Data exchange and energy efficiency as a challenge

The energy efficiency of logistics properties in Germany is in need of optimisation. Even recording individual types of energy consumption is often a challenge, as the relevant data is fragmented and not accessible to all parties involved. In addition, the data is difficult to compare due to the various types of buildings and different utilisation regimes. This situation is exacerbated by rising energy prices and new regulatory requirements, which also stipulate the specific measurement and control of energy consumption in logistics properties. While large companies are already making progress in energy management, small and medium-sized enterprises (SMEs) lack a standardised and low-threshold framework for recording and analysing their energy consumption.
Holistic recording of energy-relevant data using a knowledge graph
The GRANERGIZE project aims to develop a knowledge graph for the energy management of logistics properties. This knowledge graph will enable the structured recording, evaluation and reliable provision of energy consumption data in logistics properties. It will also support the integration of utilisation, consumption and feed-in data with location, building and environmental information. This data will be accessible in a suitable form across company boundaries.
As part of this project, a semantic data model including a domain ontology for logistics real estate will be developed, which will serve as the basis for the knowledge graph and is of importance to all stakeholders in the logistics real estate sector. In order to fill the knowledge graph with content and ensure its scalability, a concept for incentives for cross-company data utilisation will also be developed.