The paper establishes a low-carbon operation model for natural gas long-distance pipelines based on different energy structure backgrounds used to calculate the carbon emissions and energy consumption of multi-energy sources to reduce the carbon emissions.It adopts an improved particle swarm optimization algorithm(NHPSO-JTVAC)to solve the model as well as provide an optimal scheduling scheme and takes the second and third line western parallel pipeline section of China's west-to-East gas pipeline as a practical case to analyze.The results show that the carbon emissions in the existing system decreased by 28.80%and energy consumption reduced by 23.05%after the optimization.If such new energy sources as wind and solar power are introduced into the pipeline system,carbon emissions could decrease by 32.20%and energy consumption would decrease by 22.11%.Considering the relative stability of photovoltaic power generation compared to wind power generation,it is recommended to introduce solar power in different time periods to reduce carbon emissions in the paper.
Natural gasPipeline optimizationNHPSO-JTVAC algorithmCarbon emissionsNew energy
NETL
NSTL
维普
万方数据
