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1 How OSIsoft addresses our business requirements Ice Energy Brian Parsonnet VP Technology, CTO.

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Presentation on theme: "1 How OSIsoft addresses our business requirements Ice Energy Brian Parsonnet VP Technology, CTO."— Presentation transcript:

1 1 How OSIsoft addresses our business requirements Ice Energy Brian Parsonnet VP Technology, CTO

2 2 Demand for peak electricity is growing faster than the base  “Statewide annual peak demand is projected to grow, on average, 850 MW per year for the next 10 years” Source: California Energy Commission California Energy Demand 2008–2018, CEC-200-2007-015-SF Power plant utilization declines Peak demand grows

3 3 3 Air Conditioning Dominates Summer Energy Use  Drives higher cost of energy  Primary cause of rolling blackouts & equipment failure  Creates need to build new peaker power plants  Highly polluting generation assets Typical Summer Day Load Profile Base load Commercial Lighting Commercial A/C Residential A/C A/C is ~70% of all On Peak energy used Source: California Energy Commission 6 a.m.12 noon6 p.m.

4 4 Summer weekday variable electricity cost Source: Pacific Gas and Electric Company Time Dependent Valuation (TDV) – Economics Methodology

5 5 A/C peak demand is the root cause of summer grid problems and is driving the increasing cost of electrical energy 98% of the number of buildings use small air conditioners 80 million units are installed in the U.S. 5 million units are shipped annually

6 6 Ice Energy, Inc  Designs, manufactures, and sells Ice Storage Air Conditioning (ISAC) Systems to address critical issues in the energy grid  Peak Demand / Congestion  Fuel Costs  Emissions  Asset Costs  ISAC addresses the root cause behind the peak energy problem  Cost Effective, Scalable, Reliable  Complementary across the board: Utilities HVAC industry and infrastructure Renewable Energy Environment Comfort

7 7 IB30: A Distributed Energy Resource  The “Ideal Battery”  Reduces 5.5 KW of on-peak demand  Shifts 32 KWH (95%) of A/C energy to off-peak 5 MWH of Peak Shift Annually  Reduces Carbon & NOx Emissions by ~50%  Total round-trip efficiency is 100% Operational efficiency gains more than offset inherent storage inefficiencies  Provides cooling for 6 – 10 hours  Nominal settings are from 12 noon to 6 pm (6 hours)  Runs autonomously or can be remotely dispatched  SmartGrid Ready  Can be regionally aggregated to Multi-MW scale  100% of installed Ice Bears are on-line

8 8 Ice Bear 30

9 9 Ice Bear 30 typical rooftop installation

10 10 KW Demand for 24-Hour Cooling Cycle

11 11 Fire Station, Anaheim, California

12 12 CoolData ® Smart Grid Technology Platform Si Manufacturing Interval Meter Data, Average of 5 Consecutive Weekdays Actual meter data before 5, IB 50 units Actual meter data after Utility on-peak period Central control Remote data storage Highly scalable Ice Energy’s CoolData  Plug-in Hybrid Charge Control  Demand Response  Equipment Health  Solar PV

13 13 The Ice Bear is part of the SmartGrid

14 14 OSIsoft in Energy & Smart Grid  Power Generation, Transmission & Distribution  100% of US ISOs  50% of the mid and large sized power producers  Over 200 GW of total 350 GW average power generated & transmitted in US daily is monitored by PI software  Over 50% of ITOs

15 15 OSISoft Smart Grid Touch Points

16 Standard SCADA * Architecture * Supervisory Control and Data Acquisition

17 CoolData is an n-Tiered Architecture User Interface (Computer, hand-held, phone) Utilities, Users, Field Service, Vendors, Builders… Ice Bear & 3 rd Party Assets Asset Control, Data Logging, Field Integration Control, Programming, Configuration, Data Data Historian, Customer Configuration, Service Records, Tariffs, ETL, … Utility Integration, Business Automation M&V, Diagnostics, Analytics, DER Optimization Security, Personality, Visualization Web Portal Business Logic Database Presentation Layer Field Data Access CoolData Controller Field Assets

18 Aggregated Control and Data Acquisition PI PN IE Lan Supervisory Control, M&V IEDs Field Controller Corporate Apps Internet, Wireless, BPL Comm Server DER Optimizer Field Networks Non-IED LT Web Portal Business Logic Database Presentation Layer Field Data Access CoolData Controller Field Assets

19 19 CoolData SmartGrid Controller  Controls the Ice Bear  Autonomous or remote dispatch  Data Logging  Real-time status, sub-metering, and data monitoring of customer equipment  Supports 500+ sensors, relays  “SmartGrid” ready  Physical & Cyber security  Built-in network communications  Remotely configurable  Direct load control for demand response of other building assets  Can be behind firewalls without violating customer policies  It gets smarter over time…  Remotely reprogrammable  Performance analysis and automated diagnostics The CoolData Controller is an extension of Ice Energy’s Infrastructure Local Terminal

20 20 The CoolData Environment is Data Rich

21 Data History  Data Logging  In the field All sensors are recorded every 5 minutes (typical) Each 5 minute record is average of 10 second readings 5 minutes adjustable down to 30 seconds Uploads every 20 minutes (typical), approx 1 week memory  All raw data is retained permanently in PI  Virtual Sensors  Operating Mode, Status, Engineering Calcs  Events  Required for M&V, and Monitoring, and Diagnostics

22 Monitoring & Diags  Monitoring (Symptoms)  All points are checked for mode-based boundary limits There are currently more then 100 point checks per data record  Auto-generation of alerts  Auto-dispatch of service personnel  Diagnostics (Faults)  Diagnostic inputs HVAC and configuration data Application type Local ambient Customer usage patterns…  Analyzes the alerts and trends using Empirical models Rule-based models 1st principle models  Diagnostics apply to 3rd party equipment too Eg, DX Freeze up

23 Portal M&VOSIsoft PI Customer / Site PI Data Viewer CoolData Server FMS CoolData Controller Service Marketing Workflow Automation Scheduler, Optimizer Monitoring & Diags CoolData Overview

24 Ice Energy Historian Requirements  Data History  25 points, at 5 minute intervals, x150,000 Ice Bears ~4 Million Data Streams ~1B Data Points per year  M&V: All data must be permanently saved  Applications  Supervisory control of 150,000 assets  Optimization  Analysis  Reporting  Users  Support 50,000 web-based customers Sporadic requests  Support 100 partners with high data rate Continuous on-line access  6 Sigma reliability

25 DER Control PI Historian PN IE Lan Supervisory Control, M&V IEDs Field Controller Corporate Apps Internet, Wireless, BPL Comm Server DER Optimizer Field Networks Non-IED LT Web Portal Business Logic Presentation Layer Field Data Access CoolData Controller Field Assets PI 3 rd Party Database

26 Utility Pilot Programs Unitil Nevada Power Tallahassee Electric CT Energy Partners SCPPA* First Energy TVA AEP HECO & MECO PG&E SCE Redding SDG&E PREPA *SCPPA includes Anaheim, Azusa, Burbank, Glendale, Imperial Irrigation District, LADWP, Pasadena, Riverside Ontario Power Authority CPS San Antonio Green = Signed Pilots & Programs Blue = Qualified Opportunities

27 OSIsoft PI at Ice Energy  Heart of Ice Energy’s CoolData Architecture  Reliable  Scalable Supports 30,000 On-line Users Supports 100 GW of Ice Bear DER  Supports shadow servers at partner sites for local data access  OSIsoft is a strategic partner for Ice Energy  Enterprise Agreement  Partnership valued for technology, relationships, business opportunities, shared vision


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