Real time energy monitoring in the context of smart Grid Francois J. Gagnon Business Development, Facilities Empowering Business in Real Time.

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Smart Grid: Driving towards Energy Efficiency 85% of our carbon emissions reductions will come from Energy Efficiency!

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THE FUTURE ENERGY MIX… The changing landscape… • Tremendous renewable energy resources • Renewable Portfolio Standards • Increasing Intermittency Challenges • Large Commercial & Industrial Base • Electricity/Carbon as a product cost increasing • “Smart” grids as an enabling technology

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What is the smart Grid

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Utility Perspective on Smart GRID

• We see a lot of investment in the “Smart Grid”…a lot of this investment goes to AMI projects… • Primarily driven by the CFO/CIO office, in support of billing requirements • However, some utilities are starting to see the need for operational level data, and to go “below the meter” and fundamentally changing the utility/user role • Resulting in Hierarchical Structures, Real-Time Models (CERTS , DER-CAM, DEW, CIM et al) and MASSIVE DATA 8

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Data,

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Data, Data and more

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Data

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Data Management at Xcel Energy’s SmartGridCity™ • BOULDER city, Colorado • PI-ODMS: Blend of meter and operations data on one system • Full deployment represents: four substations, 25K customers & 25 feeders • Contains: Generation stats, Operational & NonOperational Substation Data, Feeder Data, Residential and C&I Metering • Also contains: Real-time calculations & “roll-up” • Growing toward one million points with 2-second to 15-minute scan/updates • Provides an end-to-end, seamless view of the business 10

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PI as a MDUS and ODMS

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Corporate Server Contains Data from Subs, Meters and Multiple Other Sources – 1 million points Wind

Com Ops

SCADA

S U B 3

Substation

Substation

S U B 1

S U B 2

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“Roll-up” “Rollcalcs and Substation views access this ODMS server

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Res/C&I Meters

S U B 4

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Understanding the “Roll“Roll-up”

•Key Points: • Each trend shown is aggregated load (kWh) up to the next higher trend from an individual meter, transformer, line segment, breaker, and sub. • If you overlay the Distribution SCADA load (from PI), the difference would be losses or leakage •The physical model is in AF (CIM) allowing the aggregation and roll-up of individual loads • End to End Utility visibility – Basic PI integrating meter and distribution system(s) operational data – to the meter….but what about going below the meter? 14

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“Roll-up” Mechanism: “RollNet KWh RollRoll-Up Orange = All distribution transformers summed to circuit segment Blue=All AMI Meters summed to distribution transformer

Green = Individual AMI Meter

Cyan = total feeders summed to sub

Purple = circuit segment summed up to feeder 15

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Commercial & industrial perspective

Micro Grid: The Industrial and Commercial User on the Smart Grid

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Commercial & industrial perspective Microgrids as a solution?

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What is a Microgrid? It is a collection of generation sources and loads that can be separated seamlessly (“islanded”) and bumplessly (e.g. usually contain some form of high speed storage) from the main grid and reconnected and during this time, frequency and load balance are controlled locally in the Microgrid.

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Typical Microgrids can be large factories with internal power generation, large industrial or commercial complexes and other facilities with backup power generation such as universities, dhospitals and data centers, renewable or V2G (Vehicle to Grid) energy power, and distributed renewable energy sources from solar or wind.

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What is a Microgrid – Commercial/Industrial Perspective

Ice energy

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Notify

Simplified Architecture Shows Data Flow

Email, Desktop, and Pager alerts

AHU

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Control of hundreds of micro grids

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Case study, Harvard Medical School Facilities Department • Longwood Medical Area – 58,000 People 213 Acres – 51% Of All Hospital Visits

• 2 Miles From Downtown Boston • 17 Buildings

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About Harvard Medical School Facilities Department • 2.8 Million Square Feet • Full Time Contracted Staff of 60 • Facilities Management – 18,000 Maintainable Assets, 24/7 Call Center, 200 Node BMS • Energy Usage – 15 Mw Electric, 70K lbs/hr Steam, 10k+ Tons Chilled Water, $25 Million Annual Utilities

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Harvard Medical School Sustainability and GHG  Starting point 2006 57,266 MTCDE 2008 57,592 MTCDE  Goal 2016 40,086 MTCDE  30 % GHG Reduction  15% will be from O&M 24

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Harvard Medical School Sustainability and GHG • Approx. 60 Primary Meters • Approx. 112 Tenant and Sub-meters • 172 Total CHW / Steam / Electric / Air

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Harvard Medical School Facilities Management • Event Analysis

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Harvard Medical School Sustainability and GHG

 Automated Load Shedding

 Real Time Energy Use on Web for Public 27

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Harvard Medical School Sustainability and GHG

 Analyze Energy Usage  Model Building Performance  Trend ‘Creep’

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Harvard Medical School Sustainability and GHG

• View Impact of Sequence / Strategy Change • Daily Energy Report

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Energy monitoring and smart grid /micro grid

Utility perspective

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Scalability is critical for success on utility side

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End-to-end visibility of the entire distribution network is a significant value

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Massive Data needs context and hierarchical structures

Commercial and industrial

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High penetration renewable energy introduces intermittency and opportunities for IDEA members

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The “energy mix” of the future will be a mix of bulk supply (conventional/renewable) and distributed

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•

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Micro grids change the utility relationship with the industrial and commercial user, shifting “below the meter” Get ready to be part of the smart grid

Value now. Value over time.

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