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Title: Equation-Based Object-Oriented Modeling and Simulation of Data Center Cooling Systems

Abstract

In this paper, we introduce a newly developed open source data center package in the Modelica Buildings library to support modeling and simulation of cooling and control systems of data centers. The data center package contains major thermal and control component models, such as Computer Room Air Handler, Computer Room Air Conditioner, models of different subsystem configurations such as chillers with differently configured waterside economizers, as well as templates for different systems. Two case studies based on this package are performed to investigate the performances of the cooling and electrical system under normal conditions and emergency situations such as a blackout: one is for a data center powered by conventional energy, and the other is for a data center powered by renewable energy. Simulation results show that the dynamic modeling and multi-domain simulation in the Modelica-based tool make it convenient for users to investigate both normal and emergent operations for conventional and renewable data centers.

Authors:
 [1]; ORCiD logo [2];  [3];  [4];  [1]
  1. University of Colorado
  2. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
  3. Lawrence Berkeley National Laboratory
  4. Schneider Electric
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
OSTI Identifier:
1543120
Report Number(s):
NREL/JA-5500-74322
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Journal Article
Journal Name:
Energy & Buildings
Additional Journal Information:
Journal Volume: 198
Country of Publication:
United States
Language:
English
Subject:
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; equation-based modeling; waterside economizer; data center; emergency operation

Citation Formats

Fu, Yangyang, Zuo, Wangda, Wetter, Michael, VanGilder, James W., and Yang, Peilin. Equation-Based Object-Oriented Modeling and Simulation of Data Center Cooling Systems. United States: N. p., 2019. Web. doi:10.1016/j.enbuild.2019.06.037.
Fu, Yangyang, Zuo, Wangda, Wetter, Michael, VanGilder, James W., & Yang, Peilin. Equation-Based Object-Oriented Modeling and Simulation of Data Center Cooling Systems. United States. https://doi.org/10.1016/j.enbuild.2019.06.037
Fu, Yangyang, Zuo, Wangda, Wetter, Michael, VanGilder, James W., and Yang, Peilin. 2019. "Equation-Based Object-Oriented Modeling and Simulation of Data Center Cooling Systems". United States. https://doi.org/10.1016/j.enbuild.2019.06.037.
@article{osti_1543120,
title = {Equation-Based Object-Oriented Modeling and Simulation of Data Center Cooling Systems},
author = {Fu, Yangyang and Zuo, Wangda and Wetter, Michael and VanGilder, James W. and Yang, Peilin},
abstractNote = {In this paper, we introduce a newly developed open source data center package in the Modelica Buildings library to support modeling and simulation of cooling and control systems of data centers. The data center package contains major thermal and control component models, such as Computer Room Air Handler, Computer Room Air Conditioner, models of different subsystem configurations such as chillers with differently configured waterside economizers, as well as templates for different systems. Two case studies based on this package are performed to investigate the performances of the cooling and electrical system under normal conditions and emergency situations such as a blackout: one is for a data center powered by conventional energy, and the other is for a data center powered by renewable energy. Simulation results show that the dynamic modeling and multi-domain simulation in the Modelica-based tool make it convenient for users to investigate both normal and emergent operations for conventional and renewable data centers.},
doi = {10.1016/j.enbuild.2019.06.037},
url = {https://www.osti.gov/biblio/1543120}, journal = {Energy & Buildings},
number = ,
volume = 198,
place = {United States},
year = {Tue Jun 18 00:00:00 EDT 2019},
month = {Tue Jun 18 00:00:00 EDT 2019}
}