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

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