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A Case Study of Human Thermal Sensation (Comfort) in Plastic Houses

온실시설내 인간 열환경지수(열쾌적성)에 대한 사례연구

  • Jung, Leeweon (Graduate School of Horticultural Science, College of Applied Life Science, Jeju National University) ;
  • Jin, Younghwan (Graduate School of Horticultural Science, College of Applied Life Science, Jeju National University) ;
  • Jeun, Yoona (Graduate School of Horticultural Science, College of Applied Life Science, Jeju National University) ;
  • Ko, Kyuman (Graduate School of Horticultural Science, College of Applied Life Science, Jeju National University) ;
  • Park, Hyungwook (Graduate School of Horticultural Science, College of Applied Life Science, Jeju National University) ;
  • Park, Sookuk (Research Institute for Subtropical Agriculture and Animal Biotechnology, SARI, Horticultural Science, College of Applied Life Science, Jeju National University)
  • 정이원 (제주대학교 생명자원과학대학 원예학과 대학원) ;
  • 진영환 (제주대학교 생명자원과학대학 원예학과 대학원) ;
  • 전윤아 (제주대학교 생명자원과학대학 원예학과 대학원) ;
  • 고규만 (제주대학교 생명자원과학대학 원예학과 대학원) ;
  • 박형욱 (제주대학교 생명자원과학대학 원예학과 대학원) ;
  • 박수국 (제주대학교 생명자원과학대학 생물산업학부 원예환경전공)
  • Received : 2016.05.25
  • Accepted : 2016.08.10
  • Published : 2016.08.31

Abstract

To analyze human thermal environments in protected horticultural houses (plastic houses), human thermal sensations estimated using measured microclimatic data (air temperature, humidity, wind speed, and solar and terrestrial radiation) were compared between an outdoor area and two indoor plastic houses, a polyethylene (PE) house and a polycarbonate (PC) house. Measurements were carried out during the daytime in autumn, a transient season that exhibits human thermal environments ranging from neutral to very hot. The mean air temperature and absolute humidity of the houses were $14.6-16.8^{\circ}C$ (max. 22. $3^{\circ}C$) and $7.0-12.0g{\cdot}m^{-3}$ higher than those of the outdoor area, respectively. Solar (K) and terrestrial (L) radiation were compared directionally from the sky hemisphere (${\downarrow}$) and the ground hemisphere (${\uparrow}$). The mean $K{\downarrow}$ and $K{\uparrow}$ values for the houses were respectively $232.5-367.8W{\cdot}m^{-2}$ and $44.9-55.7W;{\cdot}m^{-2}$ lower than those in the outdoor area; the mean $L{\downarrow}$ and $L{\uparrow}$ values were respectively $150.4-182.3W{\cdot}m^{-2}$ and $30.5-33.9W{\cdot}m^{-2}$ higher than those in the outdoor area. Thus, L was revealed to be more influential on the greenhouse effect in the houses than K. Consequently, mean radiant temperature in the houses was higher than the outdoor area during the daytime from 10:45 to 14:15. As a result, mean human thermal sensation values in the PMV, PET, and UTCI of the houses were respectively $3.2-3.4^{\circ}C$ (max. $4.7^{\circ}C$), $15.2-16.4^{\circ}C$ (max. $23.7^{\circ}C$) and $13.6-15.4^{\circ}C$ (max. $22.3^{\circ}C$) higher than those in the outdoor area. The heat stress levels that were influenced by human thermal sensation were much higher in the houses (between hot and very hot) than in the outdoor (between neutral and warm). Further, the microclimatic component that most affected the human thermal sensation in the houses was air temperature that was primarily influenced by $L{\downarrow}$. Therefore, workers in the plastic houses could experience strong heat stresses, equal to hot or higher, when air temperature rose over $22^{\circ}C$ on clear autumn days.

