Study on the maintenance scheduling model for compressor units of long-distance natural gas networks considering actual maintenance demands

Abstract Most maintenance strategies serving for the practical applications are formulated based on the single maintenance objective and do not consider the physical layout of compressor units in the complex pipeline networks and the actual maintenance demands, resulting in the over-maintenance or under-maintenance. The effective maintenance strategies for compressor units improve the unit reliability, economy, and maintenance efficiency. This work establishes a multi-level maintenance scheduling model composing of unit life prediction, unit-level maintenance decision, and system-level maintenance scheduling to guide the maintenance planning with cost and availability as the evaluation objectives. The maintenance strategies are developed by considering the series-parallel layout of compressor units, actual maintenance demands, and maintenance capability. The effectiveness of the proposed model is verified through 31 compressor unit networks in the Chinese west-east gas pipeline under the strategies of separating maintenance, combining maintenance, single maintenance team, and multiple maintenance teams, and compared it with the traditional methods. Compared with the traditional individual and simultaneous maintenance modes, the proposed method based on the optimal time window can reduce the maintenance cost by at least 27.7% and 25.1%, respectively. The weight factors and reliability have a great influence on the cost increase rate and unit availability. The multi-objective maintenance scheduling can improve the unit availability by 1.6% compared with the single availability optimization objective, and the corresponding maintenance cost rate is only increased by 0.68%. For the complex compressor unit networks, it is a better choice to consider the multi-objective maintenance planning under the single maintenance team. The model can improve the anti-risk ability of compressor units in long-distance natural gas networks and put forward maintenance suggestions from the perspective of safety, economy, and reliability.

[1]  Joseph C. Hartman An Economic Replacement Model with Probabilistic Asset Utilization , 2001 .

[2]  Klaus Brun,et al.  Degradation of gas turbine performance in natural gas service , 2009 .

[3]  Frits C. R. Spieksma,et al.  Modeling and solving the periodic maintenance problem , 2006, Eur. J. Oper. Res..

[4]  Michael J. Economides,et al.  The state of natural gas , 2009 .

[5]  Huisheng Zhang,et al.  A novel grey prognostic model based on Markov process and grey incidence analysis for energy conversion equipment degradation , 2016 .

[6]  Xiaoli Meng,et al.  A novel method of risk assessment based on cloud inference for natural gas pipelines , 2016 .

[7]  Huisheng Zhang,et al.  A Dynamic Reliability-Centered Maintenance Analysis Method for Natural Gas Compressor Station Based on Diagnostic and Prognostic Technology , 2016 .

[8]  Mitra Fouladirad,et al.  Assessment of a maintenance model for a multi-deteriorating mode system , 2010, Reliab. Eng. Syst. Saf..

[9]  Wei Liang,et al.  A comprehensive risk evaluation method for natural gas pipelines by combining a risk matrix with a bow-tie model , 2015 .

[10]  Rezg Nidhal,et al.  Joint optimisation of maintenance and production policies considering random demand and variable production rate , 2012 .

[11]  Daniel Zimmerle,et al.  Methane emissions from natural gas compressor stations in the transmission and storage sector: measurements and comparisons with the EPA greenhouse gas reporting program protocol. , 2015, Environmental science & technology.

[12]  David A. Menachof,et al.  Risk management methods for the liner shipping industry: the case of the Bunker Adjustment Factor , 2001 .

[13]  Ji-Huan He,et al.  Newton-like iteration method for solving algebraic equations , 1998 .

[14]  Huisheng Zhang,et al.  Fault diagnosis of gas turbine based on partly interpretable convolutional neural networks , 2020, Energy.

[15]  J Lee,et al.  Zero-Breakdown Machines and Systems: Productivity Needs for Next-Generation Maintenance , 2006 .

[16]  Jacek Kalina,et al.  Energy and exergy recovery in a natural gas compressor station – A technical and economic analysis , 2015 .

[17]  Richard J. Povinelli,et al.  Probabilistic anomaly detection in natural gas time series data , 2016 .

[18]  A. Sadegheih,et al.  Providing an integrated Model for Planning and Scheduling Energy Hubs and preventive maintenance , 2018, Energy.

[19]  Markus Bohlin,et al.  CUSTOMER ADAPTED MAINTENANCE PLAN (CAMP) - A PROCESS FOR OPTIMIZATION OF GAS TURBINE MAINTENANCE , 2008 .

[20]  Yi-Guang Li,et al.  Gas turbine performance prognostic for condition-based maintenance , 2009 .

[21]  Farshid Keynia,et al.  A new model for reliability-centered maintenance prioritisation of distribution feeders , 2019, Energy.

[22]  C. Riverol,et al.  Reliability evaluation of a Gas Turbine Water Wash System – A case study , 2015 .

[23]  Hui Xiao,et al.  Balancing the demand and supply of a power grid system via reliability modeling and maintenance optimization , 2020 .

[24]  Y. Makogon Natural gas hydrates – A promising source of energy , 2010 .

[25]  Masdi Muhammad,et al.  A Framework for Intelligent Condition-based Maintenance of Rotating Equipment using Mechanical Condition Monitoring , 2014 .

[26]  Mohd Shahrizal Jasmani,et al.  Prediction on performance degradation and maintenance of centrifugal gas compressors using genetic programming , 2018, Energy.

[27]  J. N. Yang,et al.  Fatigue reliability of gas turbine engine components under scheduledinspection maintenance , 1985 .

[28]  Mohammad Jafar Tarokh,et al.  RETRACTED ARTICLE: Coordinated supplier bid selection based on customer order placement using an autonomous F-AHP–QFD-oriented methodology , 2012 .

[29]  Laibin Zhang,et al.  Risk based opportunistic maintenance model for complex mechanical systems , 2014, Expert Syst. Appl..

[30]  Karel Macek,et al.  Model−based predictive maintenance in building automation systems with user discomfort , 2017 .

[31]  Frank Beichelt,et al.  A Replacement Policy Based on Limits for the Repair Cost Rate , 1982, IEEE Transactions on Reliability.

[32]  Hong-Zhong Huang,et al.  Optimal Replacement Policy for Multi-State System Under Imperfect Maintenance , 2010, IEEE Transactions on Reliability.

[33]  Liang Hu,et al.  A new orientation design model and numerical solution for coiled tubing drilling , 2015 .

[34]  Vishal Sethi,et al.  Optimization of Aero Gas Turbine Maintenance Using Advanced Simulation and Diagnostic Methods , 2014 .

[35]  Mohammadreza Tahan,et al.  Performance-based health monitoring, diagnostics and prognostics for condition-based maintenance of gas turbines: A review , 2017 .

[36]  A W Labib,et al.  An intelligent maintenance model (system): an application of the analytic hierarchy process and a fuzzy logic rule-based controller , 1998, J. Oper. Res. Soc..

[37]  Hong-Bae Jun,et al.  On condition based maintenance policy , 2015, J. Comput. Des. Eng..