| dc.contributor.author | Stergios Statharas | |
| dc.contributor.author | Yannis Moysoglou | |
| dc.contributor.author | Pelopidas Siskos | |
| dc.contributor.author | Pantelis Capros | |
| dc.contributor.other | School of Electrical and Computer Engineering, E3MLab, National Technical University of Athens, 9 Iroon Polytechniou Street, Zografou, 15773 Athens, Greece | |
| dc.contributor.other | E3-Modelling SA, Panormou 70-72, 11524 Athens, Greece | |
| dc.contributor.other | School of Electrical and Computer Engineering, E3MLab, National Technical University of Athens, 9 Iroon Polytechniou Street, Zografou, 15773 Athens, Greece | |
| dc.contributor.other | School of Electrical and Computer Engineering, E3MLab, National Technical University of Athens, 9 Iroon Polytechniou Street, Zografou, 15773 Athens, Greece | |
| dc.date.accessioned | 2025-10-09T05:31:45Z | |
| dc.date.available | 2025-10-09T05:31:45Z | |
| dc.date.issued | 01-04-2021 | |
| dc.identifier.uri | https://www.mdpi.com/1996-1073/14/9/2345 | |
| dc.identifier.uri | http://digilib.fisipol.ugm.ac.id/repo/handle/15717717/41129 | |
| dc.description.abstract | It is widely accepted that the market uptake of electric vehicles is essential for the decarbonisation of transport. However, scaling up the roll out of electric vehicles (EV) is challenging considering the lack of charging infrastructure. The latter is, currently, developing in an uneven way across the EU countries. A charging infrastructure with wide coverage addresses range limitations but requires high investment with uncertain returns during the early years of deployment. The aim of this paper is to assess how different policy options affect EV penetration and the involvement of private sector in infrastructure deployment. We propose a mathematical programming model of the decision problem and the interaction between the actors of EV charging ecosystem and apply it to the case of Greece from the time period until 2030. Greece represents a typical example of a country with ambitious targets for EV penetration by 2030 (10% of the total stock) with limited effort made until now. The results indicate that it is challenging to engage private investors in the early years, even using subsidies; thus, publicly financed infrastructure deployment is important for the first years. In the mid-term, subsidization on the costs of charging points is necessary to positively influence the uptake of private investments. These are mainly attracted from 2025 onwards, after a critical mass of EVs and infrastructure has been deployed. | |
| dc.language.iso | EN | |
| dc.publisher | MDPI AG | |
| dc.subject.lcc | Technology | |
| dc.title | Simulating the Evolution of Business Models for Electricity Recharging Infrastructure Development by 2030: A Case Study for Greece | |
| dc.type | Article | |
| dc.description.keywords | electric vehicles | |
| dc.description.keywords | electricity recharging infrastructure | |
| dc.description.keywords | business models | |
| dc.description.keywords | equilibrium programming | |
| dc.description.keywords | Greek EV mobility 2030 | |
| dc.description.keywords | private investments in infrastructure | |
| dc.description.doi | 10.3390/en14092345 | |
| dc.title.journal | Energies | |
| dc.identifier.e-issn | 1996-1073 | |
| dc.identifier.oai | oai:doaj.org/journal:e5107a198b5d4f769a16472c7f100fef | |
| dc.journal.info | Volume 14, Issue 9 | |
