Conceptual Dataspace Architecture for District Heating Use Case

Open Conference Proceedings, vol. 9

Abstract

Low-temperature district heating networks require accurate demand forecasts and active load control to operate efficiently with reduced supply temperatures and high shares of renewable heat. In practice, however, district heating operators have limited access to real-time data from customer substations and buildings due to privacy concerns, data silos, and lack of interoperability. As a result, operators must apply large safety margins, leading to higher losses and reduced overall system efficiency. This paper proposes a conceptual dataspace architecture based on IDSA-compliant components, the Eclipse Dataspace Components (EDC) together with N5GEH, a FIWARE-based IoT platform. The approach enables building owners to securely share selected substation data under strict usage policies, supporting improved forecasting and demand response while maintaining full data sovereignty.

Authors 4

1. Julianah Odeyemi Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University

2. Junsong Du Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University

3. Rita Streblow Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University

4. Dirk Müller Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University