[HTML][HTML] Review on the transport capacity management of oil and gas pipeline network: Challenges and opportunities of future pipeline transport

G Wang, Q Cheng, W Zhao, Q Liao, H Zhang - Energy Strategy Reviews, 2022 - Elsevier
Pipelines are the essential transportation infrastructure of the energy system, undertaking
most transportation tasks of oil and gas on land. In a critical period of the energy transition, it …

[HTML][HTML] Innovations of carbon-neutral petroleum pipeline: A review

Q Liao, Y Liang, R Tu, L Huang, J Zheng, G Wang… - Energy Reports, 2022 - Elsevier
As one of the major energy-intensive industries, petroleum pipelines are facing with huge
pressure from carbon-neutral policies. Conforming to green development, the traditional …

Deeppipe: A deep-learning method for anomaly detection of multi-product pipelines

J Zheng, C Wang, Y Liang, Q Liao, Z Li, B Wang - Energy, 2022 - Elsevier
The multi-product pipeline is the main way of refined oil transportation to ensure the safety of
the energy supply. Considering that abnormal conditions of the pipeline will cause huge …

Carbon footprint of oil products pipeline transportation

L Huang, Q Liao, J Yan, Y Liang, H Zhang - Science of The Total …, 2021 - Elsevier
As climate issues gradually attract public attention worldwide, the operation and construction
of oil product pipelines have been attached with new energy-saving and emission-reduction …

Pipeline sharing: Remaining capacity estimation of multiproduct pipelines

R Tu, Q Liao, L Huang, Y Jiao, X Wei, Y Liang - … Engineering Research and …, 2023 - Elsevier
Accurate estimation of remaining capacity is crucial for pipeline companies to improve their
service quality and economic benefits. Considering the delivery of multiple batches in long …

[HTML][HTML] A review of multiproduct pipeline scheduling: from bibliometric analysis to research framework and future research directions

Z Li, Y Liang, Q Liao, B Zhang, H Zhang - Journal of Pipeline Science and …, 2021 - Elsevier
Multiproduct pipelines play an important role in ensuring the downstream energy supply as
they transport about 70% of refined products. To guarantee the safe and stable operation of …

A review: machine learning for combinatorial optimization problems in energy areas

X Yang, Z Wang, H Zhang, N Ma, N Yang, H Liu… - Algorithms, 2022 - mdpi.com
Combinatorial optimization problems (COPs) are a class of NP-hard problems with great
practical significance. Traditional approaches for COPs suffer from high computational time …

Unequal age-based household emission and its monthly variation embodied in energy consumption–A cases study of Tokyo, Japan

Y Long, Y Yoshida, J Meng, D Guan, L Yao, H Zhang - Applied Energy, 2019 - Elsevier
City is the main place to consume goods and services throughout the world. Among the
various consumption terminals, household-level consumption is highly behavior driven …

Deeppipe: A customized generative model for estimations of liquid pipeline leakage parameters

J Zheng, Y Liang, N Xu, B Wang, T Zheng, Z Li… - Computers & Chemical …, 2021 - Elsevier
Considering the tremendous economic losses and human injury caused by pipeline leaks, it
is critical to detect and locate the pipeline leakage in time. This work proposes a generative …

An MILP approach for detailed scheduling of multi-product pipeline in pressure control mode

Q Liao, Y Liang, N Xu, H Zhang, J Wang… - … Research and Design, 2018 - Elsevier
Scheduling with hydraulic constraints is one of the crucial aspects to guarantee multi-
product pipeline safety. This paper develops a discrete-time mixed-integer linear …