Prototype energy models for data centers

被引:33
|
作者
Sun, Kaiyu [1 ]
Luo, Na [1 ]
Luo, Xuan [1 ]
Hong, Tianzhen [1 ]
机构
[1] Lawrence Berkeley Natl Lab, Bldg Technol & Urban Syst Div, One Cyclotron Rd, Berkeley, CA 94720 USA
关键词
Data center; EnergyPlus; Energy efficiency; Prototype energy model; Approach temperature; OpenStudio; AIR-DISTRIBUTION SYSTEMS; BUILDING ENERGY; PERFORMANCE; SIMULATION; DENSITY; FLOW; MANAGEMENT;
D O I
10.1016/j.enbuild.2020.110603
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Data centers in the United States consume about two percent of the nation's electricity. Because heat gains from IT equipment drive cooling demand, data centers offer unique opportunities for energy savings. However, no prototype energy model for data centers is available in the suite of existing U.S. Department of Energy's Commercial Prototype Building Models. This study presented the development of two new data center prototype models and their implementation in OpenStudio and EnergyPlus. The small-size data center model represents a computer room in a building served by computer room air conditioners (CRACs); while the large-sized model represents stand-alone data centers served by computer room air handlers (CRAHs) with a central chiller plant. For each data center model, two levels of IT equipment (ITE) load density were considered, to cover the wide range of IT power density of data centers: 40 and 100 W/ft(2) (430 and 1076 W/m(2)) for the computer room, and 100 and 500 W/ft(2) (1076 and 5382 W/m(2)) for the stand-alone data center. All other assumptions, such as building envelope, lighting, HVAC efficiencies and schedules, were based on the minimal requirements of ASHRAE Standard 90.1 at various vintages. We introduced a novel concept of supply and return air approach temperatures to capture the essential effects of non-uniform airflow and temperature distribution in data centers. The approach temperatures were pre-computed by computational fluid dynamics (CFD) simulations for various configurations of ITE loads and airflow containment management in data centers. A new feature was developed in EnergyPlus to implement the approach temperature method. A case study was conducted to demonstrate the use of the data center models. The two data center models cover all U.S. climate zones and can be used to evaluate energy saving measures for data centers, as well as to support development of data center energy efficiency codes and standards. (C) 2020 Elsevier B.V. All rights reserved.
引用
收藏
页数:15
相关论文
共 50 条
  • [31] SLA Protection Models for Virtualized Data Centers
    Gambi, Alessio
    Pezze, Mauro
    Young, Michal
    2009 ICSE WORKSHOP ON SOFTWARE ENGINEERING FOR ADAPTIVE AND SELF-MANAGING SYSTEMS, 2009, : 10 - +
  • [32] Evaluation of a Rack-Scale Disaggregated Memory Prototype for Cloud Data Centers
    Quiroga, Josue, V
    Torrents, Marti
    Sonmez, Nehir
    Theodoropoulos, Dimitris
    Zyulkyarov, Ferad
    Nemirovsky, Mario
    PROCEEDINGS OF THE 30TH INTERNATIONAL WORKSHOP ON RAPID SYSTEM PROTOTYPING (RSP'19): SHORTENING THE PATH FROM SPECIFICATION TO PROTOTYPE, 2019, : 15 - 21
  • [33] Scheduling Energy Efficient Data Centers Using Renewable Energy
    Iturriaga, Santiago
    Nesmachnow, Sergio
    ELECTRONICS, 2016, 5 (04)
  • [34] A Hierarchical Approach to Energy Management in Data Centers
    Parolini, Luca
    Garone, Emanuele
    Sinopoli, Bruno
    Krogh, Bruce H.
    49TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2010, : 1065 - 1070
  • [35] Algorithms for energy conservation in heterogeneous data centers
    Albers, Susanne
    Quedenfeld, Jens
    THEORETICAL COMPUTER SCIENCE, 2021, 896 : 111 - 131
  • [36] Energy aware Colocation of Workload in Data centers
    Pore, Madhurima
    Abbasi, Zahra
    Gupta, Sandeep K. S.
    Varsamopoulos, Georgios
    2012 19TH INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING (HIPC), 2012,
  • [37] AN ECONOMIC ENERGY APPROACH FOR QUERIES ON DATA CENTERS
    Saraiva, Joao
    Guimarales, Miguel
    Belot, Orlando
    PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON ENERGY AND ENVIRONMENT (ICEE 2017), 2017, : 679 - 685
  • [38] On the Minimization of the Energy Consumption in Federated Data Centers
    Aravanis, Alexis I.
    Karkazis, Panagiotis
    Voulkidis, Artemis
    Zahariadis, Theodore
    INTERNET OF THINGS: IOT INFRASTRUCTURES, PT I, 2016, 169 : 388 - 398
  • [39] Servers and data centers energy performance metrics
    Beitelmal, A. H.
    Fabris, D.
    ENERGY AND BUILDINGS, 2014, 80 : 562 - 569
  • [40] First Look at Energy Standard for Data Centers
    Jarnagin, Ron
    ASHRAE JOURNAL, 2016, 58 (10) : 12 - 14