Managing Knowledge in Energy Data Spaces

TL;DR

This paper explores how Energy Data Ecosystems (EDEs) and the IDS reference architecture can address data fragmentation and integration challenges in the energy sector, promoting more effective data sharing and application development.

Contribution

It evaluates the applicability of EDEs and IDS architecture in real-world energy scenarios, highlighting their potential to improve data exchange and integration.

Findings

EDEs facilitate controlled data sharing in energy applications.

IDS architecture supports interoperability across energy data systems.

Application of EDEs in EU projects demonstrates practical benefits.

Abstract

Data in the energy domain grows at unprecedented rates and is usually generated by heterogeneous energy systems. Despite the great potential that big data-driven technologies can bring to the energy sector, general adoption is still lagging. Several challenges related to controlled data exchange and data integration are still not wholly achieved. As a result, fragmented applications are developed against energy data silos, and data exchange is limited to few applications. In this paper, we analyze the challenges and requirements related to energy-related data applications. We also evaluate the use of Energy Data Ecosystems (EDEs) as data-driven infrastructures to overcome the current limitations of fragmented energy applications. EDEs are inspired by the International Data Space (IDS) initiative launched in Germany at the end of 2014 with an overall objective to take both the development and use of the IDS reference architecture model to a European/global level. The reference architecture model consists of four architectures related to business, security, data and service, and software aspects. This paper illustrates the applicability of EDEs and IDS reference architecture in real-world scenarios from the energy sector. The analyzed scenario is positioned in the context of the EU-funded H2020 project PLATOON.