Peak electricity demand and the flexibility of everyday life

Powells, Gareth; Bulkeley, Harriet; Bell, Sandra; Judson, Ellis

doi:10.1016/j.geoforum.2014.04.014

Cited by 129 publications

(87 citation statements)

References 26 publications

(23 reference statements)

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“…This qualitative research addressed the two main learning objectives of the project: to understand how people currently use electricity and to assess households' capacities to develop flexibility through a range of interventions, for example by volunteers accepting time of use tariffs and others accepting direct control of wet white goods. Some work based on these objectives and relating to direct interventions has been published (Powells et al 2014).…”

Section: The Customer Led Network Revolution Project and Methodologymentioning

confidence: 99%

“…In this paper we argue that reducing domestic electricity consumption or encouraging customers to move their consumption away from periods of peak demand, such as early evening, is less a technical challenge and more a matter of understanding and responding to socio-cultural practices within and across households. Variations among households, such as income and house tenure are 2 important factors, but when considered alone they are too crude to be indicators of customers' willingness and ability to use less electricity and to time-shift their consumption to release pressure on generation and distribution during intensive peak periods (Powells et al 2014) or towards times when fluctuating renewable generation is high (Goulden et al 2014). …”

Section: Introductionmentioning

confidence: 99%

“…The electricity network load, for example, is the aggregation, at different scales, of the multiple ways in which electricity is used across the distribution network. (Powells et al 2014). …”

Section: Introductionmentioning

confidence: 99%

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Sociality and electricity in the United Kingdom: The influence of household dynamics on everyday consumption

Bell

Judson

Bulkeley

et al. 2015

Energy Research & Social Science

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Additional information:Use policyThe full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-prot purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details. Sociality and electricity: the influence of household dynamics on everyday consumptionAbstract:Our paper investigates household practices that use electricity, their relation to systems of provision and the enactment of domestic sociality. The results of this research conducted in the UK shed light on puzzling variations in electricity consumption across households posed by previous research. We argue for the need to attend to how household socialites influence and are influenced by electrical services and trace the links between these dynamics and the effects of wider cultural and socio-economic forces.

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Section: The Customer Led Network Revolution Project and Methodologymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Sociality and electricity in the United Kingdom: The influence of household dynamics on everyday consumption

Bell

Judson

Bulkeley

et al. 2015

Energy Research & Social Science

Self Cite

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“…The scheduling of periodic loads based on small-scale systems has been proposed in [33] where peak demand can be reduced by about 40 % or more. Powells et al [34] highlighted that laundry and dishwashing loads are quite flexible for shifting, but cooking and other kitchen appliances -Inelastic. Nevertheless reduction of household peak power demand is largely dependent on human behaviour [35].…”

Section: Peak Load Reduction Modelmentioning

confidence: 99%

Reducing Household Electricity Consumption through Demand Side Management: The Role of Home Appliance Scheduling and Peak Load Reduction

Laicāne

Blumberga

et al. 2015

Energy Procedia

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One of the key issues arising from extended smart metering roll-out across Europe is how the data obtained from the meters may be used to provide end users with important information on energy-saving advice, which is one of the main principles of demand side management (DSM). The investigation of the potential for demand side management to reduce peak load were evaluated in this study. One four-person household was surveyed with the aim to find out user activities within the house, in particular, the use of appliances. Two appliances -a washing machine and dishwasher -were selected for assessing the potential for load shifting. The derived results show that, as a result of washing machine and dishwasher load shifting, the peak load of a dwelling can be reduced on average by 24 % and 13.5 %, respectively.

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“…What demand response tariffs and technologies are acceptable to consumers (Fell, Shipworth, Huebner, & Elwell, 2015), and what might be their likely uptake? What factors affect the flexibility of everyday practices (Powells, Bulkeley, Bell, & Judson, 2014)? Should demand response technologies be designed around constraints of minimising inconvenience or discomfort?…”

Section: Introductionmentioning

confidence: 99%

Simulating residential demand response: Improving socio-technical assumptions in activity-based models of energy demand

et al. 2017

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Demand response is receiving increasing interest as a new form of flexibility within low-carbon power systems. Energy models are an important tool to assess the potential capability of demand side contributions. This paper critically reviews the assumptions in current models and introduces a new conceptual framework to better facilitate such an assessment. We propose three dimensions along which change could occur, namely technology, activities and service expectations. Using this framework, the socio-technical assumptions underpinning 'bottom-up' activity-based energy demand models are identified and a number of shortcomings are discussed. First, links between appliance usage and activities are not evidence-based. We propose new data collection approaches to address this gap. Second, aside from thermal comfort, service expectations, which can be an important source of flexibility, are underrepresented and their inclusion into demand models would improve their predicative power in this area. Finally, flexibility can be present over a range of time scales, from immediate responses, to longer term trends. Longitudinal time use data from participants in demand response schemes may be able to illuminate these. The recommendations of this paper seek to enhance the current state-of-the-art in activity-based models and to provide useful tools for the assessment of demand response.

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Peak electricity demand and the flexibility of everyday life

Abstract: This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International licence Newcastle University ePrints-eprint.ncl.ac.uk Powells G, Bulkeley H, Bell S, Judson E. Peak electricity demand and the flexibility of everyday life.

Cited by 129 publications

References 26 publications

Sociality and electricity in the United Kingdom: The influence of household dynamics on everyday consumption

Sociality and electricity in the United Kingdom: The influence of household dynamics on everyday consumption

Reducing Household Electricity Consumption through Demand Side Management: The Role of Home Appliance Scheduling and Peak Load Reduction

Simulating residential demand response: Improving socio-technical assumptions in activity-based models of energy demand

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