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Development of Comfort Control Logic for VRF System in Summer Season by using 3 Environment Factors(Temperature, Humidity and Air flow)

온도, 습도, 기류를 이용한 하절기 VRF 시스템의 쾌적 제어 알고리즘 개발

  • Kim, Jong-Min (Korea Atomic Energy Research Institute) ;
  • Choi, Jae-Boong (School of Mechanical Engineering, Sungkyunkwan University) ;
  • Lee, Sang-Won (School of Mechanical Engineering, Sungkyunkwan University) ;
  • Cho, Doo-Ho (School of Mechanical Engineering, Sungkyunkwan University) ;
  • Lee, Pil-Ho (School of Mechanical Engineering, Sungkyunkwan University) ;
  • Kim, Young-Jin (School of Mechanical Engineering, Sungkyunkwan University)
  • Received : 2011.03.03
  • Accepted : 2011.08.18
  • Published : 2011.09.10

Abstract

This paper investigates the simplified comfort index and control logic for VRF (Variable Refrigerant Flow) system by using 3 environmental factors such as temperature, humidity and air flow. Indoor test under thermal load was conducted to explore relationship of each environment factors that is related to simplified comfort index. Simplified comfort function that has 3 environmental variables was proposed based on survey results. Each factor is measured and comfort preference was surveyed by more than 30 subjects in the indoor comfort test. Moreover, control logic for VRF system was developed and then simulated by using thermal load calculation method and verified with test. The proposed comfort function was in good agreement with survey results, and also verification test trend of comfort change and maintenance are quite similar with survey. Furthermore, through the additional test data analysis some differences of comfort according to position of people staying in the test room were additionally investigated by air flow. People being under an exit of air in the indoor air-conditioner feel more comfortable condition and speed of response to comfort change is relatively fast.

Keywords

Acknowledgement

Supported by : 교육과학기술부

References

  1. ISO 7730, 1984, Moderate thermal environments -determination of the PMV and PPD indices and specification of the conditions for thermal comfort, ISO.
  2. Gagge, A. P., Fobbelets, A. and Berglund, L. G., 1986, A standard predictive index of human response to the thermal environment, ASHRAE Transactions, Vol. 9, No. 2B, pp. 709-731.
  3. Fanger, P. O., 1970, Thermal comfort, Copenhagen, Danish technical press.
  4. Fanger, P. O., 2002, Extention of the PMV model to non-air-conditioned buildings in warm climates, Energy and Buildings, Vol. 34, pp. 533-536. https://doi.org/10.1016/S0378-7788(02)00003-8
  5. Lee, J. W., 2002, The recent trend in personal comfort control, Journal of KSLES, Vol. 9, No. 3, pp. 221-225.
  6. Shin, K. S. and Kyong, N. H., 2001, The thermal environment and comfort in the space of person based air-conditioning system, KOSEE Conference, pp. 237-242.
  7. Lee, S. W., Kim, J. M., Yeum, S. W., Cho, D. G., Kim, S. W., and Choi, J. B., 2008, A study on characteristics of indoor-air-quality in interior space equipped with system air-conditioner, Journal of SAREK, Vol. 9, No. 5, pp. 304-313.
  8. Sung, T. J., 1998, Understanding and application of modern basic statistics, Kyoyookbook, p. 111.
  9. Anderson, M. J. and Whitcomb, P. J., 2005, RSM simplified:optimizing processes using response surface methods for design of experiments, Productivity press.