Vehicle-to-grid; self-determination theory; systematic literature review; user perspective
Abstract :
[en] With the proliferation of electric vehicles, smart charging and discharging technologies, such as vehicle-to-grid (V2G), are playing an increasingly important role. V2G can help improve grid efficiency, reduce greenhouse emissions, and help energy systems increase the share of volatile renewable energy sources. However , for the successful implementation of such technologies, active participation of the vehicle users is critical. So far , literature has mainly focused on the technical aspects of V2G, neglecting the human component., this paper follows a twofold approach. First, we conduct a systematic review of 458 articles on V2G. Second, we draw on the self-determination theory to deepen our understanding of the motivational drivers for adopting or paying for V2G services and how they can be strengthened. Our findings indicate that financial and environmental benefits are important drivers for V2G adoption. Additionally, clear policies, awareness programs, and developed infrastructure are essential for the widespread adoption of V2G systems.
Research center :
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > FINATRAX - Digital Financial Services and Cross-organizational Digital Transformations
Disciplines :
Management information systems Social & behavioral sciences, psychology: Multidisciplinary, general & others Energy Computer science
Author, co-author :
Bilousova, Mariia
FRANK, Muriel-Larissa ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > FINATRAX
External co-authors :
yes
Language :
English
Title :
Understanding Vehicle-to-Grid User Engagement Using Self-Determination Theory
Publication date :
03 May 2024
Event name :
32nd European Conference on Information Systems (ECIS)
FNR - Luxembourg National Research Fund Federal Ministry of Economic Affairs and Energy (BMWi)
Funding number :
FKZ03EI1028A; FNR13342933
Funding text :
This research was funded in part by the Luxembourg National Research Fund (FNR) and PayPal,
PEARL grant reference 13342933/Gilbert Fridgen. For the purpose of open access, and in fulfillment
of the obligations arising from the grant agreement, the author has applied a Creative Commons
Attribution 4.0 International (CC BY 4.0) license to any Author Accepted Manuscript version arising
from this submission. The research was in part funded by the Federal Ministry of Economic Affairs
and Energy (BMWi) under grant nr. FKZ03EI1028A (EnergiesysAI).