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Daylighting Performance Simulation and Optimization Design of a “Campus Living Room” Based on BIM Technology—A Case Study in a Region with Hot Summers and Cold Winters
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Daylighting Performance Simulation and Optimization Design of a “Campus Living Room” Based on BIM Technology—A Case Study in a Region with Hot Summers and Cold Winters
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Daylighting Performance Simulation and Optimization Design of a “Campus Living Room” Based on BIM Technology—A Case Study in a Region with Hot Summers and Cold Winters
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Journal Article
Daylighting Performance Simulation and Optimization Design of a “Campus Living Room” Based on BIM Technology—A Case Study in a Region with Hot Summers and Cold Winters
2025
Overview
In the context of green building development, the lighting design of campus living rooms in hot summer and cold winter areas faces the dual challenges of glare control in summer and insufficient daylight in winter. Based on BIM technology, this study uses Revit 2016 modeling and the HYBPA 2024 performance analysis platform to simulate and optimize the daylighting performance of the campus activity center of Hunan City College in multiple rounds of iterations. It is found that the traditional single large-area external window design leads to uneven lighting in 70% of the area, and the average value of the lighting coefficient is only 2.1%, which is lower than the national standard requirement of 3.3%. Through the introduction of the hybrid system of “side lighting + top light guide”, combined with adjustable inner louver shading, the optimized average value of the lighting coefficient is increased to 4.8%, the uniformity of indoor illuminance is increased from 0.35 to 0.68, the proportion of annual standard sunshine hours (≥300 lx) reaches 68.7%, and the energy consumption of the artificial lighting is reduced by 27.3%. Dynamic simulation shows that the uncomfortable glare index at noon on the summer solstice is reduced from 30.2 to 22.7, which meets the visual comfort requirements. The study confirms that the BIM-driven “static-dynamic” simulation coupling method can effectively address climate adaptability issues. However, it has limitations such as insufficient integration with international healthy building standards, insufficient accuracy of meteorological data, and simplification of indoor dynamic shading factors. Future research can focus on improving meteorological data accuracy, incorporating indoor dynamic factors, and exploring intelligent daylighting systems to deepen and expand the method, promote the integration of cross-standard evaluation systems, and provide a technical pathway for healthy lighting environment design in summer-hot and winter-cold regions.
