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Simulation-based techno-economic evaluation for optimal design of CO2 transport pipeline network

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  • Luo, Xiaobo
  • Wang, Meihong
  • Oko, Eni
  • Okezue, Chima

Abstract

For large volumes of carbon dioxide (CO2) onshore and offshore transportation, pipeline is considered the preferred method. This paper presents a study of the pipeline network planned in the Humber region of the UK. Steady state process simulation models of the CO2 transport pipeline network were developed using Aspen HYSYS®. The simulation models were integrated with Aspen Process Economic Analyser® (APEA). In this study, techno-economic evaluations for different options were conducted for the CO2 compression train and the trunk pipelines respectively. The evaluation results were compared with other published cost models. Optimal options of compression train and trunk pipelines were applied to form an optimal case. The overall cost of CO2 transport pipeline network was analyzed and compared between the base case and the optimal case. The results show the optimal case has an annual saving of 22.7M€. For the optimal case, levelized energy and utilities cost is 7.62€/t-CO2, levelized capital cost of trunk pipeline is about 8.11€/t-CO2 and levelized capital cost of collecting system is 2.62€/t- CO2. The overall levelized cost of the optimal case was also compared to the result of another project to gain more insights for CO2 pipeline network design.

Suggested Citation

  • Luo, Xiaobo & Wang, Meihong & Oko, Eni & Okezue, Chima, 2014. "Simulation-based techno-economic evaluation for optimal design of CO2 transport pipeline network," Applied Energy, Elsevier, vol. 132(C), pages 610-620.
    • Handle: RePEc:eee:appene:v:132:y:2014:i:c:p:610-620
    DOI: 10.1016/j.apenergy.2014.07.063
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    7. Okezue, Chima & Kuvshinov, Dmitriy, 2018. "A comprehensive study of the effect of chemical impurities on selection and sizing of centrifugal machines for supercritical carbon dioxide transport pipelines," Applied Energy, Elsevier, vol. 230(C), pages 816-835.
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    13. Meng, Hui & Wang, Meihong & Olumayegun, Olumide & Luo, Xiaobo & Liu, Xiaoyan, 2019. "Process design, operation and economic evaluation of compressed air energy storage (CAES) for wind power through modelling and simulation," Renewable Energy, Elsevier, vol. 136(C), pages 923-936.
    14. Lin, Chih-Wei & Nazeri, Mahmoud & Bhattacharji, Ayan & Spicer, George & Maroto-Valer, M. Mercedes, 2016. "Apparatus and method for calibrating a Coriolis mass flow meter for carbon dioxide at pressure and temperature conditions represented to CCS pipeline operations," Applied Energy, Elsevier, vol. 165(C), pages 759-764.
    15. Salvatore F. Cannone & Andrea Lanzini & Massimo Santarelli, 2021. "A Review on CO 2 Capture Technologies with Focus on CO 2 -Enhanced Methane Recovery from Hydrates," Energies, MDPI, vol. 14(2), pages 1-32, January.
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