Thermal Comfort Assessment
Thermal Comfort Assessment and Prediction · Also known as: thermal comfort evaluation, adaptive comfort model, PMV-PPD analysis
Thermal Comfort Assessment is a method for evaluating indoor environmental conditions to predict whether occupants will feel thermally comfortable. Pioneered by Povl Ole Fanger in the 1970s, it combines measurements of air temperature, humidity, air speed, and thermal properties of clothing and activity to determine comfort zones and identify remedial actions.
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When to use it
Apply thermal comfort assessment to evaluate building designs (will occupants be comfortable?), to set HVAC operating parameters, to diagnose complaints in existing buildings, and to evaluate energy-saving strategies that may sacrifice comfort. The choice of model (PMV vs. Adaptive) depends on whether the space has air conditioning or natural ventilation.
Strengths & limitations
- Provides quantitative prediction of comfort; distinguishes between acceptable and unacceptable conditions
- Comprehensive: accounts for temperature, humidity, air speed, and radiation—not just air temperature
- Applicable across diverse climates and building types through appropriate model selection
- Guides HVAC control strategy; identifies cost-effective adjustments to improve comfort without oversizing equipment
- Adaptive comfort models recognize that occupants in naturally ventilated buildings accept wider temperature ranges
- PMV is based on laboratory studies of sedentary people in controlled clothing; real workplaces and homes have greater diversity
- Assumes steady-state conditions; transient discomfort (draft, sudden temperature change) is not captured by steady-state models
- Individual variation is large; the same conditions satisfy 80% of occupants but dissatisfy 20%
- Requires detailed input data (humidity, radiant temperature, clothing, activity) that is often not available or not stable over time
Frequently asked
Why do some people in the same office feel hot while others feel cold?
Individual differences in metabolism, clothing, work activity, and physiology create comfort variation. Additionally, air distribution is often uneven; some desks are in drafty areas while others are in warm pockets. Assessment at individual workstations reveals these spatial variations.
Can I use PMV-PPD in a naturally ventilated (non-air-conditioned) office?
PMV-PPD assumes air conditioning and sedentary work. For naturally ventilated buildings, use the Adaptive Comfort Model instead, which recognizes that occupants adjust clothing and behavior. Adaptive model permits wider temperature ranges and correlates better with field observations of satisfaction.
If I set the thermostat to 22°C, am I assured all occupants will be comfortable?
No. At any temperature, approximately 10-20% of occupants will be dissatisfied due to individual differences. Comfort assessment identifies the temperature range (typically 20-23°C for sedentary office work) that satisfies 80%. Individual control (personal heating/cooling, clothing adjustment) further improves satisfaction.
How do clothing and activity level affect comfort temperature?
More insulating clothing shifts the comfort temperature down (fewer layers means higher preferred temperature). Higher activity (exercise, physical work) increases metabolic heat and shifts comfort temperature down significantly (a person exercising feels comfortable at cooler temperatures than a sedentary person).
Sources
- Fanger, P. O. (1972). Thermal Comfort: Analysis and Applications in Environmental Engineering. Danish Technical Press, Copenhagen. link ↗
- Dearlove, J., Kharade, M. K., Datta, S. (2012). Survey of Comfort and Thermal Preferences in Mixed-Mode Buildings. Proceedings of the 10th International Conference on Healthy Buildings. link ↗
- Nicol, J. F., Humphreys, M. A. (2002). Adaptive Thermal Comfort and Sustainable Thermal Standards for Buildings. Energy and Buildings, 34(6), 563-572. DOI: 10.1016/S0378-7788(02)00006-3 ↗
How to cite this page
ScholarGate. (2026, June 3). Thermal Comfort Assessment and Prediction. ScholarGate. https://scholargate.app/en/architecture/thermal-comfort-assessment
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