Ice Energy's Smart Grid Infrastructure Brian Parsonnet VP Technology, CTO.

Slides:



Advertisements
Similar presentations
DAQMASTER Features and Benefits
Advertisements

June Intelligently Connecting Plug-In Vehicles & the Grid.
Pervasive Wireless Solutions © Copyright IBM Corporation 2004 IBM La Gaude Smart Home / Intelligent Building Jean-Michel Corrieu IBM Europe Technical Manager.
Grow your business with your head in the cloud. What is Cloud Computing ? Internet-based computing, whereby shared resources, software and information.
OCEAN DATA SYSTEMS Presents Wonderware HMI Reports
Smart Buildings for a Smart Grid Technology & Services to Make Buildings Grid Responsive James Dagley, Vice President of Channel Marketing and Strategy.
XProtect ® Professional Efficient solutions for mid-sized installations.
Nano-10 based Building Automation System (BAS) Jesús BaezMarch, 2011.
Introduction Build and impact metric data provided by the SGIG recipients convey the type and extent of technology deployment, as well as its effect on.
SSRS 2008 Architecture Improvements Scale-out SSRS 2008 Report Engine Scalability Improvements.
STAMI (ST Advanced Metering Interface) Web Tool for the advanced management of LV Network Trends in Power Industry in the European Context VIII Antonello.
0 © 2011 Silver Spring Networks. All rights reserved. Building the Smart Grid.
Introduction to Systems Management Server 2003 Tyler S. Farmer Sr. Technology Specialist II Education Solutions Group Microsoft Corporation.
Lineage Power - Total Efficiency TM Smart Grid A Telecom / Commercial consumer’s perspective Paul Smith – Technical Marketing Manager, Lineage Power
Home Area Networks …Expect More Mohan Wanchoo Jasmine Systems, Inc.
Vendor Briefing May 26, 2006 AMI Overview & Communications TCM.
Workforce & Engineering Design Optimization Plenary Session: Enterprise Resource Planning for Infrastructure and Utilities Gurgaon India Feb GIS.
Empowering Business in Real Time. © Copyright 2009, OSIsoft Inc. All rights Reserved. Virtualization and HA PI Systems: Three strategies to keep your PI.
Tom Sheridan IT Director Gas Technology Institute (GTI)
OPC WPFHMI.NET.
Business Intelligence Dr. Mahdi Esmaeili 1. Technical Infrastructure Evaluation Hardware Network Middleware Database Management Systems Tools and Standards.
SaaS, PaaS & TaaS By: Raza Usmani
OPC Alarm.NET.
1 © 2006 OSIsoft, Inc. – Company Confidential Enterprise Agreement (EA) Offering And Benefits May 2007 Value Now, Value Over Time.
TIMKEN Bearing Diagnostics and Prognostics Using PI Reducing Unplanned Downtime Rich Browner - Program Manager Reliability Solutions The Timken Company,
1 Empowering Business in Real Time. © Copyright 2009, OSIsoft Inc. All rights Reserved. Reaching across boundaries, collaboration, Web Parts, and Notifications.
Plan Introduction What is Cloud Computing?
1 Department of Water and Power City of Los Angeles Automatic Meter Infrastructure Program Mariko Marianes and John Yu.
Today’s Enterprise Energy Management Systems: What to look for…. Mark A. Noyes CEO and President Cambridge, Massachusetts.
METERING SOLUTIONS Leon de Nysschen 20 April 2017.
2015 World Forum on Energy Regulation May 25, 2015
Solutions with Wonderware Historian and Active Factory Client Richard Anderson Regional Sales Manager.
Cloud computing is the use of computing resources (hardware and software) that are delivered as a service over the Internet. Cloud is the metaphor for.
HARVEST GROUP Smart Grid Harvest Power Technologies 30 th Aug 2014.
1 How OSIsoft addresses our business requirements Ice Energy Brian Parsonnet VP Technology, CTO.
Summary Device protocols tied intimately to applications. A need to significantly reduce critical data update times. Current network bandwidth consumption.
FirstEnergy / Jersey Central Power & Light Integrated Distributed Energy Resources (IDER) Joseph Waligorski FirstEnergy Grid-InterOp 2009 Denver, CO November.
April 2011 November 2010.
©2005 Aspen Technology, Inc. All rights reserved. Oil & Gas Integrated Operations using aspenONE Nick Barnett.
CS480 Computer Science Seminar Introduction to Microsoft Solutions Framework (MSF)
Smart Grid and the Game Changing Applications Phenomena Lisa A. Dalesandro ISG - Industry Solutions Group Strategic Principal Service Industries.
AMI project for Israel Electricity Corporation
Greg Miller – EVP, Market Development
Tool Integration with Data and Computation Grid GWE - “Grid Wizard Enterprise”
Scott Muench - Technical Sales Manager
Microsoft Management Seminar Series SMS 2003 Change Management.
B O N N E V I L L E P O W E R A D M I N I S T R A T I O N Page 1 Pacific Northwest Smart Grid Demonstration Project  Largest Smart Grid Demonstration.
© 2014 IBM Corporation Does your Cloud have a Silver Lining ? The adoption of Cloud in Grid Operations of Electric Distribution Utilities Kieran McLoughlin.
3/12/2013Computer Engg, IIT(BHU)1 CLOUD COMPUTING-1.
1 © 2008 OSIsoft, Inc. – All Rights Reserved PI T&D Users Group via LiveMeeting June 18, 2008 Transmission & Distribution Webinar PI for Asset Model and.
Portland State University Smart Grid Class Enabling active consumer participation 20 April 2009 Presentation: History Politics Economics Technology.
Copyright c 2004 OSIsoft Inc. All rights reserved. Visualizing Performance Management Managing Information with RtPortal Gregg Le Blanc - OSIsoft Brian.
WHY VIDEO SURVELLIANCE
Unit 3 Virtualization.
Fan Engagement Solution
By: Raza Usmani SaaS, PaaS & TaaS By: Raza Usmani
Connected Living Connected Living What to look for Architecture
CIM Modeling for E&U - (Short Version)
IOT Critical Impact on DC Design
How SCADA Systems Work?.
Connected Living Connected Living What to look for Architecture
Introduction to Cloud Computing
Oil & Gas Integrated Operations using aspenONE

