The Stats Page
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U t a o l r -L w Su u lf r / 51 ppm a dn u den r
eeW k d g En in
District
11/01/13 10/25/13 Year Ago
East Coast (PADD 1):
24.2
25.2 17.9
NEW ENGLAND:
1.9
1.9
1.7
MID-ATLANTIC:
12.1
13.3
7.5
SOUTHTO FLA:
10.2
9.9
8.8
Midwest (PADD 2):
25.0
26.5 26.7
Gulf Coast (PADD 3):
30.4
32.7 25.5
Rocky Mtn. (PADD 4):
2.9
3.2
2.9
West Coast (PADD 5):
12.1
11.8 10.9
U.S. Total
94.6
99.5
84.0
oL w Su ulf r / 51 ppm+ to 500
ppm
eeW k Ending
District
11/01/13 10/25/13 Year Ago
East Coast (PADD 1):
1.4
1.9
0.6
NEW ENGLAND:
0.0
0.0
0.0
MID-ATLANTIC:
1.0
1.5
0.3
SOUTHTO FLA:
0.4
0.4
0.3
Midwest (PADD 2):
0.6
0.5
1.2
Gulf Coast (PADD 3):
1.5
1.6
3.1
Rocky Mtn. (PADD 4):
0.1
0.1
0.2
West Coast (PADD 5):
0.3
0.4
0.7
U.S. Total:
3.9
4.5
5.8
Greater than 500 ppm (0.05%) Sulfur
Week Ending
District
11/01/13 10/25/13 Year Ago
East Coast (PADD 1):
12.2
12.1 19.7
NEW ENGLAND:
5.5
5.1
5.8
MID-ATLANTIC:
5.8
6.0 12.8
SOUTHTO FLA:
0.9
1.0
1.2
Midwest (PADD 2):
0.7
0.7
1.2
Gulf Coast (PADD 3):
5.2
4.7
6.2
Rocky Mtn. (PADD 4):
0.2
0.2
0.2
West Coast (PADD 5):
1.1
1.0
1.0
U.S. Total
19.3
18.8
28.2
TOTAL DISTILLATE STOCKS
Week Ending
District
11/01/13 10/25/13 Year Ago
East Coast (PADD 1):
37.8
39.1 38.3
NEW ENGLAND:
7.4
7.0
7.5
MID-ATLANTIC:
18.8
20.8 20.5
SOUTHTO FLA:
11.5
11.3 10.3
Midwest (PADD 2):
26.3
27.8 29.0
Gulf Coast (PADD 3):
37.0
39.1 34.8
Rocky Mtn. (PADD 4):
3.2
3.5
3.3
West Coast (PADD 5):
13.4
13.2 12.7
U.S. Total
117.8
122.7 118.1
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Selected U.S. Cities
(Population Weighted Heating Degree Days)
The weather for the nation, as
measured by population-weighted
heating degree-days from July 1, 2013,
through November 9, 2013, has been
6 percent warmer than last year and 9
percent warmer than normal.
Current
Normal
% Change
7/1/13
7/1
Current
thru
thru
vs.
Location
11/09/13
11/09
Normal
Boston
506
592
-15%
Chicago
640
716
-11%
Hartford
668
725
-8%
NewYork
327
417
-22%
Philadelphia 359
443
-19%
Pittsburgh 570
694
-18%
Portland
836
984
-15%
Providence 579
651
-11%
Raleigh
273
316
-14%
Richmond 245
367
-33%
Washington 274
344
-20%
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Intelligent efficiency refers to a system-
atic approach to saving energy that marries
traditional energy efficiency with wireless
and cloud-based computer technologies,
according to the American Council for
an Energy Efficiency Economy (ACEEE).
A recent report from the Council,
Intelligent
Efficiency: Opportunities, Barriers, and
Solutions
, estimates the economic potential
of intelligent efficiency and projects that
annual energy cost savings for the com-
mercial and manufacturing sectors could
exceed $50 billion.
“Some of the most vexing problems
when it comes to energy efficiency have to
do with measuring and verifying (M&V)
savings,” the Council reports. “Maintaining
savings after the implementation stage is
often challenging as well. However, thanks
to advances in information and communica-
tion technologies, some of these problems
may soon be things of the past. This is
because intelligent efficiency measures are
smart: they can fix failures and save energy
that would otherwise have been lost.”
Intelligent efficiency is smart, according
to ACEEE, because it achieves new savings
through its ability to analyze data and
develop new ways to refine our ability to
save energy. These “smart” energy mea-
sures will be networked and able to harness
large volumes of historical data, run parallel
simulation modeling, and identify newer,
more efficient methods of operating that
increase the efficiency of the building or
process over time.
Intelligent efficiency also fixes system
failures that often otherwise go undetected,
ACEEE reports. For example, building
automation and industrial production
management systems can identify devices
not operating according to specification, or
those that are working harder than needed
to achieve desired results. Intelligent effi-
ciency has the power to save what otherwise
was lost by ensuring that the energy savings
resulting from the implementation of an
efficiency measure persist over time.
With the ability of automated systems to
optimize performance and provide savings
performance data in real time, efficiency
programs can start including automation
projects in their portfolio of eligible projects,
realizing lower M&V costs, the Council
reports. This could revolutionize energy
efficiency programs by enabling them to
focus on providing financial assistance for
saving energy rather than on purchasing
energy-efficient equipment.
