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The atrium, as the core space of modern university libraries, is crucial for providing ample natural lighting and creating a comfortable spatial experience. It is also key to achieving the building’s green and low-carbon goals. However, designing the atrium of a university library faces a significant challenge: finding the right balance between ensuring good natural lighting and effectively reducing the energy consumption of the air conditioning system. This study aims to explore this balance and provide architects with various feasible design schemes. Firstly, a parametric typical model of the atrium space was established by researching 36 university libraries. Based on the Grasshopper platform in Rhino, the typical model was simulated for natural lighting and energy consumption, and the Wallacei plugin was used to couple the optimization parameters of the typical model with the optimization target parameters. The multi-objective optimization experiment of the typical model was carried out with the objectives of maximizing spatial daylight autonomy and the percentage of useful daylight illuminance, as well as minimizing air conditioning energy consumption. The experiment generated 2000 optimization solutions, and the analysis of the historical solution set revealed the complex non-linear relationship between optimization parameters and performance indicators. Moreover, three Pareto optimal solutions were selected as representative design schemes, providing valuable references for architects when designing the spatial form of the atrium.
Bai et al. (Fri,) studied this question.