Keywords

Human thermal sensation;Human thermal comfort;Microclimate;Plastic house;Green house;Vinyl house

Acknowledgement

Supported by : Jeju National University

References

  1. Brode, P., Fiala, D., Blazejczyk, K., Holmer, I., Jendritzky, G., Kampmann, B., Tinz, B., Havenith, G., 2012a, Deriving the operational procedure for the universal thermal climate index (UTCI), International Journal of Biometeorology, 56, 481-494. https://doi.org/10.1007/s00484-011-0454-1
  2. Brode, P., Kruger, E. L., Rossi, F. A., Fiala, D., 2012b, Predicting urban outdoor thermal comfort by the universal thermal climate index UTCI-a case study in Southern Brazil, International Journal of Biometeorology, 56, 471-480. https://doi.org/10.1007/s00484-011-0452-3
  3. Choi, J. W., Kim, M. J., Lee, J. Y., 2002, Evaluation of the farmers' workload and thermal environments during cucumber harvest in the greenhouse, Journal of the Korean Society of Living Environmental System, 9(3), 245-253.
  4. Choi, M. K., Shin, Y. S., Yun, S. W., Kim, H. T., Yoon, Y. C., 2013, Analysis of surplus solar energy in venlo type greenhouse, Protected Horticulture and Plant Factory, 22(2), 91-99. https://doi.org/10.12791/KSBEC.2013.22.2.091
  5. Chung, T. S., Min, Y. B., Moon, G. K., 2001, Temperature control of greenhouse using ventilation window adjustments by a fuzzy algorithm, Journal of Bio-Environment Control, 10(1), 43-49.
  6. Environment Canada, 2001, http://ec.gc.ca/meteo-weather/default.asp?lang=En&n=5FBF816A-1 (Nov. 17, 2015 checked).
  7. Fanger, P. O., 1972, Thermal Comfort: Analysis and Applications in Environmental Engineering, McGraw-Hill, New York.
  8. Ha, J. S., Lee, I. B., Kwon, K. S., Ha, T. H., 2014, Analysis on internal airflow of a naturally ventilated greenhouse using wind tunnel and PIV for CFD validation, Protected Horticulture and Plant Factory, 23(4), 391-400. https://doi.org/10.12791/KSBEC.2014.23.4.391
  9. Hong, S. W., Lee, I. B., 2014, Predictive model of micro-environment in a naturally ventilated greenhouse for a model-based control approach, Protected Horticulture and Plant Factory, 23(3), 181-191. https://doi.org/10.12791/KSBEC.2014.23.3.181
  10. Hoppe, P. R., 1993, Heat balance modeling, Experientia, 49, 741-746. https://doi.org/10.1007/BF01923542
  11. Hoppe, P. R., 1999, The physiological equivalent temperature-a universal index for the biometeorological assessment of the thermal environment, International Journal of Biometeorology, 43, 71-75. https://doi.org/10.1007/s004840050118
  12. Kim, S. J., Na, S. Y., 2007, A study on the thermal environment in the multipurpose greenhouse in winter, Journal of the Korean Solar Energy Society, 27(3), 15-21.
  13. Matzarakis, A., Mayer, H., Iziomon, M. G., 1999, Applications of a universal thermal index: Physiological equivalent temperature, International Journal of Biometeorology, 43, 76-84. https://doi.org/10.1007/s004840050119
  14. Moon, W., Lee, Y. B., Son, J. E., 2014, Protected horticulture, Korea National Open University Press.
  15. Myung, J. Y., Shim, H. S., Choi, J. W., 1993, A study on development of work wear for the plastic house workers, Journal of the Korean Society of Clothing and Textiles, 17(1), 19-35.
  16. Park, S., 2011, Human-Urban Radiation Exchange Simulation Model, PhD Dissertation, University of Victoria, Victoria, B.C., Canada.
  17. Siple, P. A., Passel, C. F., 1945, Measurements of dry atmospheric cooling in subfreezing temperatures, Proceedings of the American Philosophical Society, 89, 177-199.
  18. Statistics Korea, 2000, http://kosis.kr/statHtml/statHtml.do?orgId=101&tblId=DT_1NH1016 &conn_path=I3 (Dec. 7, 2015 checked).
  19. Statistics Korea, 2010, http://kosis.kr/statHtml/statHtml.do?orgId=101&tblId=DT_1AG1016&conn_path=I3# (Dec. 7, 2015 checked).
  20. Statistics Korea, 2014, http://kosis.kr/statHtml/statHtml.do?orgId=101&tblId=DT_1EB001&conn_path=I3 (Dec. 7, 2015 checked).
  21. Statistics Korea, 2015, http://kosis.kr/statHtml/statHtml.do?orgId=101&tblId=DT_1ET0017&conn_path=I3# (Dec. 7, 2015 checked).
  22. Thom, E. C., 1959, The discomfort index, Weatherwise, 12, 57-60. https://doi.org/10.1080/00431672.1959.9926960