Is there a near-term market for vehicle-to-grid electric vehicles?
Michael K. Hidrue and
George Parsons
Applied Energy, 2015, vol. 151, issue C, 67-76
Abstract:
We assess the near-term market for vehicle-to-grid electric vehicles (V2G–EVs) using an internet-based contingent-valuation survey. V2G–EVs are a special breed of electric vehicles used to return power to the grid for ancillary service support or during periods of peak electricity demand. Whether or not these vehicles are economically viable is of interest to policy makers and utility companies. We estimate a demand function for V2G–EVs, consider the importance of different vehicle attributes on demand, and then assess their likelihood of near-term success on the market. To assess the potential market, we compared consumer’s willingness to pay for V2G–EVs with the estimated cost of V2G–EVs under different scenarios of battery cost projection. We found, in all scenarios, WTP estimates are lower than projected costs. Range anxiety, stringent V2G contract, and high battery costs are the primary reasons for the outcome.
Keywords: Vehicle-to-grid (V2G); Electric vehicles; Willingness to pay (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (30)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306261915005061
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:151:y:2015:i:c:p:67-76
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic
DOI: 10.1016/j.apenergy.2015.04.051
Access Statistics for this article
Applied Energy is currently edited by J. Yan
More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().