SmartMaster 2016 Controller
DAT381 Team Development with SQL Server 2005
WHY VIDEO SURVELLIANCE
Introducing MagicInfo 6
Villas, appartments, residence
Presentation transcript:

Ice Energy's Smart Grid Infrastructure Brian Parsonnet VP Technology, CTO

OSIsoft ( ) and Ice Energy (i e) i Youre Irrational!! Get Real!! e i + 1 = 0

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

Ice Bear: Typical Rooftop Installation

kW Demand over 24-Hour Cooling Cycle Standard Cooling (8 kW) Fan Only during Ice Melt (1.7 kW) Ice Make Ice Melt Cooling (.3 kW)

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

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 response…the Smart Grid. – How we facilitate integration is critical to large scale deployment

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

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?

The Utilitys Perspective: SCADA

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

Ice Energy Software Infrastructure Web Portal Business Logic Database Presentation Layer Field Data Access CoolData Controller Field Assets User Interface (Computer, hand-held, phone) Utilities, Users, Field Service, Vendors, Builders… Ice Bear & 3 rd Party Assets Ice Bear & 3 rd Party Asset Control, Data Logging HVAC & FMS Integration, Field Network Integ. Data Upload, Control, Programming, Configuration Data Historian, Customer Configuration & Rules, Service Records, Tariffs, ETL, … Integration (Utilities, Service, Market Data) M&V, Diagnostics, Analytics, DER Optimization Business Automation (Billing, Reporting…) Visualization, Presentation Logic Security, Personality

Ice Energy Software Technologies Microsoft, Apple Ice Bear & Customer Assets NI Lab View, Lua, C, C++, … SQL Server, Custom Drivers OSISoft PI, Sharepoint, SQL, Solomon Analytica, Ultimus, Microsoft LogiFusion,.NET 3.5 Web Portal Business Logic Database Presentation Layer Field Data Access CoolData Controller Field Assets

Device data Operational Systems Works System Integration Monitoring Services LogiWorks Application Server Enterprise applications Application Access Services WorksOffice Integration Enterprise data Data Central Services WorksDataPortal Works Services Business Information Services Works Process Business Process Services Works Integration Business Integration Points Works Modules Business Presentation Services Works Messaging Process Services Community Services User Interaction Services Information Services Works Studio Designer Tools Design Model Deploy Works Solutions Application Portal Works Manage Application Management Tool Manage Monitor Works Portal Business Application Services Application Framework Services

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

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 % (100% with 3-server collective) – Shadow Servers for auto-replication at remote locations

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

Portal Monitoring & Diags OSIsoft PI Customer / Site DB Data Viewer CoolData Server FMS CoolData Controller Service Marketing Scheduler, Optimizer Workflow PI is at the heart of the CoolData system

Monitoring & Diagnostics Absolute Sensor Limits (ACE) Modal Sensor Limits (ACE) Op Mode (ACE) KPIs (ACE) Auto Fault Diagnostics Application Data (AF) PI Notifications Raw & Cleansed Data (PI)

Monitoring Upper Bound Signal Lower Bound

Our Infrastructure is SCADA compatible 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 Utility Soltn PI

Diagnostic Migration Phase 1 Remote engineer creates off-line tool Results daily / weekly Phase 2 Algorithm moves to the server, applied to all units Results are hourly Phase 3 Algorithm moves to the CoolData Controller Results are immediate Web Portal Business Logic Database Presentation Layer Field Data Access CoolData Controller Field Assets

DER Control: Phase 1 – Autonomous 1) Utility defines operating schedule 3) Units control themselves, as per daily schedule 4) CoolData M&V 2) CoolData infrastructure distributes configurations 5) Utility dashboard Web Portal Business Logic Database Presentation Layer Field Data Access CoolData Controller Field Assets

Web Portal Business Logic Database Presentation Layer Field Data Access CoolData Controller Field Assets DER Control: Phase 2 – SCADA 6) Utility creates special loading orders, as needed 8) Units override default behavior as per request 9) CoolData M&V 7) DER Optimizer determines method, and acknowledges orders 10) Utility reporting Utility issues loading order: For immediate or scheduled deployment Shed or add load Scoped by region, transmission, other… Temporary or permanent changes DER Optimizer understands: GIS and T&D locations Maintenance / operational status Customer imposed restrictions Historical performance / expectation Communication limitations Additional DR assets

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.

Thank You Questions?