Abstract

In order to have the best possible chance of achieving ‘decent work’ and ‘climate action’ as laid forth in the UN Sustainable Development Goals, government and policy makers must pay close attention to current time-use patterns, as well as the way these might change in the near future. Here we contribute to the existing literature on time-use behaviour through a systematic exploration of the relationship between working patterns and energy consumption from the perspective of time-use. Our starting point is the premise that different work arrangements impact the timing of energy demand not only in workplaces, but also at home. Using the data from the 2014–2015 UK time-use survey, we were able to capture patterns of time-use behaviours and to assess their relationship with daily energy consumption. We propose a systematic time-use-based approach for estimating residential energy consumption with regards to activity timing, activity location, activity coordination, and appliance type. We use this method to discover patterns in residential activities and energy consumption, as well as the causal relationship between residential energy consumption and work patterns. In this study, we unpack the heterogeneity in the work–energy relationship, particularly when comparing full-time and part-time workers. Our results suggest that full-time employees have a higher potential to reduce their energy use compared to part-time employees. We also discover a non-linear change in total energy consumption for respondents with varying levels of work time. Energy consumption reductions associated with differences in work schedules are greatest during the first few hours of the workday, but then level off. Our findings suggests that time-use data can provide useful insights for evaluating and possibly designing energy and labour-market policies.

Highlights

  • In 2019, the residential sector was the largest end user of electricity in the United Kingdom, accounting for 30 percent of total annual consumption [1]

  • For the purposes of our study, we considered energy consumption to be the result of time-use behaviours that could be classified based on four key dimensions: namely, the location in which activities take place, the duration of said activities, the type of appliance(s) likely associated with them, and whether there is an incentive for activity coordination across members of a household

  • We were able to calculate the correlation between work hours and energy use

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Summary

Introduction

In 2019, the residential sector was the largest end user of electricity in the United Kingdom, accounting for 30 percent of total annual consumption [1]. Part of the intervention plans aimed at mitigating peaks in residential electricity demand focuses on investigating the impact of time-use tariffs (TOU) on people’s energy consumption. When the TOU group was compared to the flat rate one, the results indicated a relatively higher average electricity consumption of 13.69% but with reduced electricity spending of 2.21% due to morning peak shifts. Srivastava [6] examined the effect of consumers’ behaviour and perceptions of smart appliances on demand flexibility using a quantile regression model based on survey data from 155 Belgian households. The findings appeared to provide evidence that consumer behaviour does, change as a result of awareness creation, providing additional support to the position that consumer literacy about the benefits of smart devices has a tendency to affect their energy consumption

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