TY - CHAP
T1 - Data Driven Supervision of District Heating Systems
AU - Lumbreras-Mugaguren, Mikel
AU - Garay-Martinez, Roberto
AU - Garrido-Marijuan, Antonio
AU - Eguiarte-Fernandez, Olaia
N1 - Publisher Copyright:
© 2022, TECNALIA.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85141204052&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-10410-7_7
DO - 10.1007/978-3-031-10410-7_7
M3 - Chapter
AN - SCOPUS:85141204052
T3 - Green Energy and Technology
SP - 165
EP - 178
BT - Green Energy and Technology
PB - Springer Science and Business Media Deutschland GmbH
ER -
