Paolo Gemma of Huawei discusses increasing energy efficiency in data centers through modular solutions. Huawei's smart modular data center solutions can adapt to diverse scenarios and provide reliable, efficient and simple operation. Their solutions utilize technologies like AI to optimize cooling and power usage efficiency, reducing energy consumption by up to 15% compared to traditional data centers. Prefabricated modules can also reduce time to market for new data centers by 50%.

1. Paolo Gemma
Senior Expert Huawei Network Energy Europe
ITU-T SG5 Working Party 2/5 “Environment, energy efficiency and the circular economy”
Increase Energy Efficiency in
Data Center

2. Network Energy is one of Huawei's key product lines
Enterprise BG
Cloud BU
Intelligent
Computing
ITNetwork Energy
Carrier BG Consumer BGNetwork Products &
Solutions
Telecom Energy
Smart site
Telecom power
Hybrid Power
BMP/CP
BMP / POL / CP
Smart PV
Smart PV solution
PV controller
PV
Cloud
Grid
……
Data Center Facilities
Modular Data Center
Prefabricated Data Center
UPS, Cooling, DCIM
Cloud & AI Product
and Service
mPower Solution
(OBCMCUPowertrainBMS)
OSS
NB-
IoT/4G/5G
EV EV Charger Grid
mPower

3. Smart Modular DC solution adapts to diverse scenarios
Micro & Small DC
FusionModule500/800
Medium & Large DC
FusionModule2000/5000
Small DC
FusionModule1000A
Medium & Large DC
FusionModule1000B
Multi-
Scenario
Solutions
UPS2000-A/G
1-20kVA
Subsyste
m
“DCIM+” Management System
UPS5000-E
25 - 800 kVA
UPS5000-S
50-800kVA
UPS5000-S-FP
1200kVA
NetCol5000-A NetCol8000-C
11~42kW 62 - 253kW
NetCol5000-C
30~80kW
Indoor Outdoor
NetCol8000-E
220 - 440kW
NetCol8000-A
13~100kW
NetEco6000
Li-ion
Battery

4. Modular UPS: More Reliable, Efficient, and Simple
UPS5000
25-1600kVA
Reliable
Efficient
Simple
Full redundancy
design
Component：
1+1
Redundancy
Module：N+X
Redundancy
System: Dual
communication
bus redundancy
System at
97.1%
efficient
5 minutes
complete module
maintenance
97.1%96% VS
Take 400kVA and 40% load rate as examples
50kVA Power Module
3U high &97.5% Efficiency
VS
Traditional UPS Huawei Modular UPS
Take professional
engineer 8+ hrs
Take labor 5 mins
1% efficiency increment saves about $30k
in a life cycle

5. Design
Green solutions save 40% energy
TCO/PUE balance
Saves $25,765,000 electricity cost
Scenario: 1000 racks, 5kW/rack, 10 years’ life cycle, 50% IT load rate, electricity cost 0.15 USD/kWh, compared with PUE2.0
10 years’ electricity cost = PUE × Racks Quantity × Power per rack × IT load rate × Time(24*365*10) × kWh electricity cost
• DC inverter cooling (in-row & in-room)
• Modular DC hot/cold aisle containment
• Optional free cooling
Algorithm
Thermal
condition 温
度
IT
loadA/C
iCooling
Cooling
PUE
TCO
2.01.21.1
CAPEX
OPEX
Cost
• 97.1% industry-leading
efficiency modular UPS
Power
UPS Smart
Hibernation
IT Load Rate
PUE 1.2
with free cooling
PUE 1.06
module level

6. AI enables maximum data center TVO & efficiency
011010010001010
01
011010010001010
01
100100110
1
iManager
SPC intelligent management @AI
Automatic asset management
iCooling
Energy efficiency optimization @AI
Automatic detection of refrigerant leakage @AI
Precise temperature control
iPower
Battery SOC/SOH @AI
Proactive fault prevention @AI
Automatic fault isolation
AI
Resource Utilization
Increased by 20%
Passive
Alarm
Proactive
Prevention
Energy Consumption
Decreased by 8%
TVO: Total Value of Ownership

