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Smart Consumption Solutions
Siemens Industry, Inc. Building Technologies
AgendaAgenda
•What exactly is the Smart Grid?
•Smart Buildings and Smart Consumption
•Intelligent Load Management (ILM) the Next Generation in Demand Response
•MicroGrids
•LEED Points
WHAT EXACTLY IS THEWHAT EXACTLY IS THE
SMART GRID?SMART GRID?
Smart Consumption is driven by US market trends
Green/Energy - part of corporate strategic planning
Motivating factors – energy cost savings, enhanced public image and attracting new customers
LEED certification
Buildings need to integrate energy generation capabilities
Alternative and renewable energy Distributed generation and micro-grids Net Zero Buildings: e.g. CA legislation
Governments mandate energy efficiency
15% energy reduction by 2015 Cut emissions 28% by 2020 DoD new construction after 2015: Net Zero Energy
Green/Energy Efficiency is attractive for investment
Green power is the #1 Venture Capital (VC) investment beating IT and Biotech with 27% of all VC investments
Decision makers are focused on energy efficiency - $ reduction
Decision makers attention up 71% year-over-year Buildings consume 40% of worldwide energy
Smart Grid Dept of Energy $3.4 billion investment in technology New rules and business models - aggregators
Before
One-way limited communication
One-way power flow
Centralized generation
No electric vehicles
Few sensors and analog control
Little to no consumer choice
Reactive maintenance
Limited usage transparency
Smart Grid:Yesterday and Today
After
Power
Information
Bi-directional and instantaneous communication and metering
Bi-directional power flow
Millions of electric vehicles
Applications
Pervasive monitoring and digital control
Self-monitoring & high visibility
Many consumer choices
Condition-based maintenance
Proliferation of numerous applications
Smart Grid: Tomorrow’s Integrated Grid
The transition has begun, with peak-demand management (demand response, ILM), and dynamic pricing (e.g. critical peak pricing programs)TODAY
Smart Grid adds full communications, intelligence and transparency to the grid
DistributionTransmissionGeneration Consumption
Grid management
Virtual Power PlantNegawatts
Smart Grid - Smart Consumption - Smart Buildings
Energy storage Pricing CO2 reduction
Energy efficiency E-car integration
Optimizing
Avoid investments in new power plants
Increase power quality Integrate volatile renewable
energy E-Car charging
Balancing the grid
Consumption follows GenerationThere is no Smart Grid without Smart Buildings
Intelligent Load Management (ILM)
Price of electricity supplySupply
Quantity
QDRQ
P
PDR
Price reduction
Peakdemand reduction
Demand
Consumption to grid
Supply
24h0h
Smart Consumption
Applications
Two-way communication with utilities
Proactive energy management / smart consumption
Energy sources with onsite generation assets
Storage capacity for added flexibility
Active carbon management
1
2
3
4
5
1
2
5
3
4
Smart Building
Smart Building
Smart grid infrastructure
Efficiency built into building systems and integration into the Building Automation System
StorageOnsite generationControl strategiesDemand
Consumption to grid
Supply
24h0h24h
Base loadDemand
0h
Consumption
to grid
Smart consumption infrastructure
Energy management applicationsOpenADR
ZigBeeBACnet
Transparency infrastructure
Smart Building: Infrastructure
Real-time MonitoringReal-time MonitoringReal-time MonitoringReal-time Monitoring Public InterfacePublic InterfacePublic InterfacePublic InterfaceAnalysis & ReportingAnalysis & ReportingAnalysis & ReportingAnalysis & Reporting
Building Performance Dashboard
Built for public viewing Web based
Energy Monitoring & Control (EMC)−Remote database−Historical data−Web based−Integrated Data
Sources−Executive Dashboard−Detailed Analysis
Facilities / Engineering
Facilities / Engineering, Energy / Utilities + Financial, Green /
Sustainability
Visitors, Employees, Occupants, General PublicP
rim
ary
Use
rs
Pri
mar
y U
sers
Pri
mar
y U
sers
Smart Building: Monitoring, Analysis and Reporting
INTELLIGENT LOAD MANAGEMENT INTELLIGENT LOAD MANAGEMENT (ILM) (ILM)
THE NEXT GENERATION OF DEMAND RESPONSETHE NEXT GENERATION OF DEMAND RESPONSE
Why do we need demand response?
Every Person who gives up their seat is a “Negawatt” and will receive compensation for giving up a seat.
In other words the utility company will pay you to reduce your load during peak demand
An oversold or undersold flight is similar to the electrical grid at capacity….
Intelligent Load Management
Leverages existing BAS equipment to generate cash payments through automated load management
Allows building operators to participate in Demand Response, Critical Peak Pricing and Smart Grid programs through local utilities
Balances multiple factors: Corporate standards Efficiency Financial Site conditions
The technology leader in multi-site load aggregation with proven financial results
An event notification is received via a change in event status from the Demand Response
Automation Server
Our Intelligent Software Aggregation Engine acknowledges an event is being called
Within 1 minute of initial dispatch, load begins to ramp down at customer sites
Our Aggregation Engine relays signal toonsite communicators and notifies the
customer simultaneously
- Siemens high-tech approach facilitates reliable participation in short notice programs.
