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Ice Energy's Smart Grid Infrastructure

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Ice Energy's Smart Grid Infrastructure Brian Parsonnet VP Technology, CTO * * * * * * * * * * * * * * * * * OSIsoft ( ) and Ice Energy (i e) i You re ... – PowerPoint PPT presentation

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Title: Ice Energy's Smart Grid Infrastructure


1
Ice Energy's Smart Grid Infrastructure Brian
Parsonnet VP Technology, CTO
2
OSIsoft (?) and Ice Energy (i e)
ei? 1 0
Youre Irrational!!
Get Real!!
3
Ice Bear A Distributed Energy Resource
  • The Ideal Battery
  • Reduces 6 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
  • Consumes the same amount of energy as a standard
    DX HVAC system
  • 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
  • Aggregated to Multi-MW scale
  • 100 on-line

4
Ice Bear Typical Rooftop Installation
5
kW Demand over 24-Hour Cooling Cycle
Standard Cooling (8 kW)
Fan Only during Ice Melt (1.7 kW)
Ice Make
Ice Make
Ice Melt Cooling (.3 kW)
6
Ice Energy is more than just the Ice Bear
  • The power grid is the largest machine ever made
    by mankind
  • Millions of components working together, in true
    synchrony, yet fault tolerant

7
Ice Energy is more than just the Ice Bear
  • Utilities have their ways of integrating and
    controlling this massive resource
  • Secure, complex, tightly integrated control
    environment
  • Historically, a closed architecture
  • New technologies and drivers are forcing change
  • Renewable Sources, Internet, Deregulation, Smart
    Devices, Open Architectures
  • Industry responsethe Smart Grid.
  • How we facilitate integration is critical to
    large scale deployment

8
Ice Energy is more than just the Ice Bear
  • Integrating at the device level is difficult
  • Burdened with communication, safety, control, and
    security issues
  • Smart Meter, PCT, RAS, Local Generation examples
  • The Ice Bear has avoided these issues, as a
    device behind the meter
  • Influx of new players to address this problem
  • We can anticipate 20 years of development, new
    standards, changing industry structure
  • Integrating within SCADA is comparatively easy
  • Supervisory Control is common, and easily
    integrated
  • Data Historians are a ubiquitous tool for Data
    Access

9
Utility Requirements
  • Can we control it?
  • The prospect of controlling 20,000 separate Ice
    Bears is daunting
  • Can we rely on it?
  • Availability is critical. And can you really
    manage 20,000 units?
  • Can you prove it?
  • Information / Data Reporting
  • Does it work with what I have?
  • Regulated and closed architecture
  • Will it work with SmartGrid?
  • This is a moving target, with lots of players.
    How do we fit?

10
The Utilitys Perspective SCADA
11
Ice Energy Utility Solution
  • Integrate simply with utility SCADA Systems
    (Supervisory Control And Data Acquisition)
  • Supervisory Control
  • Phase 1 Utility defines standard Ice Bear
    Operation
  • Phase 2 Utility modifies control strategy
    monthly, weekly, daily, or hourly
  • Provide an interface as per each utilitys needs
  • Data Acquisition
  • Provide PI connectivity to the utility to serve
    results
  • Connects securely, seamlessly to our server
  • Utility middleware is bypassed
  • Reducing risk, constraints, complexity, and time

12
Ice Energy Software Infrastructure
User Interface (Computer, hand-held,
phone) Utilities, Users, Field Service, Vendors,
Builders
Presentation Layer
Visualization, Presentation Logic Security,
Personality
Web Portal
Integration (Utilities, Service, Market
Data) MV, Diagnostics, Analytics, DER
Optimization Business Automation (Billing,
Reporting)
Business Logic
Data Historian, Customer Configuration
Rules, Service Records, Tariffs, ETL,
Database
Field Data Access
Data Upload, Control, Programming, Configuration
Ice Bear 3rd Party Asset Control, Data
Logging HVAC FMS Integration, Field Network
Integ.
CoolData Controller
Field Assets
Ice Bear 3rd Party Assets
13
Ice Energy Software Technologies
Presentation Layer
Microsoft, Apple
Web Portal
LogiFusion, .NET 3.5
Business Logic
Analytica, Ultimus, Microsoft
Database
OSISoft PI, Sharepoint, SQL, Solomon
Field Data Access
SQL Server, Custom Drivers
CoolData Controller
NI Lab View, Lua, C, C,
Field Assets
Ice Bear Customer Assets
14
LogiWorks Application Server
Monitoring Services
User Interaction Services
Application Framework Services
ProcessServices
Community Services
Information Services
Works Services Business Information Services
Works Process Business Process Services
Works Integration Business Integration Points
Works Modules Business
Presentation Services
Works Portal Business Application Servic
es
Works Messaging
Application Access Services
Data Central Services
Operational Systems
WorksOffice Integration
WorksDataPortal
Works System Integration
Enterprise applications
Device data
Enterprise data
15
CoolData SmartGrid Controller
  • SmartGrid ready
  • Network communications
  • Local scheduling and remote dispatch
  • Direct load control for demand response of other
    building assets
  • Real-time status, sub-metering, and data
    monitoring of customer equipment
  • Performance analysis and automated diagnostics
  • Configuration management
  • Physical Cyber security
  • 1-Wire Dallas Sensor Network
  • NI LabVIEW Application Layer
  • Web Server
  • OSIsoft, PI Enterprise Layer

