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Alfonso Ortega Villanova University Site Director
Associate Vice President Research and Graduate Programs
James R. Birle Professor of Energy Technology
Villanova University
www.villanova.edu/ES2
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Villanova University Personnel
Site Director: Dr. Alfonso Ortega
Faculty team:
• Dr. Amy Fleischer, Professor, Thermal Systems
• Dr. Aaron Wemhoff, Asst. Prof, Thermal Systems
• Dr. Jerry Jones, Professor, Thermal Modeling
• Dr. Kamran Fouladi, Research Prof, CFD
Students:
• Luis Silva, Post-Doctoral Research Associate
• Khosrow Ebrahimi, Post-Doctoral Research Associate
• Marcelo Del Valle, PhD Candidate
• Anish Bhalerao, PhD Candidate
• Roozbeh Bahkshi, PhD Candidate
• Daniel Fritch, M.S. Candidate
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Villanova University Research
Focus Areas
•Local vs. Grid
•Renewables
•CHP
•DC vs. AC
Power Generation and Distribution
•Smart Scheduling
•Holistic IT and Cooling Processes
Energy Smart IT •VTAS Energy Simulator
•Exergy Based methods for Analysis of Energy Efficient
•Dynamic Close-Coupled Cooling
•Liquid Cooling
Energy Smart Cooling and Energy
Management
•Liquid Cooling to Waste Heat Recovery
•Organic Rankine Cycles
•Absorption Refrigeration
Energy Recovery
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DATA CENTER SYSTEM ENERGY MODELING-CHIP TO COOLING TOWER
Villanova University Lead Site
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A flow network tool for modeling Data Center energy utilization—Chip to Cooling tower
Physical Layout
Cooling tower
Chiller CRAH Servers & Racks
Room Air
Villanova Thermodynamic Analysis of Systems (VTAS): flow network modeling tool - 1st Law (PUE, WUE) and 2nd Law (exergy destruction) component and system efficiency
calculations - Component design requirement calculations based on data center load - Modeling of transient behavior (e.g., CRAH and/or server failure) - System optimization - Comparison of nontraditional cooling schemes (rear-door heat exchanger, in-row heat
exchanger)
VTAS connects component models via a flow framework
Computational Layout
Cooling tower
Chiller
CRAH
Rack
Tile
Supply plenum
Return plenum
Hot aisle
Cold aisle
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Data Center Cooling System Component Models
A large component model library has been created
- Internal component models: - Servers - Data Center airspace (hot aisles, cold
aisles, return plenum, supply plenum, vent tiles)
- Rear-door heat exchangers - In-row coolers
- External component models: - CRAH units - Chillers - Cooling towers
- Other component models: - Fans/pumps - Flow junctions/flow splitters
Component models calculate heat exchange, mass exchange, and exergy destruction
Heat Exchange
Exergy Destruction
Counterflow cooling tower component model with mass exchange
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Using Computational Fluid Dynamics as a tool to identify system inefficiencies
Cooling systems cost are directly related to system inefficiencies Inefficiencies are directly related to system irreversibilities Irreversibilities can be identified using EXERGY analysis • We are perfecting the ability to compute EXERGY
DESTRUCTION within a CFD environment • We are EXPORTING that information to the Energy
Simulation tool (VTAS) using a POD technique perfected by our Georgia Tech partners (Joshi et al.)
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Contributions of laminar and turbulent flow components to Exergy destruction
Average:
Fluctuating:
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DYNAMIC AND HYBRID COOLING SYSTEMS
Binghamton University, Villanova University, University Texas-Arlington
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Dynamic On-Demand Cooling systems
• Synergistic control of cooling with load
• Distributed Close Coupled “Hybrid” cooling systems
• Cooling provided WHERE it is needed WHEN it is needed
Dynamic Local On-Demand Cooling
10 Temperature distribution in a traditional data center Source: http://inres.com/products/tileflow/overview.html
IT characteristics
• Dynamic IT load
• Each rack has different IT loads (Power dissipation)
Legacy air cooling systems
• Cooling does not follow the IT load • Cooling is not localized • Servers are nearly always OVERPROVISIONED
Dynamic data center IT and cooling operation Source: http://www.vigilent.com/news/2012-10-16-vigilent-optimizes-data-center-uptime.php
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Hybrid Cooling Systems
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• Hybrid cooling systems such as
in-row, rear-door and over-head
provide localized and dynamic
cooling
• They are a tradeoff between liquid cooling and air cooling
• Air is used to cool the CPUs keeping liquid outside of the racks
• Heat is extracted as close as possible to the server using an air-liquid, cross-flow heat exchanger
• The proximity of the heat exchanger to the heat source increases the opportunities to recover energy
Hybrid air liquid cooling systems; a) In-row cooling system, b) Rear door heat exchanger, c) Over head
cooling system
a) b)
c)
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Ongoing Research Active Control of DC Room Airflow Crossflow Air Liquid Heat Exchangers • Complete and compact models to describe
dynamic behavior • Experimental validation
Racks and servers • The transient behavior of servers and racks
has been modeled using numerical simulations and lab experiments
Complex room airflow and associated irreversibilities • CFD and analytical models used to develop
performance metrics and compact models
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Over head cooling system representation
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Non-uniform
hot fluid inlet temperature Temperature results Time constant
Modeling of HTX: Impact of heat capacity ratio
Heat capacity rate ratio effect
Results-for smaller E, there is a smaller difference
between the results for the non-uniform and uniform
temperature boundary condition.
