IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i9p3814-d1387583.html
   My bibliography  Save this article

An Engine-Level Safety Assessment Approach of Sustainable Aviation Fuel Based on a Multi-Fidelity Aerodynamic Model

Author

Listed:
  • Shuiting Ding

    (Research Institute of Aero-Engine, Beihang University, Beijing 100191, China
    Civil Aviation University of China, Tianjin 300300, China)

  • Qinglin Ma

    (School of Energy and Power Engineering, Beihang University, Beijing 100191, China)

  • Tian Qiu

    (Research Institute of Aero-Engine, Beihang University, Beijing 100191, China)

  • Chenyu Gan

    (School of Energy and Power Engineering, Beihang University, Beijing 100191, China)

  • Xinming Wang

    (Research Institute of Aero-Engine, Beihang University, Beijing 100191, China)

Abstract

Safety is essential for sustainable aviation fuels (SAFs). However, evaluating SAFs’ impacts on aero-engine safety is challenging because it involves multiple space scales and the strongly coupled relationships of aero-engine components. Aiming at addressing this problem, a model-based approach is proposed to establish the relationship between the fuel-level physical properties and engine-level safety parameters. Firstly, a unified modeling criterion is proposed to consider the interrelations of aero-engine components. Under this criterion, aero-engine secondary air system (SAS) components are included in SAF safety assessment, since they have non-neglectable influences on aero-engine safety. Secondly, this paper proposes a surrogate-based iteration strategy to embed the combustor’s high-dimensional computational fluid dynamics (CFD) model into the aero-engine flow network model. Then, the proposed model-based safety assessment approach is applied to a Fischer–Tropsch hydro-processed synthesized paraffinic kerosine (F-T SPK) safety assessment case. The effects of fuel flow and blending ratio are considered. The results indicate the necessity to evaluate SAFs’ safety at the aero-engine level and consider the influences of SAS components. The proposed model-based approach may provide a preliminary screening before SAFs’ certification tests. This convenience may be beneficial for reducing the cost and accelerating SAFs’ application.

Suggested Citation

  • Shuiting Ding & Qinglin Ma & Tian Qiu & Chenyu Gan & Xinming Wang, 2024. "An Engine-Level Safety Assessment Approach of Sustainable Aviation Fuel Based on a Multi-Fidelity Aerodynamic Model," Sustainability, MDPI, vol. 16(9), pages 1-15, May.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:9:p:3814-:d:1387583
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/9/3814/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/9/3814/
    Download Restriction: no
    ---><---

    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:gam:jsusta:v:16:y:2024:i:9:p:3814-:d:1387583. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.