You are hereWhite House Energy Datapalooza: First Fuel
White House Energy Datapalooza: First Fuel
First Fuel delivers energy efficiency analytics to commercial building owners, giving them the insight to manage and upgrade their buildings effectively.
Transcript:
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Speaker:
Good morning.
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Yes, it's still morning,
doesn't feel like it.
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But I wanted to switch
gears this morning,
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after some great discussion
about consumer energy efficiency
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and data infrastructure, we're
going to be talking about
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commercial energy efficiency.
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And we're going to get local.
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We're going to get really
local and talk about this
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particular building.
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Okay, thank you.
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So we're in the Eisenhower
Executive building,
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it's a building this was built
in 1888 and went through a major
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renovation in 1999.
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The building is 660,000 square
feet and it houses primarily
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offices and administrative
support staff.
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Anyone want to guess what the
energy bill annually for this
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building is?
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Audience Member:
$4 million.
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Speaker:
That's pretty close.
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It's about $3 million annually,
and that comprises electricity,
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steam and natural gas.
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Is that too high or is
that just about right?
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Or asked another way, is
this building using energy as
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efficiently as it possibly can.
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And the way one would find that
out today is by getting a highly
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qualified energy engineer
into this building,
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take stock of all the equipment,
interview all the facility
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managers, look at past
historical energy bills,
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and roughly about a
month or six weeks later,
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deliver a report that identifies
how and where energy goes into
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this building and what
actions can be taken to reduce
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energy consumption.
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Let's extrapolate that out
to the rest of the country.
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There are 5.2 million commercial
buildings in the United States,
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they roughly consume about
20% of our nation's total
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energy consumption.
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Out of those buildings, from
the smallest pizza store to the
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largest convention center,
studies have shown that anywhere
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from 40% to 50% of that
energy is routinely wasted.
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The Better Buildings Challenge,
which you've heard about this
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morning, as well as
many mandates by city,
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state and local governments are
aiming to reduce consumption in
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commercial buildings between
20% and 30% in the next decade.
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So if it takes about a month to
do one energy audit to inform a
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building owner what they can
do to reduce consumption,
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it would take us 400,000 person
years just to inform building
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owners what the problem they
have with their buildings is and
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what they can do to
reduce consumption.
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And at that point, you haven't
saved a single kilowatt hour.
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You've just informed
people what they can do.
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So we're not going to meet
our energy efficiency goals,
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certainly not in commercial
buildings in 400,000 years.
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Okay?
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We have to do something
different, in fact,
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we have to do something that's
exponentially different.
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And that's what First Fuel
was started to accomplish.
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We are leveraging energy data to
dramatically change the game in
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how energy efficiency is
achieved in the commercial
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buildings sector.
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So if President Eisenhower
were alive today,
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arguably he would
press the blue button,
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but a doctor would look at the
data from a whole body MRI and
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read that information to
identify what ails the President
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and come up with remedies
to address those ailments.
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Most commercial buildings
like this one today collect
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information every 15 minutes
about the consumption of the
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whole building.
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And a chart like this
-- so I have a pointer?
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Sorry.
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Can I go back?
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There we go.
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So a chart like this captures
data every 15 minutes,
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and every pixel on that is
a consumption data point
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color-coded to identify what the
intensity of the consumption is
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at that point, from the lowest
point of consumption to the
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highest point of consumption.
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So across -- every single
line represents 24 hours of
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consumption, and that entire
chart represents a years' worth
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of historical consumption.
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Just like a doctor reads
the whole body MRI,
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First Fuel's analytics scan
through and identify patterns of
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usage in that
consumption history,
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such as when do people
come, when do people leave,
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when do the systems in the
building turn on and off,
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which days are occupied,
which days are unoccupied,
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and for every hour of every
day for the whole year,
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we can correlate how the
consumption changes as hourly
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temperature, hourly humidity,
hourly sun and hourly wind
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conditions change.
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So now, without ever setting
foot in the building,
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we can for this building, not
based on what the building
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should be doing from
theoretical models,
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not based on what other
buildings like it are doing,
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but based on its actual
energy consumption,
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we can now identify where
the energy in this building
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went last year.
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For example, 45% of the
consumption in this building
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went into HVAC, about
15% went into lighting.
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Benchmark each one of those
end uses and analyze them to
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identify which end use is
efficient and inefficient,
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and come up with recommendations
to address energy conservation
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in the building.
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In this building, we found 15%
savings opportunities on the
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electric side, and 24% savings
opportunity on the district
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steam side, collectively half a
million dollars worth of energy
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savings in large part just
through a set of operational
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changes that do not require
any retrofit investment.
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Energy data has the ability to
unlock energy efficiency in the
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commercial buildings sector
at extremely large scale.
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Besides the data that
I just showed you,
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which is the meter
data from a utility,
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or in this case from the GSA, we
used open data from the weather
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service and we used GIS mapping
data to understand the physical
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characteristics of the building.
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So without ever
stepping foot on site,
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we now are working with the GSA
in the recent pilot identified 4
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and a half million dollars'
worth of savings by analyzing 13
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million square feet of office
space that represented $1.2
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billion -- 1.2 billion KBTs
of consumption annually.
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So the way we get from where we
are today and to where we would
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like to get to within ten years
is by analyzing meter data and
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unlocking that data through
smart analytics to drive
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repeatable, trustable
and bankable savings.
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And that's how we're going to
make energy efficiency the
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true first fuel.
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Thank you.
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(applause)