Journal of the Architectural Institute of Korea Planning & Design (대한건축학회논문집:계획계)

Architectural Institute of Korea (대한건축학회)
권호 표지
DOI QR코드

DOI QR Code

A Study on Evaluation of Air Management System's Cooling Efficiency for Energy Savings in High-Density Data Centers

고밀도 데이터센터의 에너지 저감을 위한 공조효율 평가방법에 관한 연구

  • 조진균 ((주)삼성물산 건설부문, 기술연구센터) ;
  • 박우평 ((주)삼성물산 건설부문, 기술연구센터, 친환경에너지팀) ;
  • 신승호 ((주)삼성물산 건설부문, 기술연구센터, 친환경에너지팀)
  • Published : 2013.06.25
⟨ Previous Next ⟩

Abstract

The goal of air management system of high-density data centers is to minimize re-circulation of hot air and minimize by-pass of cold air in the IT server room. Successfully implemented, both measures result in energy savings and better thermal conditions. Air management helps reduce operating costs by enhancing economizer utilization, improving cooling system efficiency. Metrics play an important role in providing a measure of the performance of air management systems. Performance indices include the Supply/Return Heat Index(SHI/RHI), the Rack Cooling Index(RCI) and the Return Temperature Index(RTI). CFD simulation estimates temperature, airflow in the data center and provides a wealth of information for evaluating cooling efficiency. This study describes four performance metrics for analyzing air management systems. They were computed with CFD modeling to evaluate the thermal environment in a typical data center module and 46 different design alternatives. In this paper, advanced and comprehensive evaluation index of cooling efficiency was also derived and well-crafted metrics will undoubtedly play an important role.

Keywords

References

  1. Jonathan G Koomey, Worldwide electricity used in data centers, Environmental Research Letters, 3(3), 2008
  2. Emerson Network Power, Energy logic: reducing data center energy consumption by creating savings that cascade across systems, A White Paper from the Experts in Business-Critical Continuity, 2008
  3. C.E. Bash, C.D. Patel, R.K. Sharma, Efficient Thermal Management of Data Centers-Immediate and Long-Term Research Needs. Journal of HVAC&R Research, 9(2), 2003
  4. Magunus K. Herrlin, Rack Cooling Effectiveness in Data Centers and Telecom Central Offices: The Rack Cooling Index(RCI), ASHRAE Transactions, 111(2), 2005
  5. Magunus K. Herrlin, Airflow and Cooling Performance of Data Centers: Two Performance Metrics, ASHRAE Transactions, 114(2), 2008
  6. J. Cho, T. Lim, B.S. Kim, Cooling systems for IT environment heat removal in (Internet) Data Centers. Journal of Asian Architecture and Building Engineering, 7(2), 2008
  7. J. Cho, T. Lim, B.S. Kim, Measurements and Predictions of the Air Distribution Systems in High Compute Density Data Centers. Energy and Buildings, 41(10), 2009
  8. U.S. Department of Energy, U.S. Data Centers Save Energy Now, Industrial Technologies Program, DOE/energy efficiency and renewable energy, 2009
  9. ASHRAE TC 9.9, Thermal Guideline for Data Processing Environments, 2004
  10. ASHRAE TC 9.9, Thermal Guidelines for Data Processing Environments - Expanded Data Center Classes and Usage Guidance White paper, 2008
  11. ANCIS/DOE (2011). DOE Data Center Air-Management (AM) Tool: User's Maunal
  12. 조진균, 신승호, 데이터센터의 공조시스템 계획을 위한 IT장비의 전력 및 발열량 예측에 대한 연구, 대한설비공학회 논문집, 24(3), 2012