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Este estudio analiza la influencia de diferentes configuraciones de protecciones solares perforadas (PSP) en las condiciones anuales de iluminación natural expresadas mediante la métrica dinámica basada en clima: Iluminación Natural Útil (UDI). El diseño de PSP requiere estudios paramétricos que son a menudo complejos y requieren demasiado tiempo de simulación computacional. Por tanto, se plantea una metodología para optimizar el diseño de las PSP mediante la aplicación del “Diseño de Experimentos con Arreglos Ortogonales (DOA)”. El objetivo es evaluar el efecto y la relevancia que las siguientes variables de diseño de las PSP tienen en la iluminación natural: porcentaje de perforación (PP), matriz (M), forma (F) y orientación (O). La metodología propuesta es aplicada al caso de estudio de Sevilla, España. Los resultados del DOA indican que los valores óptimos para cada variable son: PP 25–37.5 %, M 12x48, F hexagonal/circular, O: norte. Con estos valores se diseñan PSP que maximizan las iluminancias útiles en un 13.08 % y minimizan las iluminancias excesivas en un 33.78 %, respecto al modelo de referencia sin PSP. La aplicación del DOA permite reducir el número de simulaciones, y/o combinaciones de las variables, de 256 requeridas a 16. Finalmente, la PSP óptima es simulada para verificar los resultados del DOA, confirmándose su efectividad y, por tanto, la validez de la metodología propuesta., This paper analyses the influence of different perforated solar screens (PSP) in annual daylight conditions expressed using the climate-based daylight metric: Useful Daylight Illuminance (UDI). The PSP design requires parametric studies that are often complex and time consuming due to a large number of simulations. Hence, a new methodology is proposed to optimize PSP design by applying Design of Experiments using Orthogonal Arrays (DOA). The aim is to assess the effect of the following PSP design variables in daylighting performance: perforation percentage (PP), matrix (M), shape (S) and orientation (O). A case study from the DOA perspective has been conducted, which involves an office space in Seville, Spain. DOA results reveal that optimized levels to design PSP are PP 25-–37.5 %, M 12x48, F Hexagonal/Circular, O: North. These levels increase the useful illuminances in 13.08 % and reduce the excessive illuminances in 33.78 %, in comparison with a reference model with no PSP. DOA method reduces the number of simulations from the 256 required to 16, so it could save time during the initial stages of building design. Finally, optimal PSP is simulated to verify the DOA results, confirming its efficacy ant the validity of the proposed methodology.

This paper analyses the influence of different perforated solar screens (PSS) in annual daylight conditions expressed using climate-based daylight metrics. The PSS design require parametric studies that are often complex and time consuming due to a large number of simulations. Hence, a new methodology is proposed to optimize PSS design by applying Design of Experiments using Orthogonal Arrays (DOA). A case study from the DOA perspective has been conducted, which involves an office space in Seville, Spain. The goal is to assess the effect of the following PSS design variables in daylighting performance: perforation percentage, matrix, shape and orientation. DOA results reveal that optimized PSS can increase daylit area by 33% and reduce over lit area by 35%, compared with reference models with no PSS. DOA method reduces the number of simulations from the 256 required to 16, so it could save time during the initial stages of building design.

On fully-glazed building façades perforated solar screens (PSS) are often used as an outer skin in order to reduce energy consumption and to solve issues such as visual appearance. However, not only must PSS control solar radiation but they must also provide adequate daylight levels, thus requiring a balanced solution. Currently, daylighting simulation software enables us to perform efficient daylight analysis of spaces with PSS. Notwithstanding this, current energy simulation software such as EnergyPlus cannot deal well with such geometry directly, making the thermal evaluation of PSS an infeasible task. This paper presents a methodology for achieving an integrated analysis of daylighting and energy consumption of spaces with PSS during the design stage. Such methodology provides daylight analysis through DIVA, and thermal analysis through EnergyPlus via DIVA/Grasshopper/Archsim. The aim is to optimise the dual performance of a balanced PSS solution through controlling its perforation percentage, matrix and shape, by using the orthogonal arrays (DOA) statistical method. DOA method is efficient in reducing the number of simulations derived from the combination of the aforementioned variables, and in identifying the optimal PSS configuration. In comparison to a non-optimised façade located in Seville, Spain, the predicted optimal PSS achieved a 50% increase in the actual daylit area and a 55% reduction in the total energy demand.