Energy-saving retrofitting of traditional dwellings in the Hehuang region via multiobjective optimization

Introduction Energy consumption and indoor thermal comfort are critical issues in building design, especially in regions with harsh climates. In rural areas, traditional dwellings face challenges in managing heating demands and maintaining comfort during winter. This study proposes a multi-objective optimization strategy to improve energy efficiency and thermal comfort in these buildings. Methods Using the Non-dominated Sorting Genetic Algorithm II (NSGA-II) and EnergyPlus simulations, the study optimizes key design parameters such as roof insulation, wall insulation, and window thermal transmittance. Results The findings highlight the importance of selecting appropriate insulation materials and their optimal thicknesses to balance energy savings and comfort. The results provide practical insights for energy-saving retrofits in cold, dry climates, offering a cost-effective and scientifically validated approach for enhancing building performance. Discussion As rural communities, including those in the Hehuang region, face increasing natural disasters, this research provides timely guidance for building designs that improve resilience and sustainability.