Project Details
Description
This project focuses on Danish participation in the international research project IEA DHC Annex TS9 “Digitalization of District Heating and Cooling: Improving Efficiency and Performance Through Data Integration." In the transition towards a future energy system based on 100% renewable sources, the international hub for district energy research of the “International Energy Agency” (IEA DHC) prioritized the necessity to support the development, integration, and demonstration of digital processes into district heating and cooling schemes. The future digitalization of the energy system is crucial in the global agenda and enhances district energy systems to optimize the generation and networks’ operations while improving the control of heating systems inside buildings and empowering the end-consumers. The project aims to tackle existing barriers or silos hindering effective communication among various domains and stakeholders in the future advancements of DHC technology. Through this initiative, there is potential to enhance the overall development of the 4GDH system and empower better-informed decision-making processes, ultimately optimizing its performance and data utilization. The results from the international collaboration will be conveyed in a practical guidebook and openly accessible.
| Status | Active |
|---|---|
| Effective start/end date | 01/10/2024 → 31/12/2028 |
Collaborative partners
- DTU Compute (Project partner) (lead)
- Teknologisk Institut (Project partner)
- Aalborg University (Project partner)
- Kamstrup A/S (Project partner)
- Danfoss A/S (Project partner)
- Center Denmark (Project partner)
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Related research output
- 1 Article in proceedings
-
A Visual Diagnostics Framework for District Heating Data: Enhancing Data Quality for AI-Driven Heat Consumption Prediction
Christensen, K., Jørgensen, B. N. & Ma, Z. G., 2026, Energy Informatics - 5th Energy Informatics Academy Conference, EI.A 2025, Proceedings. Jørgensen, B. N., Ma, Z. G. & Yussof, S. (eds.). Springer Science+Business Media, p. 90-106 (Lecture Notes in Computer Science, Vol. 16393 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile18 Downloads (Pure)