2021
DOI: 10.1016/j.jclepro.2020.123354
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Analyzing the energy system impacts of price-induced demand-side-flexibility with empirical data

Abstract: This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, a… Show more

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Cited by 19 publications
(4 citation statements)
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References 34 publications
(66 reference statements)
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“…(g) Context effects. The influence of incentives on energy-related behaviors may depend on the context determined by other policies and intervention tools, for example information provision (see Hayes and Cone, 1977 ; Sexton et al, 1989 ; Allcott, 2011a ; Ashraf et al, 2013 ; Kahn and Wolak, 2013 ; Krause et al, 2013 ; Harding and Lamarche, 2016 ; Jenn et al, 2018 ; Palmer et al, 2018 ; Figueroa et al, 2019 ; Bollinger and Hartmann, 2020 ; Frondel and Kussel, 2020 ; Harding et al, 2020 ; Rodemeier and Löschel, 2020 ; McKenna et al, 2021 ), feedback on own consumption (see Hayes and Cone, 1977 ; Woo et al, 2013 ; Jessoe and Rapson, 2014 ; Harding and Lamarche, 2016 ; Martin and Rivers, 2018 ; Bollinger and Hartmann, 2020 ; Harding et al, 2020 ; Prest, 2020 ; McKenna et al, 2021 ), social norms feedback (see Dolan and Metcalfe, 2015 ; List et al, 2017 ; Sudarshan, 2017 ; Rezvani et al, 2018 ; Brent and Wichman, 2020 ), or the use of enabling and automation technologies like smart programmable thermostats (see Faruqui and Sergici, 2011 ; Davis et al, 2013 ; Faruqui et al, 2013 ; Suter and Shammin, 2013 ; Woo et al, 2013 ; Harding and Lamarche, 2016 ; Gillan, 2018 ; Bollinger and Hartmann, 2020 ; Harding et al, 2020 ).…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…(g) Context effects. The influence of incentives on energy-related behaviors may depend on the context determined by other policies and intervention tools, for example information provision (see Hayes and Cone, 1977 ; Sexton et al, 1989 ; Allcott, 2011a ; Ashraf et al, 2013 ; Kahn and Wolak, 2013 ; Krause et al, 2013 ; Harding and Lamarche, 2016 ; Jenn et al, 2018 ; Palmer et al, 2018 ; Figueroa et al, 2019 ; Bollinger and Hartmann, 2020 ; Frondel and Kussel, 2020 ; Harding et al, 2020 ; Rodemeier and Löschel, 2020 ; McKenna et al, 2021 ), feedback on own consumption (see Hayes and Cone, 1977 ; Woo et al, 2013 ; Jessoe and Rapson, 2014 ; Harding and Lamarche, 2016 ; Martin and Rivers, 2018 ; Bollinger and Hartmann, 2020 ; Harding et al, 2020 ; Prest, 2020 ; McKenna et al, 2021 ), social norms feedback (see Dolan and Metcalfe, 2015 ; List et al, 2017 ; Sudarshan, 2017 ; Rezvani et al, 2018 ; Brent and Wichman, 2020 ), or the use of enabling and automation technologies like smart programmable thermostats (see Faruqui and Sergici, 2011 ; Davis et al, 2013 ; Faruqui et al, 2013 ; Suter and Shammin, 2013 ; Woo et al, 2013 ; Harding and Lamarche, 2016 ; Gillan, 2018 ; Bollinger and Hartmann, 2020 ; Harding et al, 2020 ).…”
Section: Resultsmentioning
confidence: 99%
“…, feedback on own consumption (see Hayes and Cone, 1977;Woo et al, 2013;Jessoe and Rapson, 2014;Harding and Lamarche, 2016;Martin and Rivers, 2018;Bollinger and Hartmann, 2020;Harding et al, 2020;Prest, 2020;McKenna et al, 2021), social norms feedback (see Dolan and Metcalfe, 2015;List et al, 2017;Sudarshan, 2017;Rezvani et al, 2018;Brent and Wichman, 2020), or the use of enabling and automation technologies like smart programmable thermostats (see Faruqui and Sergici, 2011;…”
mentioning
confidence: 99%
“…Raw data on consumer behavior collected through Information and Communication Technology (ICT) tools can be processed and integrated to large-scale energy-economy models, as shown by previous examples in the literature. For example, the authors of [101] studied the impact on residential electricity use and energy efficiency in Austria from the roll-out of smartphone apps providing users with information about dynamic electricity prices. Based on econometrically estimated price elasticities, the authors investigated the systemic effects of incorporating flexible electricity demand via a bottom-up optimization energy model.…”
Section: Pathways For Future Researchmentioning
confidence: 99%
“…In this context, policy measures to counteract energy poverty should continuously be implemented – also in times of no crisis. Here, energy flexibility may help to lower the overall costs of operating a low-carbon energy system [ [86] , [87] , [88] ], where end consumers may directly benefit from reduced electricity prices. Countries must also ensure that currently drafted short-term recovery programmes for the economy do not risk achieved success concerning justice and SDGs.…”
Section: Potential Of Flexibility During and After Covid-19mentioning
confidence: 99%