Smart Consumption Solutions

whirrtarragonElectronics - Devices

Nov 21, 2013 (3 years and 9 months ago)

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Smart Consumption
Solutions




Siemens Industry, Inc. Building Technologies




Agenda



What exactly is the Smart Grid?



Smart Buildings and Smart Consumption



Intelligent Load Management (ILM) the Next Generation in
Demand Response



MicroGrids



LEED Points








W
HAT

E
XACTLY

IS

THE



S
MART

G
RID
?







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

Distribution

Transmission

Generation

Consumption

Grid management

Virtual Power Plant







Smart Grid
-

Smart Consumption
-

Smart Buildings


Energy storage


Pricing


CO
2

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 Generation

There is no Smart Grid without Smart Buildings


Intelligent Load Management (ILM)

Price of electricity supply

Supply

Quantity

Q
DR

Q

P

P
DR

Price
reduction

Peak

demand
reduction

Demand

Consumption

to grid

Supply

24h

0h

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

Storage

Onsite generation

Control strategies

Demand
Consumption
to grid
Supply
24h
0h
24h

Base load

Demand

0h

Consumption

to grid

Smart consumption infrastructure

Energy
management
applications

OpenADR

ZigBee

BACnet

Transparency infrastructure

Smart Building: Infrastructure







Real
-
time Monitoring

Public Interface

Analysis & 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 Public

Primary
Users

Primary
Users

Primary
Users

Smart Building: Monitoring, Analysis and Reporting



I
NTELLIGENT

L
OAD

M
ANAGEMENT

(ILM)

T
HE

N
EXT

G
ENERATION

OF

D
EMAND

R
ESPONSE






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 to

onsite 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 Minute Response Telemetry

How 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 Demand

Response

Semi
-
Automated

Demand Response

Description

Reliability of

Capacity

Speed

Pricing

Efficiency



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 interaction


External
Communication signal


Overrides 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



Verifiable


Diversified, redundant


and managed


Load 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 Automated

Demand 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



D
YNAMIC

B
UILDING
/C
AMPUS

O
PTIMIZATION


WITH


M
ICRO
G
RIDS









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

% of market








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





D
EMAND

R
ESPONSE

AND

LEED







Points Available

Credit

Points

Description

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

1

If 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

1

If no DR Program in area, have in place infrastructure for future
DR or Real time pricing program when it becomes available

Demand Response Credit