Introducing a demand-based electricity distribution tariff in the residential sector: Demand response and customer perception

Bartusch, Cajsa; Wallin, Fredrik; Odlare, Monica; Vassileva, Iana; Wester, Lars

doi:10.1016/j.enpol.2011.06.013

Cited by 170 publications

(89 citation statements)

References 5 publications

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“…The applied distribution tariff thus has two time blocks and is updated once a year. Project results show that there has been a consistent change of behavior after the power-based tariffs were introduced: the absolute shift from peak to off-peak and vice versa was distributed between the summer (8.7%) and the winter (1.6%) season [31]. A follow-up study found that during the six year period following the first study (2009)(2010)(2011)(2012)(2013)(2014), households responded to the price signals by reducing individual peak demand by 9.3% (summer) and 7.5% (winter) as well as shifting electricity consumption from peak to off-peak hours by 2.4 and 0.2% respectively in the summer and winter seasons [32].…”

Section: Resultsmentioning

confidence: 85%

Fostering Residential Demand Response through Dynamic Pricing Schemes: A Behavioural Review of Smart Grid Pilots in Europe

et al. 2016

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Abstract:Many smart grid projects make use of dynamic pricing schemes aimed to motivate consumers to shift and/or decrease energy use. Based upon existing literature and analyses of current smart grid projects, this survey paper presents key lessons on how to encourage households to adjust energy end use by means of dynamic tariffs. The paper identifies four key hypotheses related to fostering demand response through dynamic tariff schemes and examines whether these hypotheses can be accepted or rejected based on a review of published findings from a range of European pilot projects. We conclude that dynamic pricing schemes have the power to adjust energy consumption behavior within households. In order to work effectively, the dynamic tariff should be simple to understand for the end users, with timely notifications of price changes, a considerable effect on their energy bill and, if the tariff is more complex, the burden for the consumer could be eased by introducing automated control. Although sometimes the mere introduction of a dynamic tariff has proven to be effective, often the success of the pricing scheme depends also on other factors influencing the behavior of end users. An important condition to make dynamic tariffs work is that the end users should be engaged with them.

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Section: Resultsmentioning

confidence: 85%

Fostering Residential Demand Response through Dynamic Pricing Schemes: A Behavioural Review of Smart Grid Pilots in Europe

et al. 2016

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“…Bartusch et al (2011) examine the impact of the introduction of a demand-based TOU tariff on a pilot basis to a group of 500 households in Sweden. Using data before and after the introduction of the TOU tariff, they find that total electricity consumption declined by 11.1 per cent and 14.2 per cent in the first two years after the change to TOU pricing (with the size of the reductions higher in the winter months).…”

mentioning

confidence: 99%

Estimating the Impact of Time-of-Use Pricing on Irish Electricity Demand

Cosmo¹,

Lyons²,

Nolan³

2014

The Energy Journal

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Smart meters, in conjunction with time-of-use (TOU) pricing, can facilitate an improvement in energy efficiency by providing consumers with enhanced information about electricity consumption and costs, and thereby encourage a shift away from consumption during peak hours. In 2009-10, the Irish Commission for Energy Regulation co-ordinated a randomised controlled trial in the Irish residential electricity market. Smart meters were introduced in approximately 5,000 households, divided into control and treatment groups, with treatment groups exposed to a variety of TOU tariffs and information stimuli. This paper analyses the response of Irish households at different times of the day to the introduction of TOU tariffs and information stimuli. We find that these measures have a significant effect in reducing electricity consumption in Ireland, particularly during peak hours. However, while households reduce peak demand significantly after the introduction of TOU tariffs and associated information, there is little incremental response to increasing differentials between peak and off-peak prices.

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“…The motive for installing smart meters in Sweden was the legal requirement to provide monthly invoices based on actual meter readings from 2009 onwards (Bartusch et al 2011). The rollout of smart meters would reduce electricity metering costs for the DSOs (Capgemini 2008;KEMA 2012a).…”

Section: Europe's 'Smart': Affordability and Sustainability In The LImentioning

confidence: 99%

The Political Economy of Clean Energy Transitions

Arndt¹,

Miller²,

Tarp³

et al. 2017

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Links to third party websites are provided by Oxford in good faith and for information only. Oxford disclaims any responsibility for the materials contained in any third party website referenced in this work. Terms of use: Documents inIt is permitted to reuse, share and adapt this work, subject to the following terms:Attribution -appropriate credit is given to the original work, the copyright holder and creator, and any changes made to the work are properly indicated.Non-Commercial -the work, or any adaptation of the work, may not be used, distributed or reproduced in any format, by any means, for commercial purposes.Share-Alike -the work, or any adaptation of the work is distributed under the same licence terms as the original, with a URL link provided to the licence.Some rights reserved. ForewordSustainable energy transitions involve the shift of resources between competing industrial sectors and political constituencies. Stakeholders in this process have varying degrees of political and economic power, and understanding how political economic factors influence clean energy transitions is crucial to effective policy formulation and facilitating transitions to sustainable energy systems. In partnership with the Joint Institute for Strategic Energy Analysis (JISEA), UNU-WIDER gathered together a substantial group of experts from around the world-from both developed and developing countries-to launch a multidisciplinary research project seeking to contribute to our enhanced understanding of these factors. The project sought to facilitate an energy transition that will generate very large environmental and economic benefits, particularly over the long run. The beneficiaries of clean energy transitions are highly diffuse and include future generations not yet born. This book is the distilled essence of the cross-cutting academic project. I express my sincere and professional appreciation to the large group of expert authors for their dedication to the project, and to my fellow editors in helping bring together the book for readers to enjoy and absorb along with the findings and policy implications.

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Introducing a demand-based electricity distribution tariff in the residential sector: Demand response and customer perception

Cited by 170 publications

References 5 publications

Fostering Residential Demand Response through Dynamic Pricing Schemes: A Behavioural Review of Smart Grid Pilots in Europe

Fostering Residential Demand Response through Dynamic Pricing Schemes: A Behavioural Review of Smart Grid Pilots in Europe

Estimating the Impact of Time-of-Use Pricing on Irish Electricity Demand

The Political Economy of Clean Energy Transitions

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