• 제목/요약/키워드: 디그리데이 비교

검색결과 2건 처리시간 0.018초

서울지방의 표준기상데이타를 이용한 기후특성도 작성 (Climograph using Standard Weather Data of the region of Seoul)

  • 조민관
    • 설비공학논문집
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    • 제20권11호
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    • pp.752-759
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    • 2008
  • This paper is to make up the climograph using standard weather data of the region of Seoul. It is made up by existed standard weather data of which the subjected region is Seoul in order to easily use work. The factors of weather data are outside air temperature and its absolute humidity, total solar radiation, amount of clouds, wind direction, and wind velocity. The standard weather data are verified by comparing with values of the existed degree day method. As the result of their verification, the difference of the data showed less than 3% each other. And, reliability of standard weather data is thought to be same as those of degree day.

온실의 기간난방부하 산정을 위한 난방적산온도 비교분석 (Comparative Analysis of Accumulated Temperature for Seasonal Heating Load Calculation in Greenhouses)

  • 남상운;신현호;서동욱
    • 생물환경조절학회지
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    • 제23권3호
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    • pp.192-198
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    • 2014
  • To establish the design criteria for seasonal heating load calculation in greenhouses, standard weather data are required. However, they are being provided only at seven regions in Korea. So, instead of using standard weather data, in order to find the method to build design weather data for seasonal heating load calculation, heating degree-hour and heating degree-day were analyzed and compared by methods of fundamental equation, Mihara's equation and modified Mihara's equation using normal and thirty years from 1981 to 2010 hourly weather data provided by KMA and standard weather data provided by KSES. Average heating degree-hours calculated by fundamental equation using thirty years hourly weather data showed a good agreement with them using standard weather data. The 24 times of heating degree-day showed relatively big differences with heating degree-hour at the low setting temperature. Therefore, the heating degree-hour was considered more appropriate method to estimate the seasonal heating load. And to conclude, in regions which are not available standard weather data, we suggest that design weather data should be analyzed using thirty years hourly weather data. Average of heating degree-hours derived from every year hourly weather data during the whole period can be established as environmental design standards, and also minimum and maximum of them can be used as reference data for energy estimation.