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The Environmental Sustainability Study of an Airport Building System Based on an Integrated LCA-Embodied Energy (Emergy)-ANN Analysis

Author

Listed:
  • Fei Xie

    (School of Architecture, Sanjiang University, Nanjing 210012, China)

  • Junxue Zhang

    (School of Civil Engineering and Architecture, Jiangsu University of Science and Technology, Zhenjiang 212100, China)

  • Guodong Wu

    (School of Architecture, Soochow University, Suzhou 215123, China)

  • Chunxia Zhang

    (School of Art and Design, Yangzhou University, Yangzhou 225009, China)

  • Hechi Wang

    (School of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan 430068, China)

Abstract

From a global perspective, the ecological sustainability of building systems has always been a hot research topic, especially in China, where the annual amount of new construction is nearly half of the world. The difficulty is making a complete and accurate ecological assessment of the building system. This study has designed and adopted the LCA-Emergy-ANN framework to assess and analyze an airport building system for sustainability. The results demonstrate that building material emergy and operational stage emergy play a critical role and account for 92.4% of the entire emergy, which are the primary contributors. As the vital indicator, the emergy sustainability index (ESI) is 0.669, which is unsustainable (The eligibility standard is 1). Simultaneously, to ensure the accuracy of the data results, sensitivity analysis was performed. The artificial neural network (ANN) was used by integrating the LCA method and emergy approach to predict the sustainability trend in the long run. In the end, the optimization strategy is proposed to enhance the sustainability of the building system.

Suggested Citation

  • Fei Xie & Junxue Zhang & Guodong Wu & Chunxia Zhang & Hechi Wang, 2023. "The Environmental Sustainability Study of an Airport Building System Based on an Integrated LCA-Embodied Energy (Emergy)-ANN Analysis," Sustainability, MDPI, vol. 15(9), pages 1-19, May.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:9:p:7626-:d:1140505
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