IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v230y2021ics0360544221008835.html
   My bibliography  Save this article

Achieving 50% weight reduction of offshore steam bottoming cycles

Author

Listed:
  • Mazzetti, Marit J.
  • Hagen, Brede A.L.
  • Skaugen, Geir
  • Lindqvist, Karl
  • Lundberg, Steinar
  • Kristensen, Oddrun A.

Abstract

Adding a bottoming cycle to the gas turbines powering offshore oil and gas production plants allows additional power to be produced from recovered excess heat. Hence, the power demand of the platform can be met by burning less natural gas, and the CO2 emissions reduced by up to 25%. However, the weight of the current bottoming cycles must come down to enable widespread implementation. This work presents a thorough weight minimization of a steam bottoming cycle utilizing gas turbine exhaust heat. Unconventional, but feasible designs of heat exchangers, ductwork and structural components are considered along with materials switching. Overall weight reductions of 38% and 52% were achieved for a 16 MW and a 12 MW offshore bottoming cycle respectively when compared to a 16 MW reference system. Key factors in achieving the weight reduction were the use of small steam generator tubes with an inner diameter of only 10 mm, improved condenser design and the use of aluminium structural framework replacing steel. By more than halving the weight of the bottoming cycle, it's implementation potential on offshore platforms has been greatly improved and can move the oil and gas industry towards significantly reduced CO2 emissions.

Suggested Citation

  • Mazzetti, Marit J. & Hagen, Brede A.L. & Skaugen, Geir & Lindqvist, Karl & Lundberg, Steinar & Kristensen, Oddrun A., 2021. "Achieving 50% weight reduction of offshore steam bottoming cycles," Energy, Elsevier, vol. 230(C).
  • Handle: RePEc:eee:energy:v:230:y:2021:i:c:s0360544221008835
    DOI: 10.1016/j.energy.2021.120634
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544221008835
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2021.120634?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. Rezaie, Ali & Tsatsaronis, George & Hellwig, Udo, 2019. "Thermal design and optimization of a heat recovery steam generator in a combined-cycle power plant by applying a genetic algorithm," Energy, Elsevier, vol. 168(C), pages 346-357.
    2. Manassaldi, Juan I. & Mussati, Sergio F. & Scenna, Nicolás J., 2011. "Optimal synthesis and design of Heat Recovery Steam Generation (HRSG) via mathematical programming," Energy, Elsevier, vol. 36(1), pages 475-485.
    3. Nord, Lars O. & Martelli, Emanuele & Bolland, Olav, 2014. "Weight and power optimization of steam bottoming cycle for offshore oil and gas installations," Energy, Elsevier, vol. 76(C), pages 891-898.
    4. Franco, Alessandro & Giannini, Nicola, 2006. "A general method for the optimum design of heat recovery steam generators," Energy, Elsevier, vol. 31(15), pages 3342-3361.
    5. Mehrgoo, Morteza & Amidpour, Majid, 2017. "Constructal design and optimization of a dual pressure heat recovery steam generator," Energy, Elsevier, vol. 124(C), pages 87-99.
    6. Pierobon, L. & Benato, A. & Scolari, E. & Haglind, F. & Stoppato, A., 2014. "Waste heat recovery technologies for offshore platforms," Applied Energy, Elsevier, vol. 136(C), pages 228-241.
    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. M. Montañés, Rubén & Hagen, Brede & Deng, Han & Skaugen, Geir & Morin, Nicolas & Andersen, Marius & J. Mazzetti, Marit, 2023. "Design optimization of compact gas turbine and steam combined cycles for combined heat and power production in a FPSO system–A case study," Energy, Elsevier, vol. 282(C).

