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Modular optimization method for prefabricated energy diaphragm walls with economy as an optimization indicator

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  • Cui, Hongzhi
  • Li, Tong
  • Xia, Changqing
  • Shi, Jiaxin
  • Bao, Xiaohua
  • Chen, Xiangsheng

Abstract

The energy diaphragm wall (EDW) offers superior heat exchange performance due to its larger soil contact area, making it a promising energy geostructure. However, traditional single-unit optimization limits adaptability to varying soil conditions and burial depths, causing inefficiencies. This study proposes a modular optimization method for prefabricated EDWs, prioritizing economic efficiency while accounting for soil temperature variations with depth and time. Heat exchange performance and environmental impacts were analyzed for single-layer soil, double-layer soil, and seepage scenarios to establish a benchmark. Subsequently, a modular optimization method for prefabricated EDWs was developed, and performance variations were assessed for tandem and parallel piping configurations. Finally, phase change concrete (PCC) was incorporated to enhance the optimization effect for walls with shallow burial depths. Results indicate that modular optimization significantly improves EDW heat exchange performance and economic and environmental benefits, with optimal results achieved under parallel piping and groundwater seepage conditions. The best economic outcomes occur at a flow rate of 0.6–0.7 m/s and pipe spacing of 0.5–0.7 m. PCC effectively enhances performance in shallow-buried applications. This modular optimization approach offers a valuable reference for future EDW design and application.

Suggested Citation

  • Cui, Hongzhi & Li, Tong & Xia, Changqing & Shi, Jiaxin & Bao, Xiaohua & Chen, Xiangsheng, 2026. "Modular optimization method for prefabricated energy diaphragm walls with economy as an optimization indicator," Renewable Energy, Elsevier, vol. 256(PA).
    • Handle: RePEc:eee:renene:v:256:y:2026:i:pa:s0960148125014910
    DOI: 10.1016/j.renene.2025.123827
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    References listed on IDEAS

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