Enhancing building energy efficiency with thermal mass optimization

• This study analyzes component thermal behavior in relation to building schedules. • This study quantitatively examines the spatiotemporal behavior of thermal mass. • Thermal mass can have negative impacts if not aligned with demand cycles. • Novel strategies align component heat storage cycles with building demands. • Urban thermal mass stores substantial energy with high potential for further use. High-density urban buildings contain substantial thermal mass, storing significant energy and offering notable potential for heating energy savings. However, effectively harnessing this energy remains challenging due to the spatiotemporal variability of heat storage–release behavior in building components, which often misaligns with building operational demands. This study reveals that thermal mass tends to store heat when it is not needed and release it when buildings do not require it, especially in cities where some buildings are only occupied during the day and others at night. To address these challenges, this study proposes a novel thermal mass arrangement strategy, derived from extensive real-world data analysis. Significant variations in component thermal behavior across different operational schedules were first identified from data collected in 76 rooms. Subsequently, key factors influencing these variations were pinpointed using stepwise linear regression, informing optimization strategies developed through simulations. These strategies were then validated in cold regions using conduction transfer function models (error margin of 3.6%), which confirmed their year-round effectiveness for both individual buildings with distinct occupancy patterns and groups of buildings. The results demonstrate that optimizing thermal mass arrangements tailored to specific building schedules can significantly enhance energy efficiency. Contrary to prior research advocating for the sole increase in thermal mass, this study indicates that without strategic guidelines, such measures may exacerbate thermal utilization inefficiencies, complementing existing research on thermal storage materials in buildings. Reducing excess heat storage is shown to be beneficial for daytime-use buildings, while nighttime-use buildings benefit from storing heat for evening use. Adjusting the quantity and orientation of thermal mass, alongside optimizing operational schedules, achieves 4-12% energy savings, with greater benefits in high-solar-radiation areas.

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Publication Details

Journal
Advances in Applied Energy
Published
2025-05-18
DOI
https://doi.org/10.1016/j.adapen.2025.100224
Citations
3
Primary Topic
Building Energy and Comfort Optimization
Type
article
Field-Weighted Citation Impact
3.02

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article

Enhancing building energy efficiency with thermal mass optimization

Zhengyu He, Yingkai Lian, Yuqiu Liu, Jiajia Feng et al.
3 citations
Advances in Applied Energy
Building Energy and Comfort Optimization
3.02
article

Enhancing building energy efficiency with thermal mass optimization

Zhengyu He, Yingkai Lian, Yuqiu Liu, Jiajia Feng, Chaohong Wang, Zhengnan Zhou, Shuangdui Wu, Yichen Han
article en
3 citations

Abstract

• This study analyzes component thermal behavior in relation to building schedules. • This study quantitatively examines the spatiotemporal behavior of thermal mass. • Thermal mass can have negative impacts if not aligned with demand cycles. • Novel strategies align component heat storage cycles with building demands. • Urban thermal mass stores substantial energy with high potential for further use. High-density urban buildings contain substantial thermal mass, storing significant energy and offering notable potential for heating energy savings. However, effectively harnessing this energy remains challenging due to the spatiotemporal variability of heat storage–release behavior in building components, which often misaligns with building operational demands. This study reveals that thermal mass tends to store heat when it is not needed and release it when buildings do not require it, especially in cities where some buildings are only occupied during the day and others at night. To address these challenges, this study proposes a novel thermal mass arrangement strategy, derived from extensive real-world data analysis. Significant variations in component thermal behavior across different operational schedules were first identified from data collected in 76 rooms. Subsequently, key factors influencing these variations were pinpointed using stepwise linear regression, informing optimization strategies developed through simulations. These strategies were then validated in cold regions using conduction transfer function models (error margin of 3.6%), which confirmed their year-round effectiveness for both individual buildings with distinct occupancy patterns and groups of buildings. The results demonstrate that optimizing thermal mass arrangements tailored to specific building schedules can significantly enhance energy efficiency. Contrary to prior research advocating for the sole increase in thermal mass, this study indicates that without strategic guidelines, such measures may exacerbate thermal utilization inefficiencies, complementing existing research on thermal storage materials in buildings. Reducing excess heat storage is shown to be beneficial for daytime-use buildings, while nighttime-use buildings benefit from storing heat for evening use. Adjusting the quantity and orientation of thermal mass, alongside optimizing operational schedules, achieves 4-12% energy savings, with greater benefits in high-solar-radiation areas.

Advances in Applied EnergyVol. 18
Tsinghua University (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 10%
Building Energy and Comfort Optimization
3.02
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