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A Study on the Indoor Comfort Control By Smart Comfort Algorithm
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  • Journal title : Journal of IKEEE
  • Volume 19, Issue 4,  2015, pp.603-609
  • Publisher : Institude of Korean Electrical and Electronics Engineers
  • DOI : 10.7471/ikeee.2015.19.4.603
 Title & Authors
A Study on the Indoor Comfort Control By Smart Comfort Algorithm
Yoon, Seok-Am; Lee, Jeong-Il;
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Thermal comfort is one of the fundamental aspects of indoor environmental quality and it is strongly related to occupant satisfaction and energy used in building. In this paper, we proposes smart comfort algorithm that save energy and provide a pleasant and comfortable environment for workers by the indoor comfort conditions(Predictive Mean Vote) detection and controlling the temperature and humidity, air flow. Simulation results, heating and cooling control of the thermal comfort control can be compared with the existing general air conditioners reduces the power of 0.5kW and indoor comfort can be maintained. Also, It showed a 49.2% improvement in the light by lighting control algorithm.
Thermal Comfort;Predictive Mean Vote;Temperature;Relative Humidity;Dimming;
 Cited by
Nam-Chul Seong, Dong-Won Yoon, "An Approach of Indoor thermal Environment Control and Energy Saving Using the PMV Index", LHI Journal, 2010.

Ham,Won-Ta,"A Study on Energy Savings Analysis by Controling LED Lighting", KSES, 2012.

ASHRAE Standard 55-2004, Thermal Environmental Conditions for Human Occupancy.

ISO(International Organization for Standardization), Moderate Thermal Environments - Determination of the PMV and PPD Indices and Specification of the Conditions for Thermal Comfort, ISO 7730, 1984.

ISO 7243, Hot environments - Estimation of the heat stress on working man, based on the WBGT index (wet bulb globe temperature).

ISO 7726, Thermal environments - Instruments and methods for measuring physical quantities.

ISO 7933, Hot environments - Analytical determination and interpretation of thermal stress based on the calculation of required sweat rate.