electrical energy demand in UK homes: Socio-economic and dwelling characteristics

Cited by 106 publications

References 47 publications

Impact Analysis of Customized Feedback Interventions on Residential Electricity Load Consumption Behavior for Demand Response

Impact Analysis of Customized Feedback Interventions on Residential Electricity Load Consumption Behavior for Demand Response

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

The Factors Affecting Electricity Consumption and the Consumption Characteristics in the Residential Sector—A Case Example of Taiwan

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