Hot fluid
Final value Settling time
Uniform Non-
uniform ∆ Uniform
Non-uniform
∆
E=1 0.3868 0.3495 0.0373 11.52 11.12 0.4
E=0.5 0.2698 0.2492 0.0206 9.38 9.12 0.26
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Additional non-uniform inlet temperature Models
Model 1: Cold fluid non-uniform temperature boundary condition
Non-uniform temperature
boundary conditions are
imposed by making the
temperature vary linearly
across the inlet
All the non-uniform
temperature boundary
conditions have same
mean inlet temperature
Model 2: Hot and Cold fluid non-uniform temperature boundary conditions
The inlet temperature boundary conditions
are both non-uniform; in addition, the hot
fluid inlet temperature is a function of
time as well
Both hot and cold non-uniform
temperature boundary conditions are
specified as a linear function of location
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Dynamic HTX Measurements
Air Heater Section Flow Obstruction Gate Heat Exchanger under Test
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Dynamic variation of inlet water temperature Accomplished by controlled mixing of hot and cold fluid streams
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WASTE ENERGY RECOVERY Villanova University, Lead Site
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Data Center Waste Heat Recovery Concepts: Mapped by type of cooling
Organic Rankine Cycle
Absorption Refrigeration
HVAC/ Domestic hot
water
District Heating
Boiler feed water heating
Piezoelectrics
Thermoelectrics
Biomass processing
Desalination
Cooling Type Waste heat quality-Max (oC)
#1 (Air-cooled) 50-60
#2 ( Water-cooled) 70-75
#3 (Two-phase cooled) 75-80
# 1 :Yes # 2: Yes # 3: Yes
# 1 :Yes, with booster # 2: Yes # 3: Yes
# 1 :Yes # 2: Yes # 3: Yes
# 1 :Yes, with booster # 2: Yes # 3: Yes
# 1: No # 2: Yes # 3: Yes
# 1: Yes # 2: No # 3: No
# 1: No # 2: No # 3: Yes
# 1: Yes # 2: Yes # 3: Yes
# 1: No # 2: Yes # 3: Yes
Selected by ES2 Industrial mentors for further investigation
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Integration of Absorption Refrigeration and ORC to the server/rack cooling cycle
The on-chip two-phase cooling cycle developed by Thome research team at EPFL
The novel configuration to recover the waste heat and convert it to useful cooling- The condenser in on chip cooling cycle is replaced by generator of AR
Simplification of the on-chip cooling cycle and integration into on-chip cooling cycle
The novel configuration to recover the waste heat and convert it to electricity- The condenser in on chip cooling cycle is replaced by evaporator of ORC
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Facilities
The Laboratory for Advanced Thermal and Fluid Systems at
Villanova University (Ortega)
www.villanova.edu/latfs
NovaTherm: Villanova’s Thermal Management Laboratory
(Fleischer)
www.villanova.edu/novatherm
Multiscale System Analysis Laboratory (Wemhoff)
www.villanov.edu/MSAL
Thermal and Flow Management of Multiscale Systems
(Jones)
www.villanova.edu/TFM2S/
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3/17/2014 ES2 BRIEFING 21
2500 sq. ft. Air Cooling Laboratory 3 ft. Raised Floor
1000 sq. ft. Advanced Technology Laboratory
Labs A & B can be isolated Designed to allow remote launching of experiments and remote measurements Advanced Technology Lab designed for liquid cooling with maximum flexibility
The Villanova-Steel ORCA
Research Center (VSORC)
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Additional University Support
• Villanova NSF ES2 is part of the Villanova Center for the
Advancement of Sustainability in Engineering
• Our students receive University Tuition Fellowships
• Research Experiences for Undergraduate Students
(REU)
• Research Experiences for Teachers (RET)