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DOE OSTI · 1773506

Improving Data Center Energy Efficiency Through End-to-End Cooling Modeling and Optimization. Final Report

Zuo, Wangda·Wetter, Michael·VanGilder, James·Han, Xu·Fu, Yangyang·Faulkner, Cary·Hu, Jianjun·Tian, Wei·Condor, Michael
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Abstract

This report summarizes the development and demonstration of the three features developed for the DOE project “Improving Data Center Energy Efficiency through End-to-End Cooling Modeling and Optimization” (Award No. DE-EE0007688). The development of the three software features, Feature 1: Optimization of Cooling System Operation, Feature 2: Optimization of Airflow Management System, and Feature 3: Simultaneous Optimization of Airflow Management and Cooling Systems, are described first. Feature 1 is implemented in Phase 1 of the project and demonstrates 15% energy savings from cooling system optimization by applying the proposed retrofit solutions. Feature 2 is implemented in Phase 2 and the assessments show cooling energy-saving potential between 19.3% and 54.0%, depending on the energy-saving measures employed. In addition, investigating the energy saving potential for a hypothetical simple data center shows about 6.8% energy savings by optimizing the server load placement. Feature 3 is implemented in Phase 3 and the results show energy savings of 53.4% and 74.6% for the two partner data centers, respectively, compared to the baselines defined in Phase 1. Lastly, the project outcomes including software releases and publications are discussed.

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32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATIONAirflowCoolingData CenterEnergy EfficiencyModelicaModelingOperation

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Zuo, Wangda, Wetter, Michael, VanGilder, James, Han, Xu, Fu, Yangyang, Faulkner, Cary, Hu, Jianjun, Tian, Wei, Condor, Michael. 2021-04-01. Improving Data Center Energy Efficiency Through End-to-End Cooling Modeling and Optimization. Final Report. https://doi.org/10.2172/1773506

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