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³í¹®¸í °Ç¹° ¼º´ÉµðÀÚÀÎÀ» À§ÇÑ ¹Ì±âÈÄ ±â¹Ý ±â»óµ¥ÀÌÅÍÀÇ ±âÁ¸ ±â»óµ¥ÀÌÅÍ¿Í ºñ±³¸¦ ÅëÇÑ È°¿ë °¡´É¼º ¿¬±¸ / A study on Applicability through Comparison of Weather Data based on Micro-climate with existing Weather Data for Building Performative Design
ÀúÀÚ¸í ±è¾ð¿ë½Äº°ÀúÀÚ ; ÀüÇÑÁ¾½Äº°ÀúÀÚ
¹ßÇà»ç Çѱ¹»ýÅÂȯ°æ°ÇÃàÇÐȸ
¼ö·Ï»çÇ× Çѱ¹»ýÅÂȯ°æ°ÇÃàÇÐȸ ³í¹®Áý, v.11 n.6(Åë±Ç 52È£) (2011-12)
ÆäÀÌÁö ½ÃÀÛÆäÀÌÁö(101) ÃÑÆäÀÌÁö(8)
ISSN 15983730
ÁÖÁ¦ºÐ·ù ȯ°æ¹×¼³ºñ
ÁÖÁ¦¾î ±â»ó µ¥ÀÌÅÍ ; ¹Ì±âÈÄ ; ¼º´É µðÀÚÀÎ ; °Ç¹° ¿¡³ÊÁö ½Ã¹Ä·¹ÀÌ¼Ç ; Weather data ; Micro-climate ; Performative design ; Building energy simulation
¿ä¾à2 The weather data has important role for performative building design. If the data location is close to building site, the result of performative design can be accurate. The data which have used nowadays in Korea are from U.S. Department of Energy (DOE) and Korea Solar Energy Society (KSES) but they cover only several locations in Korea which are 4 in DOE and 11 in KSES and there are opinions which it could be served building design efficiently even if the data are not enough. However the weather data for micro-climate are exist which are Green Building Studio Virtual Weather Station (GBS VWS) and Meteonorm weather data. Each weather data has different generation methods which are TMY2, TRY, MM5, and extrapolation. In this research, the weather date for climate are compared with DOE and KSES to check correlation. The result shows the value of correlation in Dry Bulb Temp. and Dew Point Temp. is around 0.9 so they have high correlation in both but in Wind Speed case the correlation(around 0.2) is not exist. In overall result, the data has correlation with DOE and KSES as the value of correlation 0.648 of GBS VW and 0.656 of Meteonorm. Even if the correlation value is not high enough, the patterns of difference in each weather element are similar in scatter plot.
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