TY - JOUR
T1 - Supply resilience assessment of natural gas pipeline network systems
AU - Yang, Zhaoming
AU - Su, Huai
AU - Du, Xingkai
AU - Zio, Enrico
AU - Xiang, Qi
AU - Peng, Shiliang
AU - Fan, Lin
AU - Faber, Michael Havbro
AU - Zhang, Jinjun
N1 - Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2023/1/20
Y1 - 2023/1/20
N2 - Resilience is one of the important components of system safety evaluation and optimization, the research of which for natural gas pipeline network system (NGPNS) is still in initial stage, especially for the resilience indexes and process description. To evaluate the resilience of NGPNS more synthetically and practically, considering different types of disturbances, an integrated framework is proposed for evaluating the supply resilience of NGPNS, involving the topology and operating conditions. The characteristics of both deterministic and probabilistic disturbances are analyzed. The innovations and corresponding methodology are that global resilience, temporal resilience and threshold resilience are proposed as the resilience evaluation indicators; the maximum flow method and shortest path method are integrated with operation and structural parameters to calculate the amounts and routes of gas supply, before and after disturbance; based on complex networks theory and graph theory, the traditional view point is changed from whole system to the affected area. The results can contribute to the guidance of NGPNS topological designing and the building of prewarning scheme, including spare gas sources and gas routes optimization, and the strategy of pipeline maintenance, also can help the rapid analysis of disturbance consequences and the enhancement of evaluating accuracy in NGPS resilience.
AB - Resilience is one of the important components of system safety evaluation and optimization, the research of which for natural gas pipeline network system (NGPNS) is still in initial stage, especially for the resilience indexes and process description. To evaluate the resilience of NGPNS more synthetically and practically, considering different types of disturbances, an integrated framework is proposed for evaluating the supply resilience of NGPNS, involving the topology and operating conditions. The characteristics of both deterministic and probabilistic disturbances are analyzed. The innovations and corresponding methodology are that global resilience, temporal resilience and threshold resilience are proposed as the resilience evaluation indicators; the maximum flow method and shortest path method are integrated with operation and structural parameters to calculate the amounts and routes of gas supply, before and after disturbance; based on complex networks theory and graph theory, the traditional view point is changed from whole system to the affected area. The results can contribute to the guidance of NGPNS topological designing and the building of prewarning scheme, including spare gas sources and gas routes optimization, and the strategy of pipeline maintenance, also can help the rapid analysis of disturbance consequences and the enhancement of evaluating accuracy in NGPS resilience.
KW - Deterministic analysis
KW - Maximum flow method
KW - Monte Carlo simulation
KW - Natural gas pipeline networks system
KW - Probabilistic analysis
KW - Resilience
UR - http://www.scopus.com/inward/record.url?scp=85145018147&partnerID=8YFLogxK
U2 - 10.1016/j.jclepro.2022.135654
DO - 10.1016/j.jclepro.2022.135654
M3 - Journal article
AN - SCOPUS:85145018147
SN - 0959-6526
VL - 385
JO - Journal of Cleaner Production
JF - Journal of Cleaner Production
M1 - 135654
ER -