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REVAMP ENERGY 
WITH BIG DATA
Who We Are
• Use information technology to help China achieve
an energy efficient and low carbon future
Our Mission
Current Status
• 3 projects completed
• 10 employees (founded in 2014)
Team Experience
Pilot Customers / Partners
EQuota is an energy data SaaS company that delivers energy optimization, cost
saving and business intelligence for heavy industry, commercial buildings, and
distributed utilities in the Chinese market.
Current Funding
We are an engineer-driven team of serial entrepreneurs, China electric market veteran,
and field experts in smart grid, power systems, data science, and information technology
Our Team
Advisory
Board
Ke Ning
CTO
▪ Ex-Product Lead of Qualcomm
▪ PhD in Computer Engineering from
Northeastern and MSc. from MIT
Other core team
members
• Smart grid expert in demand response and power systems
• Ex-Facebook senior data scientist
• Ex-Bosch China VP of Finance
Charlotte Wang
CEO
▪ Serial entrepreneur
▪ 10+ years in clean tech
▪ Experience include: Fraunhofer, ADB,
China NDRC, and US DOE
▪ MSc. from MIT
EQuota Tech Roadmap
EQuota use cloud-based, data-driven solutions to deliver timely, scalable and comprehensive
energy efficiency results without additional retrofit investments
Utility Smart Meter Communication + Protocol Device EQuota cloud
Data Collection Data Transmission
One reading on a
single-point meter
Data Acquisition
Disaggregation
Algorithm
Real-Time Analytics 7:3 8:0 8:3 9:0
20
40
Power,W
Appliance
7:3 8:0 8:3 9:0
50
100
Power,W
Appliance
Uitlity Meter Data
Data
Disaggregation
Individual
equipment profiles
Data Analysis
Find Anomalies
Event Detection
Optimization
Action Plan
Dashboard
What’s
happening
Why does it
happen
What will
happen
What you
can do
Implementation
Energy
Saving
EQuota Core Competency
Product Demo
Our user-friendly dashboard presents comprehensive business insights at one glance
Reporting Analysis
Forecast Recom.
Product-Market Fit
Our disaggregation algorithms enable non-intrusive data acquisition and deliver timely &
scalable results to maximize clients energy efficiency
EQuota Advantage Market Standard
Minimal Hardware
1 Smart meter
No need to retrofit equipment
Substantial Hardware Investment
Most require hardware retrofit
(up to 100 sub-meter sensors)
Savings often depend on equipment upgrade
Fast Ramp-up
1 week installation + testing per building
Minimal demand on building engineering staff
Long Installation Period
3-6 months installation & testing
High demand on building engineering staff
Quick Result
Actionable operational recommendations start from
Week 2
Savings visible after only 1 month
Delayed Payback
Recommendations only available after installation
& testing is complete
Savings visible after 6-12 months
Result from Pilot Project
In the pilot with a high-end hotel, EQuota delivered 8% energy saving without any retrofit,
which is equivalent to 75.12 kg CO2 per room
| Results
| Project Profile & Scope
• Building Gross Area: 69,901 sq meters
• Air Conditioned Area: 30,000 sq meters
• Number of Rooms: 386
• Annual Electricity Use: 7,032,000 kwh/year
• Annual Electricity Cost: ¥6.4 Million RMB
• Covered Sections: 1 meter with 2 cooling
compressors + 4 chilling pumps
21%
27%
31%
21%
Lighting
HVAC
General Systems
Others
8%
10%
14%
39%
6%
23%
Cooling Compressor
Chilling Pump
AC End
Cold Water Pump
Cooling Tower
Heating Pump
| Major Findings
Major Problems Identified Recommendations
Technical: Mismatched
operational frequency
between compressor &
pump
- Modify real-time operations for compressor and cooling
pumps: up to 15% load reduction for base load;
- Allocate partially some of peak-time consumption to base
time
Non-technical energy loss - Connect front-desk check-in data into internal network;
- Establish annual agreement for current building audit
system
- Adopt real-time maintenance team dispatch & tracking
1. Kwh Reduction/month: 58,000 kWh (Sept 2015 vs Sept 2014) *
2. CO2 Reduction/room: 75,12 Kg CO2 (Sept 2015 vs Sept 2014) **
3. Electricity Bill Reduction/month: ¥82,000 (Sept 2015 vs Sept 2014)
4. Total annualized energy saving potential: 8% +
*Electricity bill % reduction higher than kWh reduction due to change in peak/off peak mix of electricity usage. No change in unit price of electricity
** 1Kwh of electricity = 0.522 kg CO2, total 386 rooms
At EQuota, we are building the next-generation of energy data services that delivers energy optimization,
cost saving and business intelligence for heavy industry, commercial buildings, and distributed utilities
specifically tailored for the Chinese market.