    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. Deng, Han & Skaugen, Geir & Næss, Erling & Zhang, Mingjie & Øiseth, Ole A., 2021. "A novel methodology for design optimization of heat recovery steam generators with flow-induced vibration analysis," Energy, Elsevier, vol. 226(C).
    2. Vidoza, Jorge A. & Andreasen, Jesper Graa & Haglind, Fredrik & dos Reis, Max M.L. & Gallo, Waldyr, 2019. "Design and optimization of power hubs for Brazilian off-shore oil production units," Energy, Elsevier, vol. 176(C), pages 656-666.
    3. Luca Riboldi & Lars O. Nord, 2017. "Lifetime Assessment of Combined Cycles for Cogeneration of Power and Heat in Offshore Oil and Gas Installations," Energies, MDPI, vol. 10(6), pages 1-23, May.
    4. Youcef Redjeb & Khatima Kaabeche-Djerafi & Anna Stoppato & Alberto Benato, 2021. "The IRC-PD Tool: A Code to Design Steam and Organic Waste Heat Recovery Units," Energies, MDPI, vol. 14(18), pages 1-37, September.
    5. Luca Riboldi & Steve Völler & Magnus Korpås & Lars O. Nord, 2019. "An Integrated Assessment of the Environmental and Economic Impact of Offshore Oil Platform Electrification," Energies, MDPI, vol. 12(11), pages 1-21, June.
    6. Mehrgoo, Morteza & Amidpour, Majid, 2017. "Constructal design and optimization of a dual pressure heat recovery steam generator," Energy, Elsevier, vol. 124(C), pages 87-99.
    7. Zhang, Jianyun & Liu, Pei & Zhou, Zhe & Ma, Linwei & Li, Zheng & Ni, Weidou, 2014. "A mixed-integer nonlinear programming approach to the optimal design of heat network in a polygeneration energy system," Applied Energy, Elsevier, vol. 114(C), pages 146-154.
    8. Rivera-Alvarez, Alejandro & Coleman, Michael J. & Ordonez, Juan C., 2015. "Ship weight reduction and efficiency enhancement through combined power cycles," Energy, Elsevier, vol. 93(P1), pages 521-533.
    9. Rezaie, Ali & Tsatsaronis, George & Hellwig, Udo, 2019. "Thermal design and optimization of a heat recovery steam generator in a combined-cycle power plant by applying a genetic algorithm," Energy, Elsevier, vol. 168(C), pages 346-357.
    10. Roberto Pili & Hartmut Spliethoff & Christoph Wieland, 2017. "Dynamic Simulation of an Organic Rankine Cycle—Detailed Model of a Kettle Boiler," Energies, MDPI, vol. 10(4), pages 1-28, April.
    11. Martelli, Emanuele & Freschini, Marco & Zatti, Matteo, 2020. "Optimization of renewable energy subsidy and carbon tax for multi energy systems using bilevel programming," Applied Energy, Elsevier, vol. 267(C).
    12. Benato, Alberto & Stoppato, Anna, 2018. "Heat transfer fluid and material selection for an innovative Pumped Thermal Electricity Storage system," Energy, Elsevier, vol. 147(C), pages 155-168.
    13. Wu, Zhixiang & Feng, Huijun & Chen, Lingen & Xie, Zhuojun & Cai, Cunguang, 2019. "Pumping power minimization of an evaporator in ocean thermal energy conversion system based on constructal theory," Energy, Elsevier, vol. 181(C), pages 974-984.
    14. Huijun Feng & Wei Tang & Lingen Chen & Junchao Shi & Zhixiang Wu, 2021. "Multi-Objective Constructal Optimization for Marine Condensers," Energies, MDPI, vol. 14(17), pages 1-18, September.
    15. Pan, Jeng-Shyang & Hu, Pei & Chu, Shu-Chuan, 2021. "Binary fish migration optimization for solving unit commitment," Energy, Elsevier, vol. 226(C).
    16. Pezzuolo, Alex & Benato, Alberto & Stoppato, Anna & Mirandola, Alberto, 2016. "The ORC-PD: A versatile tool for fluid selection and Organic Rankine Cycle unit design," Energy, Elsevier, vol. 102(C), pages 605-620.
    17. Yang, Fubin & Cho, Heejin & Zhang, Hongguang & Zhang, Jian, 2017. "Thermoeconomic multi-objective optimization of a dual loop organic Rankine cycle (ORC) for CNG engine waste heat recovery," Applied Energy, Elsevier, vol. 205(C), pages 1100-1118.
    18. Osman Özkaraca & Pınar Keçebaş & Cihan Demircan & Ali Keçebaş, 2017. "Thermodynamic Optimization of a Geothermal- Based Organic Rankine Cycle System Using an Artificial Bee Colony Algorithm," Energies, MDPI, vol. 10(11), pages 1-28, October.
    19. Diban, Pitchaimuthu & Foo, Dominic C.Y., 2018. "Targeting and design of heating utility system for offshore platform," Energy, Elsevier, vol. 146(C), pages 98-111.
    20. Brodrick, Philip G. & Brandt, Adam R. & Durlofsky, Louis J., 2018. "Optimal design and operation of integrated solar combined cycles under emissions intensity constraints," Applied Energy, Elsevier, vol. 226(C), pages 979-990.

    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:eee:energy:v:230:y:2021:i:c:s0360544221008835. 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.journals.elsevier.com/energy .

    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.