Model-informed Charging Policymaking

How does modeling evidence influence EV charging infrastructure policymaking in the UK and the Netherlands?

Master Thesis (2023)
Author(s)

X. GU (TU Delft - Technology, Policy and Management)

Contributor(s)

Stefan Pfenninger – Mentor (TU Delft - Energy and Industry)

W.W. Veeneman – Graduation committee member (TU Delft - Organisation & Governance)

E. Gusheva – Coach (TU Delft - Energy and Industry)

Faculty
Technology, Policy and Management
Copyright
© 2023 XIWEN GU
More Info
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Publication Year
2023
Language
English
Copyright
© 2023 XIWEN GU
Graduation Date
30-08-2023
Awarding Institution
Delft University of Technology
Programme
['Management of Technology (MoT)']
Faculty
Technology, Policy and Management
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Abstract

The establishment of a well-developed charging infrastructure is imperative for the broader adoption of Electric Vehicle (EV) and necessitates the formulation of an effective charging infrastructure policy. To navigate the intricacies involved in the policymaking process, the incorporation of EV charging models can be advantageous. Existing research indicates that models have a significant impact on facilitating policymaking in the broader energy sector. Nevertheless, it remains unclear whether computer-based models exert a similar influence on the EV charging policies. Previous studies lack comprehensive insights into the practical application of models in EV charging policy processes and the resultant policy modifications due to the unique attributes of both EV charging models and policies. Furthermore, there exists a lack of systematic understanding regarding the utilization of charging infrastructure models. Given these gaps in knowledge, this research aims to investigate the following question: How does modeling evidence influence EV charging infrastructure policymaking in the UK and the Netherlands?
This study finds that EV charging models have exerted substantial influence across various stages of local policy cycles, significantly shaping decision-making processes. Such impact has pre- dominantly concentrated on the practical and operational aspects of the models, primarily concerning the optimal number and spatial distribution of charging points. However, there remains a noticeable lack of attention to strategic considerations pertaining to broader energy transition and green transport initiatives. This oversight is particularly evident in the insufficient exploration of how EV charging in- frastructure can be effectively integrated into a more extensive and long-term blueprint. This research highlights the need for a strategic-level approach to comprehend the interplay between EV charging networks and the larger energy transition agenda, encompassing themes such as renewable energy integration, smart grid compatibility and urban planning synergies. Consequently, policymakers and modelers should expand their planning of charging infrastructure to encompass the broader landscape and envision how EV charging models can harmonize with sustainable urban development, ensuring a cohesive and effective implementation within the overarching framework of environmental conservation and sustainable mobility.

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