December 5, 2025BuildingsOpen Access

Spatial Performance Optimization of High-Altitude Residential Buildings Based on the Thermal Buffer Effect: A Case Study of New-Type Vernacular Housing in Lhasa

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Assessment using multi-objective optimization improved heating load in vernacular housing, suggesting enhanced thermal stability in cold climates.

Optimized housing configurations reduced heating load by up to 80%, enhancing energy performance during colder months.
The study found an increase in heating-season comfort percentage by more than 50% with spatial configuration adjustments.
Multi-objective optimization employed the NSGA-II algorithm to balance energy supply and thermal stability effectively.
Highlighting the importance of thermal buffer effect establishes a model for sustainable housing design in extreme climates.

Ma et al. (2025) studied this question.

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Assessment using multi-objective optimization improved heating load in vernacular housing, suggesting enhanced thermal stability in cold climates.