1 DOE Data Center Tools Suite Assessment Tool Development Electrical Example Lawrence Berkeley National Laboratory ANCIS EYP Mission Critical Rumsey Engineers.

Slides:



Advertisements
Similar presentations
Energy Audit Process For Data Centers Len Kientz
Advertisements

Mounting Installations SITRANS P for Differential Pressure
MAINTENANCE GUIDE SOCKET LAYOUT ………………………………..p2 SOCKET IDENTIFICATION …………………..p3 SOCKET ASSEMBLED ………………………….p4 ~p7 CONTACTS REMOVAL …………………………p8 UPPER.
Technologies for Demand Response: Enabling Efficiency and Prices to Devices Dr. Arshad Mansoor Vice President, Power Delivery & Utilization 2010 National.
1 of 18 Information Dissemination New Digital Opportunities IMARK Investing in Information for Development Information Dissemination New Digital Opportunities.
UPS Topologies and Multi-Module Configurations
Consult + Engineer + Commission Creating Exceptional Environments © All Rights Reserved January 18, 2011 UNINTERRUPTIBLE POWER SYSTEM (UPS)
Supply Chain Operations Reference Model (SCOR)
Minimum Weight Plastic Design For Steel-Frame Structures EN 131 Project By James Mahoney.
Beckett Energy Systems
New Paradigms for Measuring Savings
J.B. Speed School of Engineering University of Louisville KEEPS Energy Management Toolkit Step 2: Assess Performance & Opportunities Toolkit 2F: Lighting.
BME - Budapest University of Technology and Economics 1872 BME - Budapest University of Technology and Economics 1872 RESEARCH at BME.
1 DOE Data Center Tools Suite Data Center Energy Profiler (“DC Pro”) Lawrence Berkeley National Laboratory ANCIS EYP Mission Critical Rumsey Engineers.
Distributed Computing 9. Sorting - a lower bound on bit complexity Shmuel Zaks ©
Introduction Build and impact metric data provided by the SGIG recipients convey the type and extent of technology deployment, as well as its effect on.
INTRODUCTION Anggra Prima, S.Pd (0711) BAHASA INGGRIS II Bobot:2 sks Penilaian:Tugas (20%), Kuis (10%), UTS(30%), UAS(40%) Buku Wajib:Kumpulan.
G.E. UPS Productline.
Increasing the Efficiency of UPS Systems – And Proving It!
University of Liège Faculty of Applied Sciences Thermodynamics Laboratory Workshop “Commissioning and Auditing of Buildings and HVAC Systems” Use of a.
Cooling Product Positioning
All content in this presentation is protected – © 2008 American Power Conversion Corporation Rael Haiboullin System Engineer Change Manager.
PG&E and Altera Data Center Energy Efficiency Project.
Action-Oriented Benchmarking Paul A. Mathew, Ph.D. Lawrence Berkeley National Laboratory Berkeley California Using CEUS Data to Identify and Prioritize.
1 Page 1 Public Interest Energy Research (PIER) California Institute for Energy & Environment (CIEE) Lawrence Berkeley National Laboratory Bill Tschudi.
All content in this presentation is protected – © 2008 American Power Conversion Corporation Rael Haiboullin System Engineer Capacity Manager.
Reliability and Energy Efficiency – Not Mutually Exclusive
Creating Energy-Efficient Data Centers
Upstate Energy Expo 2010 NYSERDA Program Overview March 30, 2010 Cheryl Glanton, Project Manager.
Steve Craker K-12 Team Lead Geoff Overland IT and Data Center Focus on Energy Increase IT Budgets with Energy Efficiency.
J.B. Speed School of Engineering University of Louisville KEEPS Energy Management Toolkit Step 2: Assess Performance & Opportunities Toolkit 2A: KEEPS.
Data Center Consolidation & Energy Efficiency in Federal Facilities
Connectivity Week Santa Clara Convention Center May 23, 2011.
Optimising Data Centre Power Planning and Managing Change in Data Centres - 28th November Cirencester.
Page 1 Public Interest Energy Research (PIER) California Institute for Energy & Environment (CIEE) Bill Tschudi Lawrence Berkeley National Laboratory
J.B. Speed School of Engineering University of Louisville KEEPS Energy Management Toolkit Step 2: Assess Performance & Opportunities Toolkit 2C: School.
1 DOE Data Center Energy Efficiency Program and Tool Strategy Paul Scheihing U.S. Department of Energy Office of Energy Efficiency and Renewable Energy.
“Do Green” Two Options: Prescriptive Custom Prescriptive- -Must be running a MODULATING ROTARY SCREW AIR COMPRESSOR -Must be 75 Horsepower or Less Custom-
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.
Federal Data Center Programs 7 X 24 Exchange October, 2007 William Tschudi
A Paper Presentation On Energy Conservation and procedure of Energy Audit Presented By Mr. Shubham N. Charde Final Year Diploma in Electrical Engg.
1 Data Center Energy Efficiency Metrics ASHRAE June 24, 2008 Bill Tschudi Lawrence Berkeley National Laboratory
RACK Mountable & Modular Continuous Power Protection Availability
The Data Center Challenge
1 CTO Challenge William Tschudi February 27, 2008.
Data Center Energy Efficiency Sonoma Mountain Village November 29, 2007 William Tschudi
Authors: William Tschudi, Lawrence Berkeley National Lab Stephen Fok, Pacific Gas and Electric Company Stephen Fok, Pacific Gas and Electric Company Presented.
Datacenter Energy Efficiency Research: An Update Lawrence Berkeley National Laboratory Bill Tschudi July 29, 2004.
Optimizing Power and Data Center Resources Jim Sweeney Enterprise Solutions Consultant, GTSI.
1 Page 1 Steve Greenberg Sponsored by: Public Interest Energy Research (PIER) California Energy Commission and administered by California.
Data Center Energy Use, Metrics and Rating Systems Steve Greenberg Energy Management Engineer Environmental Energy Technologies Division Lawrence Berkeley.
© 2014 Eaton. All Rights Reserved.. Eaton 93PM: Value, Benefits, and Features.
2016 PG&E DATA CENTER BASELINE STUDY Jeff Stein, PE Brandon Gill, PE.
Turning Energy Data into Operations Intelligence Presented to: FMA September 17, 2013.
1 IT Steering Committee Conference Call#1 Magnus Herrlin DCEP Program Lead Bob Landstrom DCEP Level II Instructor IT Steering Committee Lead June 6, 2016.
Dell EMC Modular Data Centers
Enabling High Efficient Power Supplies for Servers
Fort Stanwix National Monument Energy Audit Contract
Overview: Cloud Datacenters II
The Data Center Challenge
RACK Mountable & Modular Continuous Power Protection Availability
DOE Data Center Energy Efficiency Program and Tool Strategy
Data Center Service Brian Messenger 11/15/2016.
Industrial Assessment Center Database
RACK Mountable & Modular Continuous Power Protection Availability
PowerValue 11 RT Sales Presentation
ANSI/ASHRAE 90.4 Energy Standard for Data Centers
DOE Data Center Tools Suite Data Center Energy Profiler (“DC Pro”)
Alabama Industrial Assessment Center
Presentation transcript:

