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http://hdl.handle.net/1942/29003
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DC Field | Value | Language |
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dc.contributor.author | Srivastava, Aman | - |
dc.contributor.author | VAN PASSEL, Steven | - |
dc.contributor.author | Laes, Erik | - |
dc.date.accessioned | 2019-08-20T13:37:19Z | - |
dc.date.available | 2019-08-20T13:37:19Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | ENERGY RESEARCH & SOCIAL SCIENCE, 52, p. 169-180 | - |
dc.identifier.issn | 2214-6296 | - |
dc.identifier.uri | http://hdl.handle.net/1942/29003 | - |
dc.description.abstract | Demand response (DR) can aid with grid integration of renewables, ensuring security of supply, and reducing generation costs. However, not enough is known about how residential customers' perceptions of DR shape their response to such programs. This paper offers a deeper understanding of - and reveals the heterogeneity in - this relationship by conducting a quantile regression analysis of a Belgian DR trial, combining data on response with information on household attitudes towards smart appliances. Results overall suggest that improving response requires subtle shifts in electricity consumption behaviour, which can be achieved through changes in user perceptions. Specifically, if customers are inclined to be flexible, a stronger perception of smart appliances as being beneficial can greatly improve response. With those who are less flexible, the cost of smart appliances is a bigger concern. Thus, when designing DR programs, policymakers should aim to promote modest behaviour changes - so as to minimise inconvenience - in customers, by improving awareness on the benefits of smart appliances. Uptake of such DR programs may be improved by explaining the financial benefits or offering incentives to less flexible population segments. Lastly, improving response among older population segments will require a deeper investigation into their concerns. | - |
dc.description.sponsorship | This work continued on the results and data of the project Linear that was supported by the Flemish Ministry of Science and organised by the Institute for Science and Technology (IWT). The authors gratefully acknowledge the support extended by Wim Cardinaels at VITO in helping them access the underlying Linear data. | - |
dc.language.iso | en | - |
dc.publisher | ELSEVIER SCIENCE BV | - |
dc.rights | 2019 Elsevier Ltd. All rights reserved. | - |
dc.subject.other | Demand response; Demand side management; Electricity; Household energy; User acceptance; Quantile regression | - |
dc.subject.other | Demand response; Demand side management; Electricity; Household energy; User acceptance; Quantile regression | - |
dc.title | Dissecting demand response: A quantile analysis of flexibility, household attitudes, and demographics | - |
dc.type | Journal Contribution | - |
dc.identifier.epage | 180 | - |
dc.identifier.spage | 169 | - |
dc.identifier.volume | 52 | - |
local.format.pages | 12 | - |
local.bibliographicCitation.jcat | A1 | - |
dc.description.notes | [Srivastava, Aman; Van Passel, Steven] Univ Antwerp, Fac Appl Econ, Prinsstr 13, Antwerp, Belgium. [Srivastava, Aman; Laes, Erik] VITO Energyville, Smart Energy & Built Environm Unit, Thor Pk, B-8310 Poort Genk, Belgium. [Van Passel, Steven] Hasselt Univ, Fac Business Econ, Martelarenlaan 42, Hasselt, Belgium. | - |
local.publisher.place | AMSTERDAM | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
dc.identifier.doi | 10.1016/j.erss.2019.02.011 | - |
dc.identifier.isi | 000468215900016 | - |
item.contributor | Srivastava, Aman | - |
item.contributor | VAN PASSEL, Steven | - |
item.contributor | Laes, Erik | - |
item.fulltext | With Fulltext | - |
item.validation | ecoom 2020 | - |
item.fullcitation | Srivastava, Aman; VAN PASSEL, Steven & Laes, Erik (2019) Dissecting demand response: A quantile analysis of flexibility, household attitudes, and demographics. In: ENERGY RESEARCH & SOCIAL SCIENCE, 52, p. 169-180. | - |
item.accessRights | Open Access | - |
crisitem.journal.issn | 2214-6296 | - |
crisitem.journal.eissn | 2214-6326 | - |
Appears in Collections: | Research publications |
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File | Description | Size | Format | |
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srivastava 1.pdf Restricted Access | Published version | 2.88 MB | Adobe PDF | View/Open Request a copy |
Srivastava.2019.pdf | Peer-reviewed author version | 424.3 kB | Adobe PDF | View/Open |
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