Research on Time-Dynamic Operation Characterization of Energy Efficiency and Decarbonation of Green Building based on SD

This study employs a System Dynamics (SD) model to investigate energy efficiency and carbon mitigation strategies during the operational phase of university public buildings, with particular attention to long-term climate change and the evolving nature of policy, technology, and user behavior. Through multi-scenario simulation across extended time horizons, the model captures the dynamic feedback mechanisms among decarbonized energy structures, building envelope improvements, renewable energy adoption, and behavioral responses. Results show that reducing the carbon emission factor of the power grid can decrease operational carbon emissions by 19.4%, while improving energy intensity through technological optimization yields a 10% reduction in energy consumption. When these strategies are implemented in combination, a 36.4% reduction in emissions and a 19.3% decline in energy use can be achieved, highlighting the cumulative effect of integrated interventions over time. The study reveals how interactive and time-sensitive variables respond to long-term climate stressors, offering a system-level understanding of operational carbon dynamics in public buildings. Furthermore, the model provides insights into how adaptive strategies evolve under delayed policy impacts and resource limitations. This research not only contributes methodological depth to scenario-based modeling for climate-responsive building management but also delivers data-driven support and strategic guidance for integrating energy-saving practices into both the design and operational stages of green buildings, reinforcing the alignment between building performance optimization and sustainable development goals.