Parametric design and multi-objective optimization of daylight performance in gallery skylight systems: A case study on the high museum expansion

Abstract

In the realm of museum design, the meticulous planning of natural lighting plays a vital role in enhancing energy efficiency, improving the indoor atmosphere, and preserving and showcasing artifacts. A significant challenge is to ensure visitors' visual comfort while minimizing excessive natural light to prevent damage to exhibits. This study takes Renzo Piano's High Museum Expansion as a case study and employs the medium sensitivity exhibit standards from IESNA as the evaluation criteria. During the preliminary design phase, computer modeling was utilized, daylighting simulations were carried out using the Ladybug tool, and the Octopus genetic algorithm plugin was applied to investigate, optimize, and evaluate the performance of the point skylight system in museum interiors. The findings indicate that optimized point skylight systems not only block direct sunlight, reducing indoor glare, but also ensure that the Annual Cumulative Illuminance (ACI) on interior surfaces stays below 480,000 lx, while the annual effective Useful Daylight Illuminance (UDI) is increased to 75 %. In terms of design parameters, a skylight height of 0.6 to 0.7 m, combined with a shading panel to horizontal angle of 65 to 70 degrees, is found to be effective in enhancing indoor lighting conditions.