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Intelligent optimization of natural gas pipeline compressor stations
Zixuan Zhao1,2, Lin Li1,2, Zhenxiang Sun1,2
1School of Electronic Engineering, Xi'an Shiyou University, Xi'an 710065, China.
Iscience
|July 23, 2026
Summary
Optimizing natural gas compressor stations using intelligent frameworks significantly cuts energy use. This approach reduces power consumption by approximately 23%, aiding efficient, low-carbon natural gas transportation.
Area of Science:
- Engineering
- Energy Systems
- Optimization
Background:
- Natural gas compressor stations are major energy consumers in pipeline systems.
- Operational efficiency and emission reduction are critical for these facilities.
Purpose of the Study:
- To address the load allocation problem for parallel compressor units.
- To develop an optimization model for enhanced operational efficiency and reduced emissions.
Main Methods:
- Formulation of a mixed-integer nonlinear optimization model.
- Incorporation of operational constraints and thermodynamic characteristics.
- Development of a hybrid intelligent optimization framework.
Main Results:
- Optimized strategy reduced power consumption from ~32 MW to 24.58 MW.
- Achieved approximately 23% energy savings in a case study.
- Demonstrated improved solution quality and robustness under constrained conditions.
Conclusions:
- Intelligent optimization offers a viable strategy for energy efficiency in natural gas transportation.
- The developed framework supports low-carbon operations for pipeline infrastructure.
- Significant energy savings are achievable through optimized compressor unit load allocation.
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