Cristin-resultat-ID: 1814776
Sist endret: 15. mars 2021, 13:25
NVI-rapporteringsår: 2020
Resultat
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
2020

Stakeholder Motivation Analysis for Smart and Green Charging for Electric Mobility

Bidragsytere:
  • Marit Kjøsnes Natvig
  • Shanshan Jiang og
  • Svein Olav Hallsteinsen

Bok

Web, Artificial Intelligence and Network Applications
ISBN:
  • 978-3-030-44038-1

Utgiver

Springer
NVI-nivå 1

Serie

Advances in Intelligent Systems and Computing
ISSN 2194-5357
e-ISSN 2194-5365
NVI-nivå 1

Om resultatet

Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Publiseringsår: 2020
Volum: 1150
Hefte: 1150
Sider: 1394 - 1407
ISBN:
  • 978-3-030-44038-1
Open Access

Importkilder

Scopus-ID: 2-s2.0-85084001696

Klassifisering

Vitenskapsdisipliner

Informasjons- og kommunikasjonssystemer

Emneord

Batterilading • Smart energy • Smarte Byer • HCI and Software Engineering

Fagfelt (NPI)

Fagfelt: Tverrfaglig teknologi
- Fagområde: Realfag og teknologi

Beskrivelse Beskrivelse

Tittel

Stakeholder Motivation Analysis for Smart and Green Charging for Electric Mobility

Sammendrag

An innovative smart charging infrastructure is a prerequisite for the wide scale adoption of electric mobility (eMobility) to avoid intolerable demand peaks in the electricity grid, and to ensure predictable availability of charging facilities and green energy supply. Realising such a system is a cross-sectorial undertaking and concerns of a wide range of involved stakeholders must be addressed. This paper presents a stakeholder motivation analysis for smart and green charging for eMobility. The drivers, barriers, goals and requirements have been modelled using ArchiMate motivation models with input and feedback from representatives of the stakeholder groups. The work contributes with insight on how to achieve the required changes towards eMobility for core stakeholder groups, more specifically the associated drivers, barriers, goals and overall requirements. The motivation models have been the basis for the design of solutions for smart and green charging.

Bidragsytere

Marit Kjøsnes Natvig

  • Tilknyttet:
    Forfatter
    ved Software Engineering, Safety and Security ved SINTEF AS

Shanshan Jiang

  • Tilknyttet:
    Forfatter
    ved Software Engineering, Safety and Security ved SINTEF AS

Svein Olav Hallsteinsen

  • Tilknyttet:
    Forfatter
    ved Software Engineering, Safety and Security ved SINTEF AS
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Resultatet er en del av Resultatet er en del av

Web, Artificial Intelligence and Network Applications.

Barolli, Leonard; Amato, Flora; Moscato, Francesco; Enokido, Tomoya; Takizawa, Makoto. 2020, Springer. RD, HD, FKDVitenskapelig antologi/Konferanseserie
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