DOI QR코드

DOI QR Code

Comparative Evaluation of Surface Temperature among Rooftop Colors of Flat Roof Building Models : Towards Performance Evaluation of Cool Roof

평지붕 건물 축소모형의 지붕색에 대한 표면 온도의 비교평가: 쿨루프 성능평가 차원에서

  • Received : 2013.10.08
  • Accepted : 2013.12.03
  • Published : 2013.12.31

Abstract

Cool roofs are currently being emerged as one of important mechanism to save energy in relation to the building. It is specifically proposed that the changing trends of rooftop surface temperature in the flat roof building model could be used effectively as an indicator to reduced cooling load reduced by cool roof since it can present stable temperature record, that is not influenced according to the nearby physical as well as human variables. The temperature of cool roof in summer was lower around $20^{\circ}C$, compared to the general roofs. Such a seasonal or daily comparative study for rooftop temperature in the building model will highlight that the cool roof efficiency could be calculated in much area-wide context according to rooftop color distribution in urban residential area. It is anticipated that this research output could be used as a valuable reference in identifying energy saving by cool roof since an objective monitoring has been proposed based on the rooftop temperature in the building model, fully quantitative performance of thermal infrared image.

Keywords

References

  1. 최진호, 엄정섭, "해외 사례분석을 통한 Cool Roof의 도입 방안", 2010, 환경영향평가. 19(6), p. 591-605 / (Choijinho, Umjungsup, Introducing strategy of cool roofs based on comparative evaluation of foreign cases, Journal of Environmental Impact Assessment, 2010, 19(6), p. 591-605)
  2. Gu L, Cummings JE, Swami MV, Fairey P, Awwad S. Comparison of dust system computer models that could provide input to the thermal distribution standard method(SPC-152P), 1996, FSEC -CR-929-96.
  3. Akbari H, Konopacki S. Energy effects of heat-island reduction strategies in Toronto, Canada, Energy 2004, 29, pp. 191-210. https://doi.org/10.1016/j.energy.2003.09.004
  4. Akbari H. Cool roofs save energy, ASHRAE Transactions, 1998, 104, 1B, p. 783-788.
  5. Konopacki S, Akbari H. Simulated Impact of Roof Surface Solar Absorptance, Attic, and Duct Insulation on Coolingand Heating Energy Use in Single-Family New Residential Buildings, 1998, LBNL-41834, Lawrence Berkeley National Laboratory,Berkeley, CA.
  6. Hildebrandt E, Bos W, Moore R. Assessing the impacts of white roofs on building energy loads, ASHRAE Technical Data Bulletin, American Society of Heating, Refrigerating and Air-Conditioning Engineers, Atlanta, GA, 1998, 14(2), p. 28-36.
  7. Konopacki S, Akbari H. Measured Energy Savings and Demand Reduction from a Reflective Roof Membrane on a Large Retail Store in Austin, LBNL-47149, Lawrence Berkeley National Laboratory, Berkeley, CA,2001.
  8. Bohm B, Danig PO. Monitoring the energy consumption in a district heated apartment building in copenhagen, with specific interest in the thermodynamic performance, Energy and Buildings, 2004, 36(3), p. 229-236. https://doi.org/10.1016/j.enbuild.2003.11.006
  9. 장윤성, 엄창득, 박준호, 이전제, 박주생, 여환명, "적외선 열화상과 온도차비율법을 이용한 목조 주택의 열환경평가", 목재공학, 2010, 38(6), p. 518-525 / (Jangyunsung, Umchangdeuk, Parkjunho, Leejeonje, Parkjusaeng, Yeohwanmyung, Thermal environment evaluation of wooden house using infra-red thermal image and temperature difference ratio(TDR), The korean society of wood science technology, 2010, 38(6), p. 518-525)
  10. 기상청, 2012 / (KMA, 2012, Korea Meteorological Administration), http://www.kma.go.kr/
  11. Synnefa A, Santamouris M. Advances on technical, policy and market aspects of cool roof technology in Europe: The Cool Roofs project, Energy and Buildings, 2012, 55, p. 35-41. https://doi.org/10.1016/j.enbuild.2011.11.051
  12. Levinson R, Akbari H, Reilly J. Cooler tile-roofed buildings with near-infrared-reflective non-white coatings, Building and Environment, 2007, 42, p. 2591-2605. https://doi.org/10.1016/j.buildenv.2006.06.005
  13. 김 옥, "Cool Roof 시스템의 성능기준 및 설계지침에 관한 연구", 2010, 박사학위 논문 / (Kimok, A study on the performance standards and design guidelines of cool roof system, 2010, Thesis, Chung-ang University)

Cited by

  1. Performance evaluation strategy for cool roof based on pixel dependent variable in multiple spatial regressions vol.25, pp.2, 2017, https://doi.org/10.1007/s41324-017-0099-1