1 DOE Data Center Tools Suite Assessment Tool Development Electrical Example Lawrence Berkeley National Laboratory ANCIS EYP Mission Critical Rumsey Engineers Taylor Engineering

2 Objective General Overview of Worksheet with Electrical Example Structure of Worksheet in development of Assessment tools Elements of Worksheet Data Collection Metrics and features List of actions

3 Where Does Worksheet Fit In? Energy Profiling Subsystem Assessment Detailed Engineering Audit Engineering Design Savings Validation (M&V) Retrofit/RCx Implementation Documentation

4 Table of Contents Data Center Assessment Protocol Worksheets Worksheet Description Inputs Lists the features and metrics that are needed for each assessment area Data Collection Use this sheet to plan the data collection procedure for each data item Actions Lists the potential efficiency actions in each assessment area and the method to determine their applicability based on the inputs Notes: 1. This is a draft in development. Some fields are incomplete 2. All sheets set to print in landscape format

5 Inputs - Categories Data Center Assessment Inputs: 1. Overall Energy Management 2. Environmental Conditions 3. Air Management and Air Handling 4. Economizer 5. Central Cooling Plant 6. IT Equipment Power Chain 7. Lighting 8. Other Electrical

6 Inputs – Electrical Example Data Center Assessment Inputs: Features and Metrics 6. IT Equipment Power Chain What is the Utility input voltage? What is the UPS redundancy configuration? What is the power distribution configuration? What is the UPS load capacity? What type of the UPS is being used? What is the UPS input current total harmonic distortion? What is the UPS input power factor? Number of transformers downstream the UPS system? Number of transformers / PDUs upstream the UPS system? Number of STSs downstream the UPS system? What is the anticipated future IT loads? What is the standby-by power configuration? Is there co-generation? Do the servers have an efficiency rating? Is virtualization used?

