An Analytical Study on the Correlations Between Natural Gas Pipeline Network Scheduling Decisions and External Environmental Factors

Changhao Wang, Bohong Wang (), Ning Jia, Wen Zhao, Ning Xu and Bosen Wang
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Changhao Wang: National & Local Joint Engineering Research Center of Harbour Oil & Gas Storage and Transportation Technology, Zhejiang Ocean University, No.1, Haida South Road, Zhoushan 316022, China
Bohong Wang: National & Local Joint Engineering Research Center of Harbour Oil & Gas Storage and Transportation Technology, Zhejiang Ocean University, No.1, Haida South Road, Zhoushan 316022, China
Ning Jia: Northwest Sichuan Division, PetroChina Southwest Oil & Gas Field Company, Mianyang 621700, China
Wen Zhao: National & Local Joint Engineering Research Center of Harbour Oil & Gas Storage and Transportation Technology, Zhejiang Ocean University, No.1, Haida South Road, Zhoushan 316022, China
Ning Xu: College of Engineering, China University of Petroleum—Beijing at Karamay, Karamay 834000, China
Bosen Wang: Research Institute of Aero-Engine, Beihang University, Beijing 100191, China

Energies, 2025, vol. 18, issue 13, 1-17

Abstract: A pipeline network is an important transportation mode of natural gas, and different external factors will affect the development of natural gas scheduling plans to different degrees. However, the specific correlation between each external environmental factor and pipeline network scheduling decision is not clear at this stage. This paper developed a hybrid method with Pearson’s correlation coefficient and Spearman’s correlation coefficient to study the correlations between climate temperature, total gas supply, economic conditions, other energy consumption and natural gas pipeline scheduling plans. The results showed that the correlation between natural gas pipeline output and climate temperature is good, presenting a significance level of 5% and below; in contrast, the correlations with economic conditions and other factors are less significant but still reach a significance level of 10%. Meanwhile, taking energy consumption as the object of study, it was found that the correlation between natural gas consumption and electric energy, crude oil and crude coal is good, showing a significance level of 5% and below. Among them, there is a significant positive correlation between natural gas consumption and electric energy consumption, and between natural gas consumption and crude oil consumption, which reveals the synergistic effects within the energy system.

Keywords: natural gas pipeline network; dispatch; correlation analysis; Pearson correlation coefficient; Spearman correlation coefficient (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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