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District heating monitoring and control systems
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.ORCID iD: 0000-0001-5662-825X
2015 (English)In: Advanced District Heating and Cooling (DHC) Systems / [ed] Robin Wiltshire, Elsevier, 2015, p. 241-258Chapter in book (Other academic)
Abstract [en]

This chapter describes how district heating substations can be controlled in order to improve customer comfort and system performance, and how energy measurement data can be used to monitor the functionality of substations. We primarily consider indirectly connected district heating substations, where the primary energy supply system is separated from internal building heating and tap water systems. Different approaches to achieve higher efficacy of the district heating substation and the district heating system are introduced, as are methods for the detection of typical faults in district heating substations. These methods enable identification of faults that result in abnormal energy metering data, such as incorrectly configured or installed substations, or faults in the energy meter instrumentation, including the communication system and sensors.

Place, publisher, year, edition, pages
Elsevier, 2015. p. 241-258
Series
Woodhead Publishing Series in Energy
National Category
Energy Systems Energy Engineering
Research subject
Cyber-Physical Systems; Machine Learning
Identifiers
URN: urn:nbn:se:ltu:diva-110186DOI: 10.1016/B978-1-78242-374-4.00012-4Scopus ID: 2-s2.0-85051979540OAI: oai:DiVA.org:ltu-110186DiVA, id: diva2:1906407
Note

ISBN for host publication: 978-1-78242-374-4; 978-1-78242-395-9

Available from: 2024-10-17 Created: 2024-10-17 Last updated: 2025-10-21Bibliographically approved

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Gustafsson, J.Sandin, F.

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