Estimation of radiative heat transfer using a geometric human model

Area of Science:

• Thermal Physics
• Human Physiology
• Computational Modeling

Background:

• Accurate estimation of radiative heat transfer is crucial for understanding human thermal comfort and physiological responses.
• Existing models often simplify human geometry, potentially limiting the precision of heat transfer calculations.
• Environmental factors significantly influence heat exchange with the human body.

Purpose of the Study:

• To develop a detailed geometric model of the human form for precise radiative heat transfer estimation.
• To create an algorithm capable of calculating radiative heat transfer between the human body and its environment.
• To analyze how body shape and posture affect radiative heat transfer distribution.

Main Methods:

• Development of a detailed geometric human model composed of small quadrilateral surfaces.
• Implementation of an algorithm to efficiently detect obstructions between surface pairs for angle factor calculation.
• Calculation of angle factors specific to radiative heat transfer between body segments and the environment.

Main Results:

• The geometric model accurately represents human body shape.
• The algorithm efficiently determines surface-to-surface interactions, enabling accurate angle factor computation.
• The study demonstrates that radiative heat transfer rates vary with body shape and posture, providing detailed distribution insights.

Conclusions:

• The developed geometric model and algorithm provide a robust method for estimating human radiative heat transfer.
• This approach allows for a more nuanced understanding of how body morphology and posture influence thermal exchange.
• The findings have implications for thermal comfort research, environmental control, and ergonomic design.