IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v132y2014icp610-620.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261914007466
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2014.07.063?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Li, Hailong & Jakobsen, Jana P. & Wilhelmsen, Øivind & Yan, Jinyue, 2011. "PVTxy properties of CO2 mixtures relevant for CO2 capture, transport and storage: Review of available experimental data and theoretical models," Applied Energy, Elsevier, vol. 88(11), pages 3567-3579.
    2. Li, H. & Yan, J., 2009. "Evaluating cubic equations of state for calculation of vapor-liquid equilibrium of CO2 and CO2-mixtures for CO2 capture and storage processes," Applied Energy, Elsevier, vol. 86(6), pages 826-836, June.
    3. Li, H. & Yan, J., 2009. "Impacts of equations of state (EOS) and impurities on the volume calculation of CO2 mixtures in the applications of CO2 capture and storage (CCS) processes," Applied Energy, Elsevier, vol. 86(12), pages 2760-2770, December.
    4. Li, H. & Yan, J. & Yan, J. & Anheden, M., 2009. "Impurity impacts on the purification process in oxy-fuel combustion based CO2 capture and storage system," Applied Energy, Elsevier, vol. 86(2), pages 202-213, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Guansheng Qi & Hao Hu & Wei Lu & Lulu Sun & Xiangming Hu & Yuntao Liang & Wei Wang, 2022. "Influence of Mine Environmental Factors on the Liquid CO 2 Pipeline Transport System with Great Altitude Difference," IJERPH, MDPI, vol. 19(22), pages 1-19, November.
    2. Luo, Xiaobo & Wang, Meihong, 2017. "Study of solvent-based carbon capture for cargo ships through process modelling and simulation," Applied Energy, Elsevier, vol. 195(C), pages 402-413.
    3. Karjunen, Hannu & Tynjälä, Tero & Hyppänen, Timo, 2017. "A method for assessing infrastructure for CO2 utilization: A case study of Finland," Applied Energy, Elsevier, vol. 205(C), pages 33-43.
    4. Elshahomi, Alhoush & Lu, Cheng & Michal, Guillaume & Liu, Xiong & Godbole, Ajit & Venton, Philip, 2015. "Decompression wave speed in CO2 mixtures: CFD modelling with the GERG-2008 equation of state," Applied Energy, Elsevier, vol. 140(C), pages 20-32.
    5. Tapia, John Frederick D. & Lee, Jui-Yuan & Ooi, Raymond E.H. & Foo, Dominic C.Y. & Tan, Raymond R., 2016. "Optimal CO2 allocation and scheduling in enhanced oil recovery (EOR) operations," Applied Energy, Elsevier, vol. 184(C), pages 337-345.
    6. Dall’Acqua, D. & Terenzi, A. & Leporini, M. & D’Alessandro, V. & Giacchetta, G. & Marchetti, B., 2017. "A new tool for modelling the decompression behaviour of CO2 with impurities using the Peng-Robinson equation of state," Applied Energy, Elsevier, vol. 206(C), pages 1432-1445.
    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.
    8. Anderson, Jeffrey J. & Rode, David & Zhai, Haibo & Fischbeck, Paul, 2021. "Transitioning to a carbon-constrained world: Reductions in coal-fired power plant emissions through unit-specific, least-cost mitigation frontiers," Applied Energy, Elsevier, vol. 288(C).
    9. Strogen, Bret & Bell, Kendon & Breunig, Hanna & Zilberman, David, 2016. "Environmental, public health, and safety assessment of fuel pipelines and other freight transportation modes," Applied Energy, Elsevier, vol. 171(C), pages 266-276.
    10. Hirsch, Piotr & Duzinkiewicz, Kazimierz & Grochowski, Michał & Piotrowski, Robert, 2016. "Two-phase optimizing approach to design assessments of long distance heat transportation for CHP systems," Applied Energy, Elsevier, vol. 182(C), pages 164-176.
    11. Oh, Se-Young & Yun, Seokwon & Kim, Jin-Kuk, 2018. "Process integration and design for maximizing energy efficiency of a coal-fired power plant integrated with amine-based CO2 capture process," Applied Energy, Elsevier, vol. 216(C), pages 311-322.
    12. Jiang, Jieyun & Rui, Zhenhua & Hazlett, Randy & Lu, Jun, 2019. "An integrated technical-economic model for evaluating CO2 enhanced oil recovery development," Applied Energy, Elsevier, vol. 247(C), pages 190-211.
    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.
    16. Zhao, Ying-jie & Zhang, Yu-ke & Cui, Yang & Duan, Yuan-yuan & Huang, Yi & Wei, Guo-qiang & Mohamed, Usama & Shi, Li-juan & Yi, Qun & Nimmo, William, 2022. "Pinch combined with exergy analysis for heat exchange network and techno-economic evaluation of coal chemical looping combustion power plant with CO2 capture," Energy, Elsevier, vol. 238(PA).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhang, Minkai & Guo, Yincheng, 2013. "Rate based modeling of absorption and regeneration for CO2 capture by aqueous ammonia solution," Applied Energy, Elsevier, vol. 111(C), pages 142-152.
