IDEAS home Printed from https://ideas.repec.org/a/bjc/journl/v9y2022i4p01-05.html
   My bibliography  Save this article

Technical Evaluation of Cathodic Protection of Subsea Structures

Author

Listed:
  • Precious Chisom Jumbo-Egwurugwu

    (University of Port Harcourt, Nigeria)

  • Franklin Okoro

    (CleanScript Group)

  • Ibe Emmanuel

    (University of Port Harcourt, Nigeria)

  • Obo-Obaa Elera Njiran

    (University of Port Harcourt, Nigeria)

Abstract

This paper carried out the performance evaluation of cathodic protection in comparison with other corrosion prevention techniques based on factors like conductivity, maintenance requirement, cost, electrical continuity, and surface area of structure treated. In the course of the work, the comparative analysis of these techniques was carried out using a multi criteria analysis tool ‘TOPSIS’. After going through all the stages in the TOPSIS assessment, the best corrosion prevention technology with respect to all the considered criteria, which comprised of: treatment time, effectiveness, energy consumption, durability, economics and maturity is reinforcing materials with a TOPSIS score of 0.7745. The second-best technology is cathodic protection with a TOPSIS score of 0.6729, followed by surface treatment and coating with a TOPSIS score of 0.5903. Inhibitors came fourth with a TOPSIS score of 0.5897 while the worst technology per the analysis in this study is electrochemical chloride removal with a TOPSIS score of 0.2355.

Suggested Citation

  • Precious Chisom Jumbo-Egwurugwu & Franklin Okoro & Ibe Emmanuel & Obo-Obaa Elera Njiran, 2022. "Technical Evaluation of Cathodic Protection of Subsea Structures," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 9(4), pages 01-05, April.
  • Handle: RePEc:bjc:journl:v:9:y:2022:i:4:p:01-05
    as

    Download full text from publisher

    File URL: https://www.rsisinternational.org/journals/ijrsi/digital-library/volume-9-issue-4/01-05.pdf
    Download Restriction: no

    File URL: https://www.rsisinternational.org/virtual-library/papers/technical-evaluation-of-cathodic-protection-of-subsea-structures/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jang, Yun Jung & Choi, Chan Woong & Lee, Jang Ho & Kang, Ki Weon, 2015. "Development of fatigue life prediction method and effect of 10-minute mean wind speed distribution on fatigue life of small wind turbine composite blade," Renewable Energy, Elsevier, vol. 79(C), pages 187-198.
    Full references (including those not matched with items on IDEAS)

    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. Bashirzadeh Tabrizi, Amir & Whale, Jonathan & Lyons, Thomas & Urmee, Tania & Peinke, Joachim, 2017. "Modelling the structural loading of a small wind turbine at a highly turbulent site via modifications to the Kaimal turbulence spectra," Renewable Energy, Elsevier, vol. 105(C), pages 288-300.
    2. Liang Lu & Minyan Zhu & Haijun Wu & Jianzhong Wu, 2022. "A Review and Case Analysis on Biaxial Synchronous Loading Technology and Fast Moment-Matching Methods for Fatigue Tests of Wind Turbine Blades," Energies, MDPI, vol. 15(13), pages 1-34, July.
    3. Antoine Chrétien & Antoine Tahan & Philippe Cambron & Adaiton Oliveira-Filho, 2023. "Operational Wind Turbine Blade Damage Evaluation Based on 10-min SCADA and 1 Hz Data," Energies, MDPI, vol. 16(7), pages 1-18, March.
    4. Lu, Liang & Wu, Haijun & Wu, Jianzhong, 2021. "A case study for the optimization of moment-matching in wind turbine blade fatigue tests with a resonant type exciting approach," Renewable Energy, Elsevier, vol. 174(C), pages 769-785.
    5. Jianxiong Gao & Zongwen An & Haixia Kou, 2018. "Fatigue life prediction of wind turbine rotor blade composites considering the combined effects of stress amplitude and mean stress," Journal of Risk and Reliability, , vol. 232(6), pages 598-606, December.
    6. Evans, S.P. & Bradney, D.R. & Clausen, P.D., 2018. "Assessing the IEC simplified fatigue load equations for small wind turbine blades: How simple is too simple?," Renewable Energy, Elsevier, vol. 127(C), pages 24-31.
    7. Meng, Hang & Lien, Fue-Sang & Li, Li, 2018. "Elastic actuator line modelling for wake-induced fatigue analysis of horizontal axis wind turbine blade," Renewable Energy, Elsevier, vol. 116(PA), pages 423-437.
    8. Menegozzo, L. & Dal Monte, A. & Benini, E. & Benato, A., 2018. "Small wind turbines: A numerical study for aerodynamic performance assessment under gust conditions," Renewable Energy, Elsevier, vol. 121(C), pages 123-132.

    More about this item

    Statistics

    Access and download statistics

    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:bjc:journl:v:9:y:2022:i:4:p:01-05. 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: Dr. Renu Malsaria (email available below). General contact details of provider: https://rsisinternational.org/journals/ijrsi/ .

    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.