The Data Center Challenge

Slides:



Advertisements
Similar presentations
Data Center Design Issues Bill Tschudi, LBNL
Advertisements

Clair Christofersen Mentor – Aaron Andersen August 2, 2012
1 Optimizing the Efficiency of the NCAR-Wyoming Supercomputing Center Ademola Olarinde Team Member: Theophile Nsengimana Mentor: Aaron Andersen August.
Foundations of Real Estate Management TM BOMA International ® Module 3: Building Operations I Heating, Ventilating, and Cooling the Building.
Learning Outcomes Upon completion of this training one should be able to: Identify open loop and closed loop campus-type hydronic water system applications.
1Taylor Engineering, LLC Group Think Mark Hydeman, P.E., FASHRAE Taylor Engineering, LLC
University of Iowa Indoor Practice Facility Outside-the-box HVAC Lincoln Pearce, PE – KJWW Engineering David Hahn – University of Iowa Chilled Water Plant.
1 Modeling of HVAC System for Controls Optimization Using Modelica Wangda Zuo 1, Michael Wetter 2 1 Department of Civil, Architectural and Environmental.
T OPPORTUNITIES FOR ENERGY EFFICIENCY AT TRIBAL GAMING FACILITIES.
Using Benchmarking to Identify Energy Efficiency Opportunity in Cleanrooms; The Labs 21 Approach William Tschudi and Peter Rumsey June 29, 2004
CLEANROOM ENERGY BENCHMARKING William Tschudi October 9, 2002 Acknowledgements: Pacific Gas and Electric Company, Rumsey Engineers
Cooling Product Positioning
1 Page 1 Public Interest Energy Research (PIER) California Institute for Energy & Environment (CIEE) Lawrence Berkeley National Laboratory Bill Tschudi.
HVAC Systems Overview HVAC Overview - # 1 Tom Lawrence
44 th Annual Conference & Technical Exhibition By Thomas Hartman, P.E. The Hartman Company Georgetown, Texas Sustainable Chilled Water.
Jim Chmielewski – HVAC Sales Manager Emerson Control Techniques
UTSW Thermal Energy Plants, Power Generation and Electrical System What do we do to meet the Emission Reduction, Energy usage Reduction and Electrical.
Presentation Outline Introduction CHP Analysis Electrical Analysis Acoustical Analysis Thermal Storage Analysis System Optimization Analysis Conclusion.
Energy Efficient Data Centers - an Update December, 2006 William Tschudi
Refrigeration and Heat Pump Systems Refrigeration systems: To cool a refrigerated space or to maintain the temperature of a space below that of the surroundings.
24 x 7 Energy Efficiency February, 2007 William Tschudi
Reliability and Energy Efficiency – Not Mutually Exclusive
September 18, 2009 Critical Facilities Round Table 1 Introducing the Heat Wheel to the Data Center Robert (Dr. Bob) Sullivan, Ph.D. Data Center Infrastructure.
Steve Craker K-12 Team Lead Geoff Overland IT and Data Center Focus on Energy Increase IT Budgets with Energy Efficiency.
Building Systems Integration - Energy and Cost Analysis The Milton Hershey School New Supply Center Justin Bem AE Senior Thesis – Spring 2007 Mechanical.
 Install new air cooled high efficiency screw chiller (variable speed)  Install new fan coils with ECM motors and low temperature heating coils and proper.
1Taylor Engineering, LLC HVAC System Design Mark Hydeman, P.E., FASHRAE Taylor Engineering, LLC
Chilled Water Systems Total Cost of Ownership
Data Center Consolidation & Energy Efficiency in Federal Facilities
Best Practices in HVAC Design/Retrofit
Overview of Liquid Cooling Systems Peter Rumsey, Rumsey Engineers.
Important variables Water: Air: Conversion:
Chilled water Meyrin consolidation Study 1 st Part Many thanks for their contribution to: Pasquale Alemanno, Fortunato Candito, Alexander Putzu.
Data Centers - They’re Back… E SOURCE Forum September, 2007 William Tschudi
Lawrence Livermore National Laboratory Building 111 Mike Holda Lawrence Berkeley National Laboratory (510) or (209) ,
Page 1 Public Interest Energy Research (PIER) California Institute for Energy & Environment (CIEE) Bill Tschudi Lawrence Berkeley National Laboratory
Air Conditioning and Computer Centre Power Efficiency The Reality Christophe Martel Tony Cass.
N O R T H A M E R I C A C O M M E R C I A L TDP
N VAV system varies the air quantity rather than temperature to each zone n Single main duct is run from AHU n Branch duct are run from this main through.
November 2004 Low Hanging Fruit Low Cost Energy Efficiency Opportunities in Cleanrooms.
Overview of Data Center Energy Use Bill Tschudi, LBNL
Information Technology for Building Operations, Energy Efficiency and Demand Response June 9, 2009 Mary Ann Piette Lawrence Berkeley National Laboratory.
The lawrence berkeley national laboratory: a case study Revised 12/2/04.
1 Data Center Energy Efficiency Metrics ASHRAE June 24, 2008 Bill Tschudi Lawrence Berkeley National Laboratory
Energy Efficient Data Centers Update on LBNL data center energy efficiency projects June 23, 2005 Bill Tschudi Lawrence Berkeley National Laboratory
1 CTO Challenge William Tschudi February 27, 2008.
Data Center Energy Efficiency Sonoma Mountain Village November 29, 2007 William Tschudi
Straumann USA 60 Minuteman Road Andover, MA Kevin Kaufman Mechanical Option The Pennsylvania State University Architectural Engineering.
Authors: William Tschudi, Lawrence Berkeley National Lab Stephen Fok, Pacific Gas and Electric Company Stephen Fok, Pacific Gas and Electric Company Presented.
Cleanrooms: Can They Be Energy Efficient? William Tschudi – LBNL Peter Rumsey – Rumsey Engineers November 4, 2004.
Optimizing Power and Data Center Resources Jim Sweeney Enterprise Solutions Consultant, GTSI.
1 Data Centers for the 21st Century Working with Industry to Improve Energy Efficiency in Data Centers Dale Sartor, P.E. LBNL Applications Team June 7,
Introduction to Energy Management. Week/Lesson 13 Control Strategies for Occupant Comfort.
1 Page 1 Steve Greenberg Sponsored by: Public Interest Energy Research (PIER) California Energy Commission and administered by California.
VRF Applications in PNW RTF RTUG Meeting October 26, 2011 Kevin Campbell Reid Hart, PE Technical Research Group.
Energy Savings in CERN’s Main Data Centre
Data Center Energy Use, Metrics and Rating Systems Steve Greenberg Energy Management Engineer Environmental Energy Technologies Division Lawrence Berkeley.
All content in this presentation is protected – © 2008 American Power Conversion Corporation Row Cooling.
1 Energy Efficient Data Centers: Strategies from the Save Energy Now Program Federal Environmental Symposium June 4, 2008 Dale Sartor Lawrence Berkeley.
Data Center Energy Efficiency SC07 Birds of a Feather November, 2007 William Tschudi
Lecture Objectives: Discuss HW3 parts d) & e) Learn about HVAC systems
Unit 2: Chapter 2 Cooling.
The Data Center Challenge
HYDRONIC HVAC: The Most Comfortable and Efficient System
HYDRONIC HVAC: The Most Comfortable and Efficient System
Lecture Objectives: Answer questions related to HW 4
Data Center Controls Mark Hydeman, P.E., FASHRAE Taylor Engineering, LLC
Lecture Objectives: Discuss HW3 parts d) & e) Learn about HVAC systems
Energy Efficiency in District Coiling System
Liebert DSE High efficiency thermal management
Presentation transcript:

