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Architecture & Urban Research Institute

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³í¹®¸í Ç¥ÁØ³â ¹× ´Ù³âÀ» ÀÌ¿ëÇÑ °Ç¹°¿¡³ÊÁö ½Ã¹Ä·¹ÀÌ¼Ç / Building energy simulation using multi-years and Typical Weather data (TWD) in South Korea / Æ÷½ºÅÍ ¼¼¼Ç P-1~P-29
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¼ö·Ï»çÇ× Çѱ¹Å¾翡³ÊÁöÇÐȸ Ãá°èÇмú¹ßǥȸ ³í¹®Áý (2014-03)
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ÁÖÁ¦¾î ¿¡³ÊÁö ½Ã¹Ä·¹ÀÌ¼Ç ; ISO TRY ; CIBSE TRY ; TMY ; Energy Simulation ; Test Reference Year ; CIBSE TRY ; Typical Meteorological Year
¿ä¾à2 Computer simulation of buildings and solar energy systems is being used increasingly in energy assessments and design. Simulation often requires hourly weather data. Typical weather data (TWD) consists of 8760 values of various selected meteorological parameters such as ambient temperature, solar radiation, relative humidity and wind velocity and are originally derived from long-term data. In this paper, TWDs have been generated, using three different methodologies, from hourly meteorological data measured in Seoul, Deajeon and Busan. The primary aim was to compare the simulation results from the three methodologies (ISO Test Reference Year (ISO TRY), CIBSE Test Reference Year (CIBSE TRY) and Typical Meteorological Year (TMY)) with those from individual years and their long term means. Five important components of the building envelope (wall-window ratio, window overhang, window transmissivity, window U value and wall U value) were varied to investigate the influence on heating and cooling load. Results of the comparison show that predicted monthly load and energy consumption profiles from the TWD tended to follow the long term mean quite closely. The maximum deviation between the TWDs was approximately 6%. The load calculations vary almost linearly as the building envelope components varied apart from the window U-value. The yearly average values of mean bias error (MBE) and root mean squared error (RMSE) for the heating and cooling loads were evaluated for the three TWDs and long-term measured meteorological data
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