Enabling Data Economy for DHC Applications Through Dataspaces

Edmund Widl; Christian Wolff; Mathieu Vallée; Kristina Lygnerud; Dietrich Schmidt; Zheng Grace Ma; Xiaochen Yang; Axel Oliva; Michele Tunzi

doi:10.1007/978-3-032-09844-3_5

Enabling Data Economy for DHC Applications Through Dataspaces

Edmund Widl
, Christian Wolff
, Mathieu Vallée
, Kristina Lygnerud
, Dietrich Schmidt
, Zheng Grace Ma
, Xiaochen Yang
, Axel Oliva
, Michele Tunzi

Power and Renewable Gas Systems

Fraunhofer ISE
Université Grenoble Alpes
Lund University
Fraunhofer Institute for Energy Economics and Energy System Technology
University of Southern Denmark
Tianjin University
Technical University of Denmark

Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review

Abstract

Digitalization enables innovative applications in district heating and cooling (DHC), supporting decarbonization and sector integration. These applications rely heavily on data, making the shift toward a data economy a logical next step. A data economy would let stakeholders collect, share, and monetize data, encouraging sustainable innovation. However, limited data availability, interoperability challenges, and unclear business models present key barriers. A potential solution may be dataspaces, which promote collaboration, innovation, and regulatory compliance while protecting sensitive data. This study presents DHC use cases showing how dataspaces can enhance operational flexibility, improve interoperability, and unlock new business value, offering a path to overcome digitalization challenges in the DHC sector.

Original language	English
Title of host publication	Proceedings of the 19th International Symposium on District Heating and Cooling
Subtitle of host publication	Lecture Notes in Networks and Systems
Editors	Dirk Vanhoudt
Publisher	Springer Nature
Pages	41-49
Number of pages	9
Volume	1700
ISBN (Electronic)	978-3-032-09844-3
ISBN (Print)	978-3-032-09843-6
DOIs	https://doi.org/10.1007/978-3-032-09844-3_5
Publication status	Published - 24 Jan 2026
Event	19th International Symposium on District Heating and Cooling - Genk, Belgium Duration: 7 Sept 2025 → 10 Sept 2025 https://events.vito.be/iea-dhc-symposium-2025

Conference

Conference	19th International Symposium on District Heating and Cooling
Country/Territory	Belgium
City	Genk
Period	7/09/25 → 10/09/25
Internet address	https://events.vito.be/iea-dhc-symposium-2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Research Field

Power System Digitalisation

Access to Document

10.1007/978-3-032-09844-3_5Licence: CC BY

Cite this

Widl, E., Wolff, C., Vallée, M., Lygnerud, K., Schmidt, D., Ma, Z. G., Yang, X., Oliva, A., & Tunzi, M. (2026). Enabling Data Economy for DHC Applications Through Dataspaces. In D. Vanhoudt (Ed.), Proceedings of the 19th International Symposium on District Heating and Cooling: Lecture Notes in Networks and Systems (Vol. 1700, pp. 41-49). Springer Nature. https://doi.org/10.1007/978-3-032-09844-3_5

@inproceedings{46a66b3ecced482d8391c9f93a97b56d,

title = "Enabling Data Economy for DHC Applications Through Dataspaces",

abstract = "Digitalization enables innovative applications in district heating and cooling (DHC), supporting decarbonization and sector integration. These applications rely heavily on data, making the shift toward a data economy a logical next step. A data economy would let stakeholders collect, share, and monetize data, encouraging sustainable innovation. However, limited data availability, interoperability challenges, and unclear business models present key barriers. A potential solution may be dataspaces, which promote collaboration, innovation, and regulatory compliance while protecting sensitive data. This study presents DHC use cases showing how dataspaces can enhance operational flexibility, improve interoperability, and unlock new business value, offering a path to overcome digitalization challenges in the DHC sector.",

author = "Edmund Widl and Christian Wolff and Mathieu Vall{\'e}e and Kristina Lygnerud and Dietrich Schmidt and Ma, \{Zheng Grace\} and Xiaochen Yang and Axel Oliva and Michele Tunzi",

