Research on the Improvement of Energy Economic Efficiency of Green Buildings Based on the SD-CWM Model

Abstract

Under the dual pressures of global climate change and environmental pollution, improving the energy - economic efficiency of green buildings is a key path to achieving the "dual carbon" goals. Aiming at the optimization of the energy - economic efficiency of green buildings, this study innovatively proposes a collaborative analysis framework based on the System Dynamics (SD) model and the Combined Weight Method (CWM). By constructing an SD model, the dynamic feedback mechanism of multiple elements in the green building energy system is revealed, and the complex trade - off relationships among energy consumption, carbon emissions, and economic returns are quantified in combination with CWM. Taking urban residential green buildings in Shandong Province as the research object, the evolution paths under high - carbon, low - carbon, and benchmark policy scenarios from 2016 to 2035 are simulated. The study finds that the intensity of policy intervention and residents' low - carbon awareness are the core factors driving the improvement of green building energy efficiency. Under the low - carbon policy scenario, the building carbon emission intensity can be reduced by 38.7%, and the economic returns can increase by 23.4% simultaneously. This study provides methodological innovation for the multi - objective collaborative optimization of green buildings and offers empirical evidence for policymakers to design carbon - emission reduction paths.