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CO2 Pipeline Transportation System Optimization Design Based on Multiple Population Genetic Algorithm

  • Qunhong TianEmail author
  • Aiqin Sun
  • Kan Shi
  • Fengde Wang
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 582)

Abstract

Carbon capture, transport, utilization and storage (CCUS) technology is an effective way to reduce the carbon emissions. CO2 transportation system is an important link between the capture source and storage sites, whose cost cannot be neglected. In order to realize the optimization design problem of CO2 pipeline transportation, levelized cost is given as the optimization objective, this paper establishes an optimization model of CO2 pipeline transportation, which is solved by using multiple population genetic algorithm (MPGA). Simulation results indicate the effectiveness of the proposed optimization method for CO2 pipeline transportation.

Keywords

CO2 pipeline transportation Levelized cost Pipeline optimization Multiple population genetic algorithm 

Notes

Acknowledgements

This work was partially supported by the Opening Fund of Shandong Key Laboratory of Oil & Gas Storage and Transportation Safety and the Fundamental Research Funds for the Central Universities (19CX05007A).

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.College of Mechanical and Electronic EngineeringShandong University of Science and TechnologyQingdaoChina

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