year = "2026",

month = jan,

day = "24",

doi = "10.1007/978-3-032-09844-3\_5",

language = "English",

isbn = "978-3-032-09843-6",

volume = "1700",

pages = "41--49",

editor = "Dirk Vanhoudt",

booktitle = "Proceedings of the 19th International Symposium on District Heating and Cooling",

publisher = "Springer Nature",

address = "Switzerland",

note = "19th International Symposium on District Heating and Cooling ; Conference date: 07-09-2025 Through 10-09-2025",

url = "https://events.vito.be/iea-dhc-symposium-2025",

}

Widl, E, Wolff, C, Vallée, M, Lygnerud, K, Schmidt, D, Ma, ZG, Yang, X, Oliva, A & Tunzi, M 2026, Enabling Data Economy for DHC Applications Through Dataspaces. in D Vanhoudt (ed.), Proceedings of the 19th International Symposium on District Heating and Cooling: Lecture Notes in Networks and Systems. vol. 1700, Springer Nature, pp. 41-49, 19th International Symposium on District Heating and Cooling, Genk, Belgium, 7/09/25. https://doi.org/10.1007/978-3-032-09844-3_5

Enabling Data Economy for DHC Applications Through Dataspaces. / Widl, Edmund; Wolff, Christian; Vallée, Mathieu et al.
Proceedings of the 19th International Symposium on District Heating and Cooling: Lecture Notes in Networks and Systems. ed. / Dirk Vanhoudt. Vol. 1700 Springer Nature, 2026. p. 41-49.

Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review

TY - GEN

T1 - Enabling Data Economy for DHC Applications Through Dataspaces

AU - Widl, Edmund

AU - Wolff, Christian

AU - Vallée, Mathieu

AU - Lygnerud, Kristina

AU - Schmidt, Dietrich

AU - Ma, Zheng Grace

AU - Yang, Xiaochen

AU - Oliva, Axel

AU - Tunzi, Michele

PY - 2026/1/24

Y1 - 2026/1/24

N2 - Digitalization enables innovative applications in district heating and cooling (DHC), supporting decarbonization and sector integration. These applications rely heavily on data, making the shift toward a data economy a logical next step. A data economy would let stakeholders collect, share, and monetize data, encouraging sustainable innovation. However, limited data availability, interoperability challenges, and unclear business models present key barriers. A potential solution may be dataspaces, which promote collaboration, innovation, and regulatory compliance while protecting sensitive data. This study presents DHC use cases showing how dataspaces can enhance operational flexibility, improve interoperability, and unlock new business value, offering a path to overcome digitalization challenges in the DHC sector.

AB - Digitalization enables innovative applications in district heating and cooling (DHC), supporting decarbonization and sector integration. These applications rely heavily on data, making the shift toward a data economy a logical next step. A data economy would let stakeholders collect, share, and monetize data, encouraging sustainable innovation. However, limited data availability, interoperability challenges, and unclear business models present key barriers. A potential solution may be dataspaces, which promote collaboration, innovation, and regulatory compliance while protecting sensitive data. This study presents DHC use cases showing how dataspaces can enhance operational flexibility, improve interoperability, and unlock new business value, offering a path to overcome digitalization challenges in the DHC sector.

U2 - 10.1007/978-3-032-09844-3_5

DO - 10.1007/978-3-032-09844-3_5

M3 - Conference Proceedings with Oral Presentation

SN - 978-3-032-09843-6

VL - 1700

SP - 41

EP - 49

BT - Proceedings of the 19th International Symposium on District Heating and Cooling

A2 - Vanhoudt, Dirk

PB - Springer Nature

T2 - 19th International Symposium on District Heating and Cooling

Y2 - 7 September 2025 through 10 September 2025

ER -

Enabling Data Economy for DHC Applications Through Dataspaces

Abstract

Conference

UN SDGs

Research Field

Access to Document

Fingerprint

Cite this