The Data Center Challenge Data Centers 15-40x the energy intensity of typical office buildings A single rack of servers can be 20 kW $17k per year (at $.10) per rack Hundreds of racks per center Where are the opportunities? 22 data centers benchmarked

IT equipment load density LBNL supercomputer center

Using benchmark results to find best practices We wondered what metrics were indicators of better performance. The ratio of IT equipment power to the total is an indicator of relative overall efficiency. Examination of individual systems and components in the centers that performed well helped to identify best practices.

Percentage of power to IT equipment We observed a wide variation in relative performance

HVAC system effectiveness We observed a wide variation in HVAC performance

Optimize Air Management Enforce hot aisle/cold aisle arrangement Eliminate bypasses and short circuits Reduce air flow restrictions Proper floor tile arrangement Proper locations of air handlers

Typical hot aisle-cold aisle arrangement

Data Center HVAC often under-loaded Ultimate load uncertain Right-Size the Design Data Center HVAC often under-loaded Ultimate load uncertain Design for efficient part-load operation modularity variable-speed fans, pumps, compressors Upsize fixed elements (pipes, ducts) Upsize cooling towers

Optimize the Central Plant Have one (vs. distributed cooling) Medium temperature chilled water Aggressive temperature resets Primary-only CHW with variable flow Thermal storage Monitor plant efficiency

Design for Efficient Central Air Handling Fewer, larger fans and motors VAV easier Central controls eliminate fighting Outside-air economizers easier

Outside-Air Economizers Use Free Cooling Outside-Air Economizers Can be very effective (24/7 load) Controversial re: contamination Must consider humidity Water-side Economizers No contamination question Best in series with chiller

Improve Humidity Control Eliminate inadvertent dehumidification Computer load is sensible only Medium-temperature chilled water Humidity control at make-up air handler only Use ASHRAE allowable RH and temperature Eliminate equipment fighting Coordinated controls on distributed AHUs

Specify Efficient Information Technology Power Supplies and Uninterruptible Power Supplies Power supplies in IT equipment generate much of the heat. Highly efficient supplies can reduce IT equipment load by 15% or more. UPS efficiency also varies a lot. (Do they need the same environment as the IT equipment or can their conditions be relaxed?)

Consider On-Site Generation Can use waste heat for cooling sorption cycles typically required for cost effectiveness Swaps role with utility for back-up Air-quality issues Sell-back options complex controls required

Use Liquid Cooling of Racks and Computers Water is 3500x more effective than air on a volume basis Cooling distribution is more energy efficient Water-cooled racks available now; liquid-cooled computers are coming Heat rejection at a higher temperature Chiller plant more efficient Water-side economizer more effective

Improve Design, Operations, and Maintenance Processes Get IT and Facilities people to work together Use life-cycle cost analysis Document design intent Introduce energy optimization early Benchmark existing facilities Re-commission as a regular part of maintenance

Summary Air management Right-sizing Central plant optimization Efficient air handling Free cooling Humidity control UPSs and power supplies On-site generation Liquid cooling Design and M&O processes

Conclusion Energy benchmarking can be effective in helping to identify better performing designs and strategies. As new strategies are implemented (e.g. liquid cooling), energy benchmarking will enable comparison of performance.

For more info: http://hightech.lbl.gov/datacenters Thank you! Questions?? For more info: http://hightech.lbl.gov/datacenters