Study on the Influence and Optimization of Skylight Daylighting Spatial Form on Light and Thermal Performance in Shallow Buried Subway Stations: A Case Study of Shanghai

The rapid development of urban subway network is prompting higher requirements for daylighting in subway stations. The skylight daylighting space of shallow buried subway stations not only improves the quality of light environment but also brings challenges for the optimization of light and thermal performance, especially in areas with hot summers and cold winters. In this paper, key parameters such as illumination, air temperature, and the black sphere temperature of skylight and artificial lighting areas at stations A and B in Shanghai were tested with a field test system. The results show that the light environment in the skylight areas was significantly improved, but the need for regulation and control of the thermal environment increased. Combined with response surface analysis, 10 sample models for two types of daylighting space (partitioned and open atrium styles) were studied and constructed, including 254 simulated working conditions. The results reveal that design parameters such as the number, aspect ratio, depth of light openings, and skylight angle have significant effects on combined energy consumption. The decentralized double slope roof daylighting space has the best performance in partitioned and open atrium-style public areas, and combined energy consumption can be reduced to 385.14 kWh/m2. The optimization strategies proposed in this study can provide a quantitative basis for the skylight design of shallow buried subway stations and an important reference for the design of low-carbon and energy-saving underground spaces.

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Publication Details

Journal
Buildings
Published
2025-06-02
DOI
https://doi.org/10.3390/buildings15111926
Citations
2
Primary Topic
Building Energy and Comfort Optimization
Type
article
Field-Weighted Citation Impact
2.01
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article

Study on the Influence and Optimization of Skylight Daylighting Spatial Form on Light and Thermal Performance in Shallow Buried Subway Stations: A Case Study of Shanghai

Bo Sun, Yidong Chen, Xinyu Liu, Xiang Ji et al.
2 citations
Buildings
Building Energy and Comfort Optimization
2.01
article

Study on the Influence and Optimization of Skylight Daylighting Spatial Form on Light and Thermal Performance in Shallow Buried Subway Stations: A Case Study of Shanghai

Bo Sun, Yidong Chen, Xinyu Liu, Xiang Ji, Chen Hua, Hong Zhang
article en
2 citations

Abstract

The rapid development of urban subway network is prompting higher requirements for daylighting in subway stations. The skylight daylighting space of shallow buried subway stations not only improves the quality of light environment but also brings challenges for the optimization of light and thermal performance, especially in areas with hot summers and cold winters. In this paper, key parameters such as illumination, air temperature, and the black sphere temperature of skylight and artificial lighting areas at stations A and B in Shanghai were tested with a field test system. The results show that the light environment in the skylight areas was significantly improved, but the need for regulation and control of the thermal environment increased. Combined with response surface analysis, 10 sample models for two types of daylighting space (partitioned and open atrium styles) were studied and constructed, including 254 simulated working conditions. The results reveal that design parameters such as the number, aspect ratio, depth of light openings, and skylight angle have significant effects on combined energy consumption. The decentralized double slope roof daylighting space has the best performance in partitioned and open atrium-style public areas, and combined energy consumption can be reduced to 385.14 kWh/m2. The optimization strategies proposed in this study can provide a quantitative basis for the skylight design of shallow buried subway stations and an important reference for the design of low-carbon and energy-saving underground spaces.

BuildingsVol. 15(11)
Jiangsu Normal University (CN), China University of Mining and Technology (CN), Southeast University (CN)
Openalex Percentile: Top 14%
Building Energy and Comfort Optimization
2.01
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