首页|Mechanistic modeling of copper corrosions in data center environments

Mechanistic modeling of copper corrosions in data center environments

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Air-side economizers are increasingly used to take advantage of"free-cooling"in data centers with the intent of reducing the carbon footprint of buildings.However,they can introduce outdoor pollutants to indoor environment of data centers and cause corrosion damage to the information technology equipment.To evaluate the reliability of information technology equipment under various thermal and air-pollution conditions,a mechanistic model based on multi-ion transport and chemical reactions was developed.The model was used to predict Cu corrosion caused by Cl2-containing pollutant mixtures.It also accounted for the effects of temperature(25 ℃ and 28 ℃),relative humidity(50％,75％,and 95％),and synergism.It also identified higher air temperature as a corrosion barrier and higher relative humidity as a corrosion accelerator,which agreed well with the experimental results.The average root mean square error of the prediction was 13.7 Å.The model can be used to evaluate the thermal guideline for data centers design and operation when Cl2 is present based on pre-established acceptable risk of corrosion in data centers'environment.

chloride pollutant mixturecopper corrosion modeldata centertemperaturerelative humiditysynergistic effect

Rui Zhang、Jianshun Zhang、Roger Schmidt、Jeremy L.Gilbert

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Department of Mechanical and Aerospace Engineering,College of Engineering and Computer Science,Syracuse University,Syracuse,NY 13244,USA

Buildings and Transportation Science Division,Oak Ridge National Laboratory,Oak Ridge,TN 37830,USA

SyracuseCoE-New York Center of Excellence in Environmental and Energy Systems,Syracuse University,727 E.Washington Street,Syracuse,NY 13244,USA

Department of Bioengineering,Clemson University,Clemson-Medical University of South Carolina Bioengineering Program,Charleston,SC 29425,USA

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American Society of Heating,Refrigerating and Airconditioning Engineers and Syracuse UniversityUS Department of Energy's Oak Ridge National Laboratory

2024

10.1007/s12273-023-1088-z

建筑模拟(英文版)

建筑模拟(英文版)

EI
ISSN：1996-3599
年,卷(期)：2024.17(3)
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