Sensitivity Analysis and Multi-optimization on Building Performance in Tube-Style Dwellings in the Rural Area of Northern Zhejiang Province

Abstract

Due to the rapid development of rural tourism in China, more and more ordinary rural buildings renovate into rural tourism buildings. Taking the typical tube-style dwellings in the rural area of northern Zhejiang Province as a case, the factors affecting the building performance and the optimal renovation strategies are systematically analyzed and obtained. First, field survey is carried out and reveals that the electricity consumption of rural tourism buildings is large and the requirement of indoor thermal comfort is high. Then, the benchmark model is built and validated, and the parameters from three aspects: building, personnel use characteristics, lighting, and equipment are set for further simulation. Second, standardized regression coefficient algorithm, a global sensitivity analysis method is used to analyze the sensitivity of each factor, and the key parameters affecting building performance are identified. Third, multi-optimization simulation for cool electricity consumption and annual discomfort hours is carried out. Finally, 22 Pareto front solution sets are generated, and the optimal renovation solutions are sorted.