• Title/Summary/Keyword: ASHRAE Bin method

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Analysis of South Korea Outdoor Design Temperature with respect to Assigned Period of the Weather Data (기상 데이터 산정 기간에 따른 국내의 설계용 외기온도 분석)

  • Nam, A Young;Kim, Young Il;Chung, Kwang Seop
    • Journal of the Korean Society for Geothermal and Hydrothermal Energy
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    • v.13 no.2
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    • pp.1-8
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    • 2017
  • Outdoor design temperature is important for selecting proper capacity of heating and cooling systems of a building to implement indoor thermal comfort and save energy consumption. The purpose of this study is to investigate the change of South Korea outdoor design temperature according to the assigned period. When outdoor design temperature of 8 locations calculated with the latest weather data during 2008~2015 years using ASHRAE Bin method are compared to the standard temperature of Ministry of Land, Infrastructure and Transport which is widely used for designing South Korea air-conditioning system at present, the maximum temperature difference becomes $0.97^{\circ}C$ for cooling, and $1.94^{\circ}C$ for heating. Due to wide outdoor temperature variation, update of outdoor design temperature based on recent weather data is recommended.

A Comparison of the ASHRAE Simplified Energy Analysis Procedure with the HASP/ACLD Results (간이 에너지 계산법과 동적 열부하 계산법의 비교 연구)

  • Kim, D.C.;Choi, J.H.;Won, Y.S.
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.1 no.3
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    • pp.210-218
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    • 1989
  • The ASHRAE Simplified Energy Analysis Procedure using the Modified Bin Method(SEAP) is compared with the hourly calculation program, HASP/ACLD. The HASP/ACLD model office building with VAV system in Seoul is used as the basis for comparison. And the parameters considered are glass to wall area ratio and internal heat gains. The results show that SEAP predictions of annual energy use agree with HASP/ACLD predictions within 5% deviation. But there is a large difference in cooling and heating energy as glass to wall area ratio is varied. The SEAP cooling energy is 65-85% and the heating energy is 104-160% of the HASP/ACLD results. This is probably due to the solar heat gain data. the data related to the SEAP must be developed prior to use it.

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