7 Inputs - Metrics – Electrical Example Data Center Assessment Inputs: Features and Metrics 6. IT Equipment Power Chain MetricsUnitData RequiredPriorityValue 6A: UPS load capacitykVA/kWUPS rating1 6B: UPS System Efficiency%UPS Output kW/UPS Input kW1 6C: UPS input current THD%UPS THD measure at Input1 6D: UPS input power factorPFUPS Power Factor measure at Input1 6E: Transformer (upstream UPS system) Efficiency %XFMR Output kW/XFMR Transformer Input 1 6F: PDU (with built-in transformer) System Efficiency %PDU Output kW/ PDU Input kW1 6G: STS efficiency%STS Output kW /STS Input kW2 6H: IT Peak Power Density (actual)W/sfIT Peak Power (actual) / DC Floor Area 1 6I: IT Peak Power Density (design)W/sfIT Peak Power (design) / DC Floor Area 2 6J: IT Rack Power Density (actual)kW/rackIT Peak Power (actual) / rack quantity 1 6K: IT Rack Power Density (design)kW/rackIT Peak Power (design) / rack quantity 1

8 Data Collection - Categories Data Centers: Data Collection Worksheet IDDataUnit Priority Source /Method Measurement Frequency Measurement Equipment Guidance General Annual Energy Use (NOTE: Include central plant energy used by DC, but exclude energy used for any offices, etc. that may be served by central plant) CRAC and AHU Economizer and Central Cooling IT Equipment Power Data Lighting Data

9 Data Collection – Electrical Example Data Centers: Data Collection Worksheet IDDataUnit Prio- rity Source /Method Measurement Frequency Measurement Equipment Guidance IT Equipment Power Data P1 IT Equipment Energy UsekWh P2 IT Peak Power: ActualkW1 Use P4 or P5 P3 IT Peak Power: DesignkW1 P4 UPS InputkW1 P5 UPS OutputkW1 P6 UPS RatingkVA / kW 1 P7 UPS Input current THD THD %1 P8 UPS Input Power factorPF1 P9 Transformer (upstream UPS) input kW1 P10 Transformer (upstream UPS) output kW1 P11 Transformer ratingkVA1 P12 PDU InputkW1 P13 PDU OutputkW1 P14 PDU RatingkVA1

10 Actions - Categories Data Center Assessment Efficiency Actions: 1. Overall Energy Management 2. Environmental Conditions 3. Air Management and Air Handling 4. Economizer 5. Central Cooling Plant 6. IT Equipment Power Chain 7. Lighting 8. Maintenance & Testing Management

11 Actions – Electrical Example Data Centers Assessment: Efficiency Actions Actions Criteria to Determine Applicability of Actions (using metrics and features) Algorithm to Determine Potential Savings (using metrics and features) 6. IT Equipment Power Chain Maximize UPS load capacity: - UPS types / topologies (DB Con/DLT Con/Rotary) - Redundant configuration not to exceed (N+1) or 2 N. - Use modular UPS - Shutting down modules when the redundancy level is high enough Applicability Criteria: < 30% for N+x configuration < 40% for N configuration Evaluate / Retrofit UPS topologies for more efficient ones. Y / N Shutting down UPS modules. Y / N Modular type UPS system. Y / N based on typical UPS types - Rotary, Delta Conversion, Double Conversion, and Flywheel types. (see UPS efficiency Tab) Overall Energy Effectiveness is high. Consider high efficient UPS types / topologies. Use high efficient UPS types / topologies. Y/N Y: Will increase UPS efficiency by 5- 15%. N: 0% New UPS topologies offer high efficiency at load capacity below 40%. Overall Energy Effectiveness is high. Consider UPS without input filters.Are input filters installed. Y/N Y: Removal will increase UPS efficiency by 1 to 2%. N: 0% New UPS topologies offer high efficiency at load capacity below 40%. Overall Energy Effectiveness is low / medium

12 We need your input! Purpose of today’s workshop: Assessment tools Refine the list of metrics and features Refine the list of actions Identify data collection challenges and opportunities

13 Thank You! See you at the Electrical Breakout Workshop Session.