Author(s): Camila Torres

Abstract: Passive design strategies (PDS) play a crucial role in enhancing building energy efficiency, reducing environmental impacts, and achieving economic savings. This study evaluates the cost-benefit ratio (CBR) of PDS using a Weighted Least Squares (WLS) analysis, addressing gaps in existing methods that fail to account for data variability. The primary objectives were to identify key cost and benefit components of PDS, develop a robust WLS-based framework for economic assessment, and compare the efficacy of different strategies across diverse building typologies and climatic zones. Data for the study were sourced from case studies, published reports, and meteorological databases, encompassing various strategies such as passive cooling, thermal insulation, natural ventilation, and daylighting. Climatic factors, including temperature, humidity, and solar irradiance, were integrated into the analysis to evaluate regional differences. WLS was employed to account for heteroscedasticity in the data, ensuring reliable performance predictions. Results demonstrated that residential buildings had the highest average CBR (2.75 ± 0.58 SD), followed by commercial and institutional buildings. Tropical climates yielded the highest CBR (3.10 ± 0.62 SD), while arid zones showed lower performance (1.95 ± 0.70 SD). Among strategies, thermal insulation consistently outperformed others, with a mean CBR of 3.25 ± 0.45 SD. Statistical tests, including ANOVA and multiple regression analysis, confirmed the significance of these findings and highlighted the influence of climatic parameters on PDS performance. The study concludes that PDS are economically and environmentally viable, particularly in tropical climates and residential buildings. Practical recommendations include regional customization, integration with active systems, and policy support for wider adoption. Future research should explore qualitative benefits, technological advancements, and long-term performance monitoring to refine PDS implementation frameworks.

Pages: 9-13 | Views: 64 | Downloads: 32

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