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EnerTec h Capita l Presentation Novembe r 18 th , 2013. Efficient Electricity Distribution through Digital Queueing Edison Almeida Chief Executive Officer [email protected] @almeidaed. Novembe r 27 th , 2013 SmartGrid Forum 2013 – São Paulo. About eCurv. - PowerPoint PPT Presentation
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EnerTech Capital PresentationNovember 18th, 2013
Efficient Electricity Distribution throughDigital Queueing
Edison Almeida Chief Executive Officer [email protected]
@almeidaed
November 27th, 2013
SmartGrid Forum 2013 – São Paulo
About eCurv
• Venture-backed Cambridge, MA company founded in 2011• Awarded a seminal USPTO patent for the digital “queueing” of energy loads
onto a shared energy source…i.e. the “grid” in July, 2012• Successfully completed year-long evaluation with a Fortune 15
telecommunications company – currently negotiating an MSA for system wide deployment
• Ongoing integration of our software with BacNET automation systems for implementation in commercial and municipal properties
• Management team deeply experienced in Software Development, Systems Integration, Cyber-Security, and Market Development Strategy
eCurv’s Technology Foundation
Queuing algorithms have enabled the profitable and virtually unconstrained growth in the number of customers served and amount of data transported by the Mobile Telecommunications and Information Technology sectors.
eCurv's patented access control technology delivers the same benefits of scalability and flexibility to both end users and grid operators.
Our network driven queuing solution, delivered directly to utility customers, limits coincident peaks, reduces endpoint costs, and expands both the resiliency and utility of congested power lines.
The Problem:Demand charges for the entire month are based on the highest 15 minutes of demand.
Source: NSTAR customer interval data
What You Useone month electricity usage metered in 15 minute increments
Peak Demand = What You Pay
4% of the peak energy used drives 36% of billed demand charges
DEM
AN
D
(KW
)
400
300
200
The Solution:By dynamically “queueing” 4% of HVAC peak energy, eCurv can eliminate 40% of cooling costs.
one month electricity usage metered in 15 minute increments
What You Pay with eCurv
DEM
AN
D
(KW
)
400
300
200
The Outcome:Lower demand charges, efficient power distribution, optimized operations
0source: PG&E 15-minute test site interval data over 22 months
DEM
AN
D
(Kw
)
15
10
5
Demand peaks20
Typical Demand Profile Demand Profile with eCurv Applied
Cutting-edge software
Typical DemandHVACs cycle randomly, driven by thermostats, leading to unpredictable run times that do not take electricity usage or costs into account.
Optimal DemandHVACs are operated for optimal performance, queued to mitigate instances of high demand without decreasing end user comfort, adding a layer of intelligence to the way an entreprise consumes electricity.
From queuing roof top units to entire real estate portfolios — even across geographic locations — eCurv’s software-as-a-service provides the intelligent electricity access control needed to achieve savings on a feeder by feeder basis.
Scalable Implementation Path
Existing BACnet controlled property Add eCurv micro-server + pulse meter SCADA device controls installed Add eCurv site controller + pulse meter Thermostat only controls Add partner BACnet + eCurv micro-server + pulse meter
A Solution to Grid Congestion & Modernization
Step 1: Baseline analysisStep 2: Connect to eCurv’s cloud servers via VPN Ethernet or secure M2M wireless network Step 3: Start limiting demand and gaining electrical insight
Elegant, Secure and Scalable
Firewall / Load Balancer
Real time data streams
1. Load requests access to eCurv’s Network2. eCurv authenticates data source in Load Registry, submits
remote registered device to Core Application Servers3. Operational instructions calculated based on time of use,
ambient conditions, and customer demand profile4. Access grant instructions transmitted to remote load
User Reporting Interface
Software Integration and APIs
operational instructionsReal-Time Data Store
Load Registry
Archive
Reports
Core Application Servers
access requests
Queueable Loads
ePlus
Queueing Network
eCurv
100’s killoWatts
E l e c tr i c
10’s killoWatts
D e m a n d
Cu
st
om
er
Im
pa
ct
(t
im
e)
Day
sH
ou
rs
Min
ute
sS
econ
ds
MegaWatts
Watts
Low Power
High Power
eCurv Service Comparison
eCurv Digital Queuing
Alternative SmartGrid Solutions
Automatic Generation Control
Voltage Regulation
Demand Response
SCADA
Virtual Power Plants
Case Study: Telecom Operator
•Successfully field tested for over one year•Approved by multiple corporate constituencies (technical, operational, senior management)•Master Services Agreement in process, paving the way for the distribution of eCurv’s technology across entire 58,000 site network• Sites in operation: 1,000 in 2014 – 4,000 in 2015 – 10,000 in 2016 – 20,000 by 2017• Projected annual gross savings: $20,000,000
1% Peak Energy Responsible for 21% of Peak Demand
Business Case:• 6,400 kW peak mitigation• $1,037,000 upfront investment• $474,200 annual savings*
• 27-month payback
eCurv Implementation• Maximum queue of 6-minutes• 3,200 loads (5 kW each)
* Net Savings after eCurv’s annual software service fee
Case Study: Massachusetts Municipal Utility
Results:
• Increased Service Capacity• User controlled Grade of Service
(GoS)* • Imperceptible change in service
quality• Electricity delivered for less cost• Easier integration of renewable
resources• New foundation for electricity
distribution* Grade of Service is the probability of loads being queued during a given period of time
US 8,219,258 “Queuing access to a shared power supply”
The eCurv Difference — Electricity Access Control
Thermostat Modulation
Digital Queueing Modulation —demonstrating a 40% cooling cost reduction
8 hours, 1 minute resolution source: PG&E 15-minute test site interval data, and eCurv field measurements
PG
&E D
em
and
(k
W)
Cu
rrent
(Am
ps)
an
d
Tem
pera
ture
(ºF
)
Optimal operation of equipment, imperceptible condition changes, decreased demand— Digital Queueing provides measurable impact