Data Driven Supervision of District Heating Systems

Mikel Lumbreras-Mugaguren; Roberto Garay-Martinez; Antonio Garrido-Marijuan; Olaia Eguiarte-Fernandez

doi:10.1007/978-3-031-10410-7_7

Data Driven Supervision of District Heating Systems

Mikel Lumbreras-Mugaguren^*
, Roberto Garay-Martinez
, Antonio Garrido-Marijuan
, Olaia Eguiarte-Fernandez

^*Corresponding author for this work

University of Deusto

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

The transition towards ultra low temperature requires that conservative engineering practices are revisited based on the actual performance of a network. In this process, frequent data from heat meters in consumer substations is a key information source. This chapter presents the expected performance, typical misfunctions, potential causes, and remedial measures in District Heating networks. All this is based on data-driven detection methods. Example cases from a real District Heating DH network are presented.

Original language	English
Title of host publication	Green Energy and Technology
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	165-178
Number of pages	14
DOIs	https://doi.org/10.1007/978-3-031-10410-7_7
Publication status	Published - 2022

Publication series

Name	Green Energy and Technology
ISSN (Print)	1865-3529
ISSN (Electronic)	1865-3537

UN SDGs

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

SDG 7 Affordable and Clean Energy

Access to Document

10.1007/978-3-031-10410-7_7

Cite this

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abstract = "The transition towards ultra low temperature requires that conservative engineering practices are revisited based on the actual performance of a network. In this process, frequent data from heat meters in consumer substations is a key information source. This chapter presents the expected performance, typical misfunctions, potential causes, and remedial measures in District Heating networks. All this is based on data-driven detection methods. Example cases from a real District Heating DH network are presented.",

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AU - Garrido-Marijuan, Antonio

AU - Eguiarte-Fernandez, Olaia

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Data Driven Supervision of District Heating Systems

Abstract

Publication series

UN SDGs

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