ID: 2061
Presenting Author: Chenning Deng
Session: 630 - SEA for industrial zones:technological exploration and practical innovation
Status: pending
This study proposes a novel MFA-LCA integrated framework that transforms industrial park planning assessment into a dynamic decision-support tool for proactive environmental optimization.
Conventional environmental assessment methods for industrial park planning are often constrained by their static and isolated nature, failing to quantify the metabolic behavior of parks as complex systems or to prospectively evaluate the life-cycle environmental implications of alternative planning scenarios. To address this methodological gap, this study proposes an innovative integrated decision-support framework that couples Material Flow Analysis with Life Cycle Assessment. The framework involves developing a parameterized MFA model to dynamically simulate the metabolic pathways of key resources under various planning scenarios. The resulting dynamic material flow data then serve as the inventory basis for conducting a prospective LCA, quantifying potential environmental impacts of different scenarios. A conceptual case study of an eco-industrial park demonstrates the framework's capability to uncover nonlinear effects overlooked in static analyses and to identify critical decision-leverage points for green technology and infrastructure planning. The primary contribution of this research lies in establishing an operational closed-loop integration of MFA and LCA, thereby transforming planning environmental assessment from a static compliance tool into a dynamic, anticipatory mechanism for proactive optimization toward sustainable and low-carbon industrial parks.
Deng Chenning, Associate Researcher at CRAES, focuses on environmental systems. He has authored 50+ publications, 2 books, and received provincial scientific awards.