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Related Experiment Videos

Comfort climate evaluation with thermal manikin methods and computer simulation models.

H O Nilsson1, I Holmér

  • 1National Institute for Working Life, The Climate Group, Solna, Sweden. hakan@niwl.se

Indoor Air
|March 1, 2003
PubMed
Summary
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Engineers can now better predict workplace thermal comfort using Computational Fluid Dynamics (CFD) and thermal manikin measurements. These methods visualize thermal conditions, aiding early design decisions for improved occupant comfort and productivity.

Area of Science:

  • Building science and environmental engineering.
  • Human thermal comfort and perception.
  • Indoor environmental quality assessment.

Background:

  • Modern workplaces require acceptable environmental conditions for occupant well-being.
  • Thermal sensation is significantly influenced by environmental and air movement factors in workplaces.
  • Accurate prediction of thermal perception is crucial during the construction phase.

Purpose of the Study:

  • To investigate the predictive capability of Computational Fluid Dynamics (CFD) and thermal manikin measurements for perceived thermal climate.
  • To visualize the thermal situation in a workplace by linking human thermal sensation with calculations and measurements.
  • To assess the agreement between numerical/experimental methods and real-world measurements.

Main Methods:

Related Experiment Videos

  • Full-scale measurements in a workplace environment.
  • Numerical calculations using Computational Fluid Dynamics (CFD).
  • Measurements using a thermal manikin to simulate human thermal sensation.

Main Results:

  • Demonstrated relatively good agreement between CFD calculations, thermal manikin measurements, and real-world environmental data.
  • Successfully visualized the thermal situation by integrating human thermal sensation data with computational and measurement results.
  • Highlighted the need for further development of numerical and experimental methods.

Conclusions:

  • CFD and thermal manikin methods show promise for predicting perceived thermal climate in workplaces.
  • These evaluation methods can empower engineers to make informed decisions early in the design process.
  • Improved prediction of thermal comfort can lead to enhanced occupant comfort, health, and productivity.