Energizing Data Access: Crafting a State Process Model for Energy Data Permissions

  • Florian Michael Weingartshofer

Student thesis: Master's Thesis

Abstract

In Europe, each country has to provide a way to eligible parties to gain access to
energy data from final customers. The final customers have to give their permission first
before eligible parties can access the energy data. The management of the permissions
is done by permission administrators. While each permission administrator provides
a permission process, the implementations differ significantly. The process steps and
interfaces to communicate with the permission administrator of each region can differ.
In order for eligible parties to access the energy data of multiple regions, they have
to implement the corresponding permission processes. This places a significant burden
of development on eligible parties, which is not limited to the implementation itself, but
also requires the eligible party to design a generalized model of the permission processes.
This thesis aims to answer the following research questions in regard to the permission processes of permission administrators:
• How can multiple permission processes be generalized into one abstract permission
process model?
• What are the approaches to implement the permission process model?
• Which approach stays true to the permission process model while being flexible
for different permission processes?
The aim is to implement a prototype based on a generalized permission process
model, which is modeled based on three permission administrators: Austria’s EDA,
France’s Enedis, and Spain’s Datadis. Each permission administrator implements a
different permission process, which has to be taken into account when designing the
generalized model. The permission process model is implemented using two approaches.
The implementations are compared to find advantages and disadvantages of both approaches.
Finally, this should highlight the differences between the permission processes employed by permission administrators.
Date of Award2024
Original languageEnglish (American)
SupervisorMarc Kurz (Supervisor) & Stefan Grünberger (Supervisor)

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