TY - JOUR
T1 - Predictive Maintenance of District Heating Networks
T2 - A Comprehensive Review of Methods and Challenges
AU - Rafati, Amir
AU - Shaker, Hamid Reza
PY - 2024/8
Y1 - 2024/8
N2 - District heating is one of the main strategies for providing heat supply for buildings in cold climate countries. However, large parts of the current prefabricated pipes of these networks are reaching the end of their technical service life. Replacing these pipes is a time-consuming procedure and requires huge investments. Predictive Maintenance (PdM) is a promising strategy to deal with these situations and to optimize and prioritize maintenance activities. This paper surveys different PdM approaches considering difficulties in implementing PdMs in district heating networks (DHNs) compared with other energy sectors. It demonstrates that the PdM methodology is unique for each DHN according to the distinctive characteristics, environmental factors, heating resource type, available data, equipment, and other factors. To the best of the authors’ knowledge, this paper presents the first comprehensive review focused on various aspects of PdM strategies developed for DHNs, including data analytics, prediction models, and integrated technologies to facilitate the implementation of these strategies in DHNs. A thorough discussion on state-of-the-art technologies and real-world challenges for implementing PdM is presented, and potential research avenues are provided.
AB - District heating is one of the main strategies for providing heat supply for buildings in cold climate countries. However, large parts of the current prefabricated pipes of these networks are reaching the end of their technical service life. Replacing these pipes is a time-consuming procedure and requires huge investments. Predictive Maintenance (PdM) is a promising strategy to deal with these situations and to optimize and prioritize maintenance activities. This paper surveys different PdM approaches considering difficulties in implementing PdMs in district heating networks (DHNs) compared with other energy sectors. It demonstrates that the PdM methodology is unique for each DHN according to the distinctive characteristics, environmental factors, heating resource type, available data, equipment, and other factors. To the best of the authors’ knowledge, this paper presents the first comprehensive review focused on various aspects of PdM strategies developed for DHNs, including data analytics, prediction models, and integrated technologies to facilitate the implementation of these strategies in DHNs. A thorough discussion on state-of-the-art technologies and real-world challenges for implementing PdM is presented, and potential research avenues are provided.
KW - District Heating Network
KW - predictive maintenance
KW - Fault Prediction
KW - Remaining Useful Life
KW - Reliability Assessment
U2 - 10.1016/j.tsep.2024.102722
DO - 10.1016/j.tsep.2024.102722
M3 - Journal article
SN - 2451-9049
VL - 53
JO - Thermal Science and Engineering Progress
JF - Thermal Science and Engineering Progress
M1 - 102722
ER -