7. iPower: whole chain monitoring, AI proactive prevention
Whole Chain Digitalized Monitoring
Mains
D.G
Smart UPS
LOAD
PDU
ATS
PDU
Smart Battery
Management
Smart Power
Distribution
AI Enable Dumb Devices Intelligent
iBAT iCAP
Health Estimation
iFAN
Life EstimationSOH Algorithm
Alarm filtering:
One Stop Fault
Detection
Fault isolation:
Prevent Fault Spread
Pre-Alarm Key Node
Warnings
Benefits
Temperature Detection
Breakers
…

8. iCooling@AI: system-level intelligent energy efficiency
optimization
(2) Data governance (3) Model training
(1) Data collection
PUE prediction accuracy
99.5%@0.005
• 50% faster response
• Energy saving 8%-15%
19+2 PUE feature parameters
are selected from massive data.
Based on the actual climate and SLA conditions, the iCooling system can automatically achieve the best PUE parameters
of the cooling system through DNN algorithm.
(4) Reasoning and decision
• 700+ data collection points
• Monitoring the cooling system in
real time.

9. End-2-End Heat Dissipation Design
30%
≥30%
3%
9%
Derating margin reserved
value
Counter-rotating fans, wind
speed improved
3D VC heat dissipation efficiency higher
than that of common VC heat dissipation
Flow-dividing air duct and independent air
channels for BIO module improve heat
dissipation efficiency
75%
Cellular board design increases
porosity rate of front panel
45 ℃
Stable operating
at high
temperature

10. DEMT is a set of technologies that dynamically, intelligently adjust the component power consumption in real
time according to various input parameters, such as loads and ambient temperature.
Frequency Modulation
& Hibernation
Up to 30% power
saving
MIMO Speed Tuning
Up to 5% power
saving
PID Technology
Up to 5.4% power
saving
DTS 2.0 Technology
Up to 5.3% power
saving
Patented Dynamic Energy Management Technology (DEMT)

11. • PUE is reduced to 1.25@London, Saved 43% cost
• “Fusion-iCooling”@AI, Reduce PUE 0.085
• Saving 20% Space Compared to Traditional
• Fast Delivery, Quick Delivery in Four Months
• Maintenance is faster and easier
可靠
• One-click fault information collection
• Partial failure not affect the whole system
简单
Efficient
Simple
Reliable
FusionCol: Extreme Energy Saving, Faster Delivery
FusionCol

12. 0.7
0.4
Chiller+FC NetEco8000-E
Power Charge （M$）
1.34
1.255
Chiller+FC NetEco8000-E
PUE
(Model: London xx Data Center, Racks is 1500, load is 5kW/R, the load rate is 30%-50%, and the
electricity fee is 0.128 $/kWh. ）
Reduce
0.085
Save
0.3M$
(43%)
PUE 1.255@ London, Saved 43% Power Consumption
London
High
T(℃)
Low
T(℃)
Ave T(℃)Ave Humi%
Ave Web
T(℃)
32.3 -5.9 11.6 75.2 9
Dry
Mode
Spray
Mode
Hybrid
Mode
DX Mode pPUE
7217h 1478h 65h 0 0.088
★
Free
cooling
Chiller
Free
cooling
For example London, Start Different Types of
Mode
Reduce 0.085 Annual PUE, Save 43% Power
Consumption

13. Prefabricated and pretested, TTM shortened by 50%
Factory manufacturing and site preparation are
performed at the same time
Pre-test in factory before delivery
TTM：35 months15 months Factory quality assurance and simple onsite verification

14. Multi-scenario Adaptation, Reduction in Site Selection
Difficulty
Gui'an Cloud Data Center Phase 1, Reused
Warehouse Factory
62 smart modules, 1108 racks
Source: China Unicom in Beijing and Gui’an
DC
Upgrade
Warehouse
Utilization
Outdoor
Application Source: MTN project
EU provider V: DC reconstruction with distributed DC oriented to on-demand
expansion; Reuse the existing conditions of the DC room and directly deploy.

15. Copyright©2018 Huawei Technologies Co., Ltd.
All Rights Reserved.
The information in this document may contain predictive
statements including, without limitation, statements regarding
the future financial and operating results, future product
portfolio, new technology, etc. There are a number of factors that
could cause actual results and developments to differ materially
from those expressed or implied in the predictive statements.
Therefore, such information is provided for reference purpose
only and constitutes neither an offer nor an acceptance. Huawei
may change the information at any time without notice.
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