The CoolData Controller is part of the CoolData
Network
16
OSIsofts PI system
  • 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
  • Heavily involved in SmartGrid
  • PI Features
  • Can process 20,000,000 continuous data streams
  • Stores 250,000 events per second
  • Serves 8,000,000 points per second to clients and
    other applications
  • Architecture
  • Uptime 99.995 (100 with 3-server collective)
  • Shadow Servers for auto-replication at remote
    locations

17
OSIsoft PI at Ice Energy
  • Ice Energy PI Infrastructure Reliable, Scalable
  • Heart of Ice Energys CoolData Architecture
  • Supports 30,000 On-line Users
  • Supports 100 GW of Ice Bear distributed resource
  • Supports on-site shadow servers at utilities for
    local data access
  • Strategic Relationship
  • Ice Energy and OSIsoft entered into an Enterprise
    Licensing Agreement Dec 07
  • Unlimited use of OSIsoft technologies
  • Proactive monitoring of the PI infrastructure by
    OSIsoft
  • Access to OSIsofts Center of Excellence

18
PI is at the heart of the CoolData system
Portal
Workflow
Data Viewer
Marketing
Monitoring Diags
OSIsoft PI
Customer / Site DB
CoolData Server
Scheduler, Optimizer
FMS
CoolData Controller
Service
19
Monitoring Diagnostics
Absolute Sensor Limits (ACE)
Raw Cleansed Data (PI)
Modal Sensor Limits (ACE)
Op Mode (ACE)
PI Notifications
KPIs (ACE)
Application Data (AF)
Auto Fault Diagnostics
20
Monitoring
Upper Bound
Signal
Lower Bound
21
Our Infrastructure is SCADA compatible
Presentation Layer
Corporate Apps
PN
Web Portal
Supervisory Control, MV
Utility Soltn
Business Logic
IE Lan
Database
PI
DER Optimizer
PI
Field Data Access
Comm Server
Internet, Wireless, BPL
Field Controller
CoolData Controller
LT
Field Networks
Field Assets
Non-IED
IEDs
22
Diagnostic Migration
  • Phase 1
  • Remote engineer creates off-line tool
  • Results daily / weekly

Presentation Layer
Web Portal
  • Phase 2
  • Algorithm moves to the server, applied to all
    units
  • Results are hourly

Business Logic
Database
Field Data Access
  • Phase 3
  • Algorithm moves to the CoolData Controller
  • Results are immediate

CoolData Controller
Field Assets
23
DER Control Phase 1 Autonomous
1) Utility defines operating schedule
Presentation Layer
5) Utility dashboard
Web Portal
Business Logic
2) CoolData infrastructure distributes
configurations
Database
4) CoolData MV
Field Data Access
CoolData Controller
3) Units control themselves, as per daily schedule
Field Assets
24
DER Control Phase 2 SCADA
6) Utility creates special loading orders, as
needed
  • Utility issues loading order
  • For immediate or scheduled deployment
  • Shed or add load
  • Scoped by region, transmission, other
  • Temporary or permanent changes

10) Utility reporting
7) DER Optimizer determines method, and
acknowledges orders
  • DER Optimizer understands
  • GIS and TD locations
  • Maintenance / operational status
  • Customer imposed restrictions
  • Historical performance / expectation
  • Communication limitations
  • Additional DR assets

9) CoolData MV
8) Units override default behavior as per request
25
Large Scale Utility Requirements
  • Can we control it?
  • Phase 1 Utility provides nothing more than a
    standard operating schedule
  • Phase 2 We provide a Supervisory Control
    interface to the utility, designed to meet their
    specific needs
  • Can we rely on it?
  • OSIsoft is a proven reliable backbone, already
    vetted and accepted by the utility industry.
  • Ice Bear reliability has been proven in
    Utility-sponsored pilots and customer
    installations
  • Can you prove it?
  • You have all your data via a dedicated PI Server
    at your site.
  • Does it work with what I have?
  • Our solution integrates PI-to-PI, and does not
    require integration to SCADA middleware. In
    fact, we enable a faster, easier path for
    connectivity to additional DSM resources.
  • Will it work with SmartGrid?
  • Yes. We dont impose ourselves on the
    architecture, rather, we are designed to fill in
    the gaps and dovetail with what exists.

26
Thank You
  • Questions?
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