대한공간정보학회지 (Journal of Korean Society for Geospatial Information Science)

  • 제21권1호
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  • Pages.27-37
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  • 2013
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  • 1598-2955(pISSN)
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  • 2287-6693(eISSN)
대한공간정보학회 (Korea Spatial Information Society)
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원격 열화상을 이용한 지붕색상별 겨울철 표면온도 변화추세 비교 평가

Evaluating Changing Trends of Surface Temperature in Winter according to Rooftop Color using Remotely Sensed Thermal Infrared Image

  • Ryu, Taek Hyoung (Dept. of Spatial Information Science, Kyungpook National University) ;
  • Um, Jung Sup (Dept. of Geography, Kyungpook National University)
  • 투고 : 2013.02.01
  • 심사 : 2013.03.26
  • 발행 : 2013.03.31
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초록

원격 열화상으로 관측된 지붕표면 온도 분포 자료를 활용하여 쿨루프(Cool Roof)에 기인한 겨울철 난방부하에 대한 근거 자료를 확보하는 것이 본 연구의 목적이다. 원격 열화상은 지붕색상(흰색, 검은색, 청색, 녹색)에 따른 지붕표면 온도의 광역 분포패턴을 가시적으로 제시하였는데, 이는 사람의 눈으로 볼 수 있는 범위에 국한된 데이터만을 제시하는 현지조사와는 확연히 다른 특성을 보여주었다. 겨울철에 높은 태양 반사율을 갖는 쿨루프의 표면 온도는 일반 지붕에 비해 $3^{\circ}C{\sim}9^{\circ}C$ 정도 낮은 것으로 확인되었다. 쿨루프가 여름철에 일반지붕과 비교해서 $18.4^{\circ}C$ 정도 낮은 표면온도를 보여주었기 때문에 겨울철에 쿨루프로 인해 감소된 온도가 여름철에 비해 현격하게 낮아 쿨루프가 한국의 기후조건에서 상당한 잠재력이 있다는 것이 확인되었다. 본 연구는 원격 열화상을 이용하여 광역 열분포를 정량적으로 제시하였기 때문에 쿨루프로 인한 겨울철 난방 부하를 객관적으로 검증하는 과정에서 중요한 참고 자료로 사용될 수 있을 것이다.

A roof surface temperature monitoring, utilizing remotely sensed thermal infrared image has been specifically proposed to explore evidential data for heating load in winter by cool roof. The remotely sensed thermal infrared image made it possible to identify area-wide patterns of changing trends of surface temperature according to rooftop color (white, black, blue, green) which cannot be acquired by traditional field sampling. The temperature difference of cool roof having a higher solar reflectance were ranged from $3^{\circ}C$ up to $9^{\circ}C$, compared to the general roofs. It is confirmed that there is a significant potential to the energy saving by introducing the cool roof in a Korean climate since up to $18.46^{\circ}C$ difference in cool roof, compared to the general roofs in summer were already identified in Seoul, South Korea. It is anticipated that this research output could be used as a valuable reference in identifying heating load in winter by cool roof since an objective monitoring has been proposed based on the area-wide measured, fully quantitative performance of remotely sensed thermal infrared image.

키워드

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  2. 대학 캠퍼스의 쿨표면 비율 비교평가: 경북대학교와 UC Davis를 사례로 vol.15, pp.1, 2013, https://doi.org/10.12813/kieae.2015.15.1.117
  3. Evaluation of Applicability of Various Color Space Techniques of UAV Images for Evaluating Cool Roof Performance vol.13, pp.16, 2013, https://doi.org/10.3390/en13164213