Dissecting demand response: A quantile analysis of flexibility, household attitudes, and demographics

Aman Srivastava (Corresponding author), Steven Van Passel (Corresponding author), Erik Laes (Corresponding author)

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

Uittreksel

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.

TaalEngels
Pagina's169-180
Aantal pagina's12
TijdschriftEnergy Research and Social Science
Volume52
DOI's
StatusGepubliceerd - 1 jun 2019

Vingerafdruk

flexibility
demand
Regression analysis
customer
Costs
Electricity
electricity consumption
consumption behavior
Belgian
costs
regression analysis
incentive
supply

Trefwoorden

    Citeer dit

    @article{d9c3d97355864fad85250a0b27c61d55,
    title = "Dissecting demand response: A quantile analysis of flexibility, household attitudes, and demographics",
    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.",
    keywords = "Demand response, Demand side management, Electricity, Household energy, Quantile regression, User acceptance",
    author = "Aman Srivastava and {Van Passel}, Steven and Erik Laes",
    year = "2019",
    month = "6",
    day = "1",
    doi = "10.1016/j.erss.2019.02.011",
    language = "English",
    volume = "52",
    pages = "169--180",
    journal = "Energy Research and Social Science",
    issn = "2214-6296",
    publisher = "Elsevier",

    }

    Dissecting demand response : A quantile analysis of flexibility, household attitudes, and demographics. / Srivastava, Aman (Corresponding author); Van Passel, Steven (Corresponding author); Laes, Erik (Corresponding author).

    In: Energy Research and Social Science, Vol. 52, 01.06.2019, blz. 169-180.

    Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

    TY - JOUR

    T1 - Dissecting demand response

    T2 - Energy Research and Social Science

    AU - Srivastava,Aman

    AU - Van Passel,Steven

    AU - Laes,Erik

    PY - 2019/6/1

    Y1 - 2019/6/1

    N2 - 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.

    AB - 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.

    KW - Demand response

    KW - Demand side management

    KW - Electricity

    KW - Household energy

    KW - Quantile regression

    KW - User acceptance

    UR - http://www.scopus.com/inward/record.url?scp=85062275645&partnerID=8YFLogxK

    U2 - 10.1016/j.erss.2019.02.011

    DO - 10.1016/j.erss.2019.02.011

    M3 - Article

    VL - 52

    SP - 169

    EP - 180

    JO - Energy Research and Social Science

    JF - Energy Research and Social Science

    SN - 2214-6296

    ER -