研究目的
To examine how the lighting colour temperature affects indoor thermal comfort and to explore the possibility of reducing energy consumption in HVAC systems through smart synergy with lighting installations.
研究成果
The study confirms that lighting colour temperature significantly influences indoor thermal perception, with cold light (11,530 K) allowing an air temperature increase of up to 1.25°C without altering thermal comfort, compared to 0.46°C for neutral and 0.23°C for warm light. This suggests potential energy savings in HVAC systems by adjusting lighting colour temperature seasonally. Gender had a stronger influence than lighting, and the PMV model showed better predictive accuracy for neutral light. Limitations include the experimental setup and exposure duration, indicating need for further research in varied conditions.
研究不足
The study is limited by the specific lighting colour temperatures chosen (11,530 K, 4,000 K, 1,772 K), the 30-minute exposure time which may lead to chromatic adaptation, the experimental facility context potentially causing psychological bias, and the focus on a single air temperature (22°C) in a workplace setting. Future work could explore a narrower range of colour temperatures, prolonged exposures, and seasonal variations.
1：Experimental Design and Method Selection:
A test room with three separate environments was set up, each with a different LED lamp colour temperature (11,530 K, 4,000 K, 1,772 K) to simulate cold, neutral, and warm light. The study used a field survey approach with questionnaires based on ISO 10551 to assess thermal comfort, and statistical analyses (Friedman test, Wilcoxon Signed-Rank test, partial F test, t statistic) were employed to evaluate the influence of lighting colour temperature.
2：Sample Selection and Data Sources:
42 unpaid volunteers (24 men, 18 women, aged 19-33) were selected. Their colour perception was assessed using Ishihara pseudo-isochromatic plates, and metabolic rates were calculated based on personal data (weight, height, activity).
3：List of Experimental Equipment and Materials:
LED lamps with specified colour temperatures, lux meter for illuminance measurement, PT 100 platinum thermoresistance for air temperature, globethermometer for globe temperature, forced ventilation psychrometer for relative humidity, hot wire anemometer for air velocity, microclimate control unit for data logging, and questionnaires.
4：Experimental Procedures and Operational Workflow:
Participants wore standard clothing, acclimatized for 15 minutes, and were exposed to each light type for 30 minutes in a balanced order, with 10-minute neutral light intervals to neutralize colour impressions. They filled questionnaires before and after exposure, and environmental variables were monitored continuously.
5：Data Analysis Methods:
Data were analyzed using statistical tests (Friedman, Wilcoxon Signed-Rank, partial F, t statistic) and PMV calculations via Rayman software. Cross-tabulation analysis compared subjective votes with PMV predictions.
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