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June 3, 2026Buildings0 citationsOpen Access

Investigation on Adaptive Building Shape Design Indicator Based on the Interaction of Building, Climate and Energy

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JJJikang JiaLPLi PuYJYinghui Jiao

Key Points

  • This research aims to develop a new building shape indicator that better reflects energy efficiency by accounting for transparent building envelopes.
  • Introduced the building shape energy-saving coefficient (E) and the transparent envelope equivalent coefficient (Ci).
  • Conducted numerical simulations to assess how climate conditions and building orientation influence Ci.
  • Calculated E values and compared correlations with traditional shape coefficients and air conditioning energy consumption.
  • The coefficient of determination between E and air conditioning energy consumption exceeds 0.80.
  • E demonstrates a predictive capability superior to the traditional shape coefficient for energy consumption.
  • Reference Ci values for different orientations in typical cities were provided.

Abstract

The building shape coefficient is an important metric in building design and energy analysis for describing the geometric compactness of a building. However, the conventional shape coefficient neglects the beneficial contribution of transparent building envelopes in utilizing solar radiation. To address this limitation, this study proposes a novel indicator, the building shape energy-saving coefficient (E), which accounts for the thermal performance differences between transparent and non-transparent building envelopes. A key intermediate parameter in the development of this indicator is the transparent envelope equivalent coefficient (Ci). Numerical simulation results indicate that climate conditions and building orientation are the primary factors influencing Ci. Based on these results, reference Ci values for different orientations of linear buildings in typical cities are provided. Subsequently, the corresponding E values are calculated, and the correlations between E, the traditional shape coefficient, and building air conditioning energy consumption are systematically compared. The results show that the coefficient of determination between E and air conditioning energy consumption exceeds 0.80, significantly higher than that between the traditional shape coefficient and energy consumption, demonstrating the improved predictive capability of the proposed indicator.

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Cite This Study

Jia et al. (2026) studied this question.

synapsesocial.com/papers/6a1fc6cddee9eb8c0dce7be6https://doi.org/10.3390/buildings16112209
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