    2. Chen, Wei-Hsin & Tsai, Ming-Hang & Hung, Chen-I, 2013. "Numerical prediction of CO2 capture process by a single droplet in alkaline spray," Applied Energy, Elsevier, vol. 109(C), pages 125-134.
    3. Chen, Wei-Hsin & Hou, Yu-Lin & Hung, Chen-I, 2012. "Influence of droplet mutual interaction on carbon dioxide capture process in sprays," Applied Energy, Elsevier, vol. 92(C), pages 185-193.
    4. Chen, Shiyi & Xiang, Wenguo & Wang, Dong & Xue, Zhipeng, 2012. "Incorporating IGCC and CaO sorption-enhanced process for power generation with CO2 capture," Applied Energy, Elsevier, vol. 95(C), pages 285-294.
    5. Luis Míguez, José & Porteiro, Jacobo & Pérez-Orozco, Raquel & Patiño, David & Rodríguez, Sandra, 2018. "Evolution of CO2 capture technology between 2007 and 2017 through the study of patent activity," Applied Energy, Elsevier, vol. 211(C), pages 1282-1296.
    6. Yin, Chungen & Yan, Jinyue, 2016. "Oxy-fuel combustion of pulverized fuels: Combustion fundamentals and modeling," Applied Energy, Elsevier, vol. 162(C), pages 742-762.
    7. Cui, Guodong & Zhang, Liang & Ren, Bo & Enechukwu, Chioma & Liu, Yanmin & Ren, Shaoran, 2016. "Geothermal exploitation from depleted high temperature gas reservoirs via recycling supercritical CO2: Heat mining rate and salt precipitation effects," Applied Energy, Elsevier, vol. 183(C), pages 837-852.
    8. Zhang, Kaiqiang & Jia, Na & Liu, Lirong, 2019. "CO2 storage in fractured nanopores underground: Phase behaviour study," Applied Energy, Elsevier, vol. 238(C), pages 911-928.
    9. Luo, Feng & Xu, Rui-Na & Jiang, Pei-Xue, 2013. "Numerical investigation of the influence of vertical permeability heterogeneity in stratified formation and of injection/production well perforation placement on CO2 geological storage with enhanced C," Applied Energy, Elsevier, vol. 102(C), pages 1314-1323.
    10. Chen, Wei-Hsin & Hou, Yu-Lin & Hung, Chen-I, 2011. "A theoretical analysis of the capture of greenhouse gases by single water droplet at atmospheric and elevated pressures," Applied Energy, Elsevier, vol. 88(12), pages 5120-5130.
    11. Hedin, Niklas & Andersson, Linnéa & Bergström, Lennart & Yan, Jinyue, 2013. "Adsorbents for the post-combustion capture of CO2 using rapid temperature swing or vacuum swing adsorption," Applied Energy, Elsevier, vol. 104(C), pages 418-433.
    12. 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.
    13. Wenchao Yang & Shuhong Li & Xianliang Li & Yuanyuan Liang & Xiaosong Zhang, 2015. "Analysis of a New Liquefaction Combined with Desublimation System for CO 2 Separation Based on N 2 /CO 2 Phase Equilibrium," Energies, MDPI, vol. 8(9), pages 1-14, September.
    14. Li, Didi & Zhang, Hongcheng & Li, Yang & Xu, Wenbin & Jiang, Xi, 2018. "Effects of N2 and H2S binary impurities on CO2 geological storage in stratified formation – A sensitivity study," Applied Energy, Elsevier, vol. 229(C), pages 482-492.
    15. Li, Hailong & Jakobsen, Jana P. & Wilhelmsen, Øivind & Yan, Jinyue, 2011. "PVTxy properties of CO2 mixtures relevant for CO2 capture, transport and storage: Review of available experimental data and theoretical models," Applied Energy, Elsevier, vol. 88(11), pages 3567-3579.
    16. Elshahomi, Alhoush & Lu, Cheng & Michal, Guillaume & Liu, Xiong & Godbole, Ajit & Venton, Philip, 2015. "Decompression wave speed in CO2 mixtures: CFD modelling with the GERG-2008 equation of state," Applied Energy, Elsevier, vol. 140(C), pages 20-32.
    17. Song, Chun Feng & Kitamura, Yutaka & Li, Shu Hong, 2012. "Evaluation of Stirling cooler system for cryogenic CO2 capture," Applied Energy, Elsevier, vol. 98(C), pages 491-501.
    18. Sanchez-Vicente, Yolanda & Tay, Weparn J. & Al Ghafri, Saif Z. & Trusler, J.P. Martin, 2018. "Thermodynamics of carbon dioxide-hydrocarbon systems," Applied Energy, Elsevier, vol. 220(C), pages 629-642.
    19. Li, Didi & Jiang, Xi, 2014. "A numerical study of the impurity effects of nitrogen and sulfur dioxide on the solubility trapping of carbon dioxide geological storage," Applied Energy, Elsevier, vol. 128(C), pages 60-74.
    20. Munkejord, Svend Tollak & Hammer, Morten & Løvseth, Sigurd W., 2016. "CO2 transport: Data and models – A review," Applied Energy, Elsevier, vol. 169(C), pages 499-523.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:132:y:2014:i:c:p:610-620. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.