- Due to our real-time visibility Siemens is able to shield the customer, and itself, from penalty risk.
<1
Min
ute
Res
po
nse
Tel
emet
ryHow does it work?Completely Automated DR Solution
We work to make sure your building stay within set parameters to minimize impact and maximize revenue…
Buildings can provide capacity to the grid during peak events- by reducing consumption where it is curtailable for a period of time. This capacity is valuable, and we help our customers to make the most of it.
Peak demand “event” on the grid:- kWh prices are high (dynamic pricing, CPP programs)- Utility pays bonuses to consumers who can curtail load.
Basically, power can be “sold back”
In many areas, “ratchet clauses” increase a customer’s electricity rate for the whole year if their demand exceeds a given kW threshold at any time.
$
Real Time Monitoring Dashboard for Demand Response
Real Time Monitoring Dashboard for Demand Response
Manual DemandResponse
Semi-AutomatedDemand Response
Description
Reliability ofCapacity
Speed
PricingEfficiency
Labor-intensive Manually turn off or change set points on each asset node
Unreliable Process dependent on human interaction and ability to make changes at a given point in time
Very slow
Poor, capacity not reliable
Pre-programmed response is initiated by a person
Person uses centralized control system
Unreliable Process dependent on human interaction and ability to make changes at a given point in time
Possibly slow
Poor, capacity not reliable
No human interactionExternal
Communication signalOverrides of nodes or
systems are possible
Verifiable Overriding nodes
hard to project / plan
Fast
Moderate, reliability is questionable or is
discounted due to possible overrides
ILM ™
Logic that sits at a layer above Fully Automated Demand Response system
Override of node or systems are possible Continuous management of
load
VerifiableDiversified, redundant and managedLoad balanced across multiple sites / enterprise
Fast, 2 minutes or less
Efficient, loads are managed and reliable which reduces the discounting of capacity
or price
Fully AutomatedDemand Response
Traditional DR
Siemens Intelligent Load Management
Comparison of ILM to Traditional Demand Response
ILM Technology Features and Benefits
Benefits
100% automated response
No on-site personnel needed to implement response measures
Capacity on-demand
Internet based
“Light Touch” – loads are shed gradually and dynamically, according to customer priorities
Unique Technology Features
New source for incentives
Intelligent automation
Reduced energy expenses
Earn LEED points
Improved Corporate Social
Responsibility (CSR)Carbon negative power
generation
DYNAMIC BUILDING/CAMPUS DYNAMIC BUILDING/CAMPUS OPTIMIZATION OPTIMIZATION
WITH WITH MICROGRIDSMICROGRIDS
Large campus customers are seeking advanced solutions
Stage 1 Focus on core
operations
Stage 2 Energy savings via
conventional demand side energy strategies
Stage 3 Energy reduction using advanced and/or basic
dynamic strategies
Stage 4 Continuous
demand/supply optimization based on
internal & external factors
Stages in energy infrastructure maturity
2015
75%
50%
15%
30%
5%
15%
5%
Source: Customer interviews, Smart Consumption – large commercial team
2010
% o
f m
arke
t
• Clean electricity, heating and cooling generated by local energy source, e.g. solar, geothermal, natural gas, etc.
Realize high level energy self-sufficiency through advanced energy management system
Continuous operation in islanding mode when external network faults
Optimal energy management achieve both economic and ecological targets
Improved energy efficiency Integrated renewable power generation Supply and demand balancing High electricity reliability Safe, easy-to-operate and modular solutions
that may be upgraded as required
Functions and Benefits of Microgrids
A microgrid power system Key Functions
Benefits
Microgrids have higher reliability, economic & ecological benefits
The Smart Energy Box allows buildings or groups of buildings to react flexibly to the Smart Grid
• Pilot projects at UC Berkeley and Carnegie Mellon, US Air Force Academy
• Uses Energy Plus to simulate alternative control strategies / schedules, then chooses the best control strategy
• Communicates with the Smart Grid, reacting to Dynamic Pricing and Demand Response signals
• Communicates with field devices via BACnet and plug-load protocols (JADE)
• Keeps the building within operational parameters
• Integrates weather forecasts and occupancy inputs into its optimization
• Allows the building to re-schedule activities dynamically in response to changes in weather or energy cost
Higher Education Building Technologies Council
DEMAND DEMAND RESPONSE AND RESPONSE AND LEEDLEED
Points Available
CreditCredit PointsPoints DescriptionDescription
PC8 (LEED 2009 NC & EBOM)
1 Manual, Semi- or Fully-Automated Demand Response
2012 NC – Case 1, Option 1
1 Manual Demand Response
2012 NC – Case 1, Option 2
2 Semi-or Fully-Automated Demand Response
2012 NC – Case 2 1If no DR Program in area, have in place infrastructure for future DR or Real time pricing program when it becomes available
2012 EBOM – Case 1, Option 1
1 Manual Demand Response
2012 EBOM – Case 1, Option 2
3 Semi-or Fully-Automated Demand Response
2012 EBOM – Case 2 1If no DR Program in area, have in place infrastructure for future DR or Real time pricing program when it becomes available
Demand Response Credit