IDEAS home Printed from https://ideas.repec.org/a/oup/ijlctc/v20y2025ip1242-1255..html

Optimizing sustainable retrofit strategies for a heritage complex through multiobjective optimization and Space Syntax analysis: a Suzhou case study

Author

Listed:
  • Qi Xu
  • Shihao Zhang
  • Saffa Riffat

Abstract

This study addresses the sustainable retrofitting of heritage buildings, balancing modern efficiency with heritage preservation. Using a Suzhou case study, this research integrates multiobjective optimization and Space Syntax analysis to tailor sustainable retrofit strategies for a heritage complex. The framework balances energy efficiency, historical value, and architectural integrity by customizing measures for individual buildings. The proposed solution reduces energy consumption by up to 37% with lower negative historic impacts and initial costs compared with solutions proposed by conventional optimization methods. These results demonstrate that advanced optimization combined with spatial analysis provides a robust, quantitative basis for harmonizing energy performance with heritage conservation.

Suggested Citation

  • Qi Xu & Shihao Zhang & Saffa Riffat, 2025. "Optimizing sustainable retrofit strategies for a heritage complex through multiobjective optimization and Space Syntax analysis: a Suzhou case study," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 20, pages 1242-1255.
  • Handle: RePEc:oup:ijlctc:v:20:y:2025:i::p:1242-1255.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/ijlct/ctaf078
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:oup:ijlctc:v:20:y:2025:i::p:1242-1255.. 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: Oxford University Press (email available below). General contact details of provider: https://academic.oup.com/ijlct .

    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.