SAVE ENERGY
WITH BIG DATA
13/F, BLDG 2, 447 Zheng Li Rd, Shanghai
上海市杨浦区政⽴路477号同和国际⼤厦2号楼13层
Chunguang.Wang@equotaenergy.com
equotaenergy.com

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Equota Pitch Deck EN 2015

  • 2. Who We Are • Use information technology to help China achieve an energy efficient and low carbon future Our Mission Current Status • 3 projects completed • 10 employees (founded in 2014) Team Experience Pilot Customers / Partners EQuota is an energy data SaaS company that delivers energy optimization, cost saving and business intelligence for heavy industry, commercial buildings, and distributed utilities in the Chinese market. Current Funding
  • 3. We are an engineer-driven team of serial entrepreneurs, China electric market veteran, and field experts in smart grid, power systems, data science, and information technology Our Team Advisory Board Ke Ning CTO ▪ Ex-Product Lead of Qualcomm ▪ PhD in Computer Engineering from Northeastern and MSc. from MIT Other core team members • Smart grid expert in demand response and power systems • Ex-Facebook senior data scientist • Ex-Bosch China VP of Finance Charlotte Wang CEO ▪ Serial entrepreneur ▪ 10+ years in clean tech ▪ Experience include: Fraunhofer, ADB, China NDRC, and US DOE ▪ MSc. from MIT
  • 4. EQuota Tech Roadmap EQuota use cloud-based, data-driven solutions to deliver timely, scalable and comprehensive energy efficiency results without additional retrofit investments Utility Smart Meter Communication + Protocol Device EQuota cloud Data Collection Data Transmission One reading on a single-point meter Data Acquisition Disaggregation Algorithm Real-Time Analytics 7:3 8:0 8:3 9:0 20 40 Power,W Appliance 7:3 8:0 8:3 9:0 50 100 Power,W Appliance Uitlity Meter Data Data Disaggregation Individual equipment profiles Data Analysis Find Anomalies Event Detection Optimization Action Plan Dashboard What’s happening Why does it happen What will happen What you can do Implementation Energy Saving EQuota Core Competency
  • 5. Product Demo Our user-friendly dashboard presents comprehensive business insights at one glance Reporting Analysis Forecast Recom.
  • 6. Product-Market Fit Our disaggregation algorithms enable non-intrusive data acquisition and deliver timely & scalable results to maximize clients energy efficiency EQuota Advantage Market Standard Minimal Hardware 1 Smart meter No need to retrofit equipment Substantial Hardware Investment Most require hardware retrofit (up to 100 sub-meter sensors) Savings often depend on equipment upgrade Fast Ramp-up 1 week installation + testing per building Minimal demand on building engineering staff Long Installation Period 3-6 months installation & testing High demand on building engineering staff Quick Result Actionable operational recommendations start from Week 2 Savings visible after only 1 month Delayed Payback Recommendations only available after installation & testing is complete Savings visible after 6-12 months
  • 7. Result from Pilot Project In the pilot with a high-end hotel, EQuota delivered 8% energy saving without any retrofit, which is equivalent to 75.12 kg CO2 per room | Results | Project Profile & Scope • Building Gross Area: 69,901 sq meters • Air Conditioned Area: 30,000 sq meters • Number of Rooms: 386 • Annual Electricity Use: 7,032,000 kwh/year • Annual Electricity Cost: ¥6.4 Million RMB • Covered Sections: 1 meter with 2 cooling compressors + 4 chilling pumps 21% 27% 31% 21% Lighting HVAC General Systems Others 8% 10% 14% 39% 6% 23% Cooling Compressor Chilling Pump AC End Cold Water Pump Cooling Tower Heating Pump | Major Findings Major Problems Identified Recommendations Technical: Mismatched operational frequency between compressor & pump - Modify real-time operations for compressor and cooling pumps: up to 15% load reduction for base load; - Allocate partially some of peak-time consumption to base time Non-technical energy loss - Connect front-desk check-in data into internal network; - Establish annual agreement for current building audit system - Adopt real-time maintenance team dispatch & tracking 1. Kwh Reduction/month: 58,000 kWh (Sept 2015 vs Sept 2014) * 2. CO2 Reduction/room: 75,12 Kg CO2 (Sept 2015 vs Sept 2014) ** 3. Electricity Bill Reduction/month: ¥82,000 (Sept 2015 vs Sept 2014) 4. Total annualized energy saving potential: 8% + *Electricity bill % reduction higher than kWh reduction due to change in peak/off peak mix of electricity usage. No change in unit price of electricity ** 1Kwh of electricity = 0.522 kg CO2, total 386 rooms
  • 8. At EQuota, we are building the next-generation of energy data services that delivers energy optimization, cost saving and business intelligence for heavy industry, commercial buildings, and distributed utilities specifically tailored for the Chinese market. SAVE ENERGY WITH BIG DATA 13/F, BLDG 2, 447 Zheng Li Rd, Shanghai 上海市杨浦区政⽴路477号同和国际⼤厦2号楼13层 Chunguang.Wang@equotaenergy.com equotaenergy.com