EnerTechCapitalPresentation November18th,2013 Efficient Electricity Distribution through Digital Queueing Edison Almeida Chief Executive Officer edison@eCurv.com @almeidaed November27th,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 • Ongoingintegration 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.
Peak Demand = What You Pay 400 The Problem: Demand charges for the entiremonthare based on the highest15 minutes ofdemand. 4% of the peak energy used drives 36% of billed demand charges 300 200 DEMAND (KW) What You Use one month electricity usage metered in 15 minute increments Source:NSTAR customer interval data
400 The Solution: By dynamically “queueing” 4% of HVAC peak energy, eCurv can eliminate 40% of cooling costs. 300 What You Pay with eCurv 200 DEMAND (KW) one month electricity usage metered in 15 minute increments
The Outcome: Lower demandcharges, efficient power distribution,optimized operations Typical Demand Profile Demand Profile with eCurv Applied DEMAND (Kw) 20 Demand peaks 15 10 5 0 source:PG&E 15-minute test site interval data over 22 months
Cutting-edge software TypicalDemand HVACs cycle randomly, driven by thermostats, leading to unpredictablerun times that do not take electricity usage or costsinto account. Optimal Demand HVACs are operated for optimal performance, queued to mitigate instances of high demandwithoutdecreasing end user comfort, adding alayer of intelligence to the way an entreprise consumes electricity.
A Solution to Grid Congestion & Modernization Scalable Implementation Path 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. 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 Step 1: Baseline analysis Step 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 QueueingNetwork eCurv Core Application Servers Software Integration and APIs Queueable Loads ePlus Firewall / Load Balancer access requests operational instructions Real-Time Data Store Real time data streams Load Registry User Reporting Interface • Load requests access to eCurv’s Network • eCurv authenticates data source in Load Registry, submits remote registered device to Core Application Servers • Operational instructions calculated based on time of use, ambient conditions, and customer demand profile • Access grant instructions transmitted to remote load Archive Reports
eCurv Service Comparison ( t i m e ) Seconds eCurv Digital Queuing Alternative SmartGrid Solutions Automatic Generation Control Voltage Regulation Demand Response SCADA Virtual Power Plants Minutes I m p a c t Hours C u s t o m e r Days High Power Low Power MegaWatts 100’s killoWatts E l e c t r i c 10’s killoWatts D e m a n d Watts
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
Case Study: Massachusetts Municipal Utility • 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 1% Peak Energy Responsible for 21% of Peak Demand
The eCurv Difference — ElectricityAccessControl US 8,219,258 “Queuing accesstoasharedpower supply” • 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 foundationfor electricity distribution • * Grade of Service is the probability of loads being queued during a given • period of time
ThankYou Edison Almeida Chief Executive Officer edison@eCurv.com @almeidaed
Optimal operation of equipment,imperceptible condition changes,decreaseddemand — Digital Queueing providesmeasurable impact Digital Queueing Modulation — demonstrating a 40% cooling cost reduction Thermostat Modulation Current (Amps)andTemperature (ºF) PG&E Demand (kW) 8 hours,1 minute resolutionsource:PG&E 15-minute test site interval data,and eCurv field measurements