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Author |
Srivastava, A.; Van Passel, S.; Valkering, P.; Laes, E.J.W. |
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Title |
Power outages and bill savings : a choice experiment on residential demand response acceptability in Delhi |
Type |
A1 Journal article |
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Year |
2021 |
Publication |
Renewable & Sustainable Energy Reviews |
Abbreviated Journal |
Renew Sust Energ Rev |
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Volume |
143 |
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Pages |
110904 |
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Keywords |
A1 Journal article; Engineering sciences. Technology; Engineering Management (ENM) |
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Abstract |
This paper conducts a discrete choice experiment among 167 households in the Delhi region in India, to study the acceptability of demand response (DR) programs among upper-income households. Attributes include rate types, rate bands, reductions in power outages, and expected monthly savings. Results indicate a preference for time-of-use pricing over real-time pricing, and a preference for three rate slabs per day over two. Respondents prioritize reductions in power outages and minimizing potential expenses, reflecting the financial sensitivity and energy poverty relative to other countries. Respondents' ages and incomes further affect the value that they attach to reductions in power outages. The paper proposes various structures of DR programs that could achieve high predicted enrollment and concludes by estimating the potential benefits of implementing such programs. Overall, the analysis indicates that a DR program could be feasible in a developing country context, particularly if it is designed keeping in mind local socio-economic considerations. This may be supported through further confirmatory research. |
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Wos |
000637710200016 |
Publication Date |
2021-03-08 |
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ISSN |
1364-0321; 1879-0690 |
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Additional Links |
UA library record; WoS full record |
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Impact Factor |
8.05 |
Times cited |
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Open Access |
OpenAccess |
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Approved |
Most recent IF: 8.05 |
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Call Number |
UA @ admin @ c:irua:178188 |
Serial ![sorted by Serial field, descending order (down)](img/sort_desc.gif) |
6938 |
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Author |
Srivastava, A.; Van Passel, S.; Kessels, R.; Valkering, P.; Laes, E. |
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Title |
Reducing winter peaks in electricity consumption: A choice experiment to structure demand response programs |
Type |
A1 Journal Article |
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Year |
2020 |
Publication |
Energy Policy |
Abbreviated Journal |
Energ Policy |
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Volume |
137 |
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Pages |
111183 |
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Keywords |
A1 Journal Article; Engineering Management (ENM) ; |
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Abstract |
Winter peaks in Belgian electricity demand are significantly higher than the summer peaks, creating a greater potential for imbalances between demand and supply. This potential is exacerbated because of the risk of outages in its ageing nuclear power plants, which are being phased out in the medium term. This paper conducts a choice experiment to investigate the acceptability of a load control-based demand response program in the winter months. It surveys 186 respondents on their willingness to accept limits on the use of home appliances in return for a compensation. Results indicate that respondents are most affected by the days of the week that their appliance usage would be curtailed, and by the compensation they would receive. The willingness to enroll in a program increases with age, environmental consciousness, home ownership, and lower privacy concerns. The analysis predicts that 95% of the sample surveyed could enroll in a daily load control program for a compen- sation of €41 per household per year. Thus while an initial rollout among older and more pro-environment homeowners could be successful, a wider implementation would require an explanation of its environmental and financial benefits to the population, and a greater consideration of their data privacy concerns. |
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000515439900040 |
Publication Date |
2019-12-13 |
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ISSN |
0301-4215 |
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Additional Links |
UA library record; WoS full record; WoS citing articles |
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Impact Factor |
9 |
Times cited |
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Notes |
The authors gratefully acknowledge the guidance offered by the Flemish Electricity Regulatory Agency (VREG), the Flemish Department for Environment, Nature, and Energy (LNE), and Guido Pepermans in designing the experiment. We are also grateful for the translations provided by Loic De Weerdt, and the support extended by Macarena MacLean Larrain in pre-testing the experiment. Finally, Roselinde Kes- sels thanks the Flemish Research Foundation (FWO) for her postdoctoral fellowship and the JMP Division of SAS Institute for further financial support. |
Approved |
Most recent IF: 9; 2020 IF: 4.14 |
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Call Number |
ENM @ enm @c:irua:167253 |
Serial ![sorted by Serial field, descending order (down)](img/sort_desc.gif) |
6348 |
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Author |
Srivastava, A.; Van Passel, S.; Laes, E. |
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Title |
Dissecting demand response : a quantile analysis of flexibility, household attitudes, and demographics |
Type |
A1 Journal article |
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Year |
2019 |
Publication |
Energy Research and Social Science |
Abbreviated Journal |
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52 |
Issue |
52 |
Pages |
169-180 |
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Keywords |
A1 Journal article; Economics; Engineering Management (ENM) |
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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. |
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Wos |
000468215900016 |
Publication Date |
2019-03-04 |
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2214-6296 |
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Additional Links |
UA library record; WoS full record |
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Impact Factor |
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Times cited |
1 |
Open Access |
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Notes |
; 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. ; |
Approved |
Most recent IF: NA |
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Call Number |
UA @ admin @ c:irua:158910 |
Serial ![sorted by Serial field, descending order (down)](img/sort_desc.gif) |
6183 |
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Permanent link to this record |
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Author |
Srivastava, A.; Van Passel, S.; Laes, E. |
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Title |
Assessing the success of electricity demand response programs : a meta-analysis |
Type |
A1 Journal article |
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Year |
2018 |
Publication |
Energy Research and Social Science |
Abbreviated Journal |
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Volume |
40 |
Issue |
40 |
Pages |
110-117 |
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Keywords |
A1 Journal article; Economics; Engineering Management (ENM) |
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Abstract |
This paper conducts a meta-analysis of 32 electricity demand response programs in the residential sector to understand whether their success is dependent on specific characteristics. The paper analyses several regression models using various combinations of variables that capture the designs of the programs and the socio-economic conditions in which the programs are implemented. The analysis reveals that demand response programs are more likely to succeed in highly urbanized areas, in areas where economic growth rates are high, and in areas where the renewable energy policy is favorable. These findings provide useful guidance in determining where and how to implement future demand response programs. |
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Wos |
000430737800014 |
Publication Date |
2017-12-28 |
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ISSN |
2214-6296 |
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Additional Links |
UA library record; WoS full record; WoS citing articles; WoS full record; WoS citing articles |
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Impact Factor |
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Times cited |
18 |
Open Access |
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Notes |
; ; |
Approved |
Most recent IF: NA |
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Call Number |
UA @ admin @ c:irua:149027 |
Serial ![sorted by Serial field, descending order (down)](img/sort_desc.gif) |
6154 |
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