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Willing to participate in vehicle-to-grid (V2G)? Why not!

handle: 10044/1/75923
Abstract The predominant strategy to reduce CO2 emissions in the transport sector is its renewable based electrification. It implies mobile storages that could – during long phases of immobility – provide services for the electricity sector. However, this technical option – called vehicle-to-grid (V2G) – requires the vehicle users to temporarily abstain from the usage of their batteries for V2G. A reasonable estimate of the potential of V2G thus considers which individual, technical and economic parameters are decisive for the willingness of vehicle users to participate. To answer these questions a representative sample of vehicle users in Germany has been surveyed – including a discrete choice experiment. 'Range anxiety' and the 'minimum range' proved most important determinants of the willingness of vehicle users to participate in V2G. If these concerns are smoothed out, even without remuneration, high participation rates might be achieved. To increase the participation in the V2G technology, the transition from ‘tank control’ to ‘mobility demand articulation’ should be facilitated for vehicle users. Therefore, companies could tailor the V2G design to customers’ needs and policy could improve information about V2G. Remuneration, however, cannot be expected to be very supportive.
- Helmholtz Association of German Research Centres Germany
- Forschungszentrum Jülich Germany
- Imperial College London United Kingdom
Energy, 330, 620
Energy, 330, 620
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).139 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
