Simulation-driven optimization identifies strategies to balance carbon emissions and indoor comfort in office buildings, suggesting practical solutions for healthy environments.
Key Points
This research aims to optimize decarbonization efforts while maintaining thermal comfort in office buildings.
Utilized a simulation-driven multi-strategy optimization framework.
Integrated EnergyPlus, jEPlus+EA, and NSGA-II algorithm.
Evaluated impacts of various HVAC strategies and temperature differences on carbon emissions and comfort.
Identified night ventilation temperature turn-on difference as the most critical parameter affecting emissions and comfort.
Achieved a carbon footprint of approximately 477 tCO2 with only 8.8% indoor discomfort hours.
Found standardized regression coefficients of 0.7456 for carbon emissions and 0.5325 for thermal discomfort.