Towards a Very Low Energy Building Stock: Modeling the U.S. Commercial Building Sector to Support Policy and Innovation Planning Page: 6 of 22
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graphical interface that allows exploration of the results and provides various forms of
aggregated data.
Figure 1: Essential model structure. In this example, a = floor area
(millions of square feet), and P = energy use intensity (kBtu/ft2)0
a)1980 1985
-1985 -19901980
A-A-A -1985
-1985
A-A-A 1985
-1990
A-A-A -1995
21995
A-A-B 2005
-2010
A-A-B -2015a=347.2
i=135
a=O
u=O
Ii=(Ia=341.8 .
i=134
a=354.1 * . .
11=112
1i=0a=0
13=(0
0E-G-W 2040
-2045
E-G-W 2045
-2050a=0
3=0
0,0. .
. . .a=0 a=O . . .
3=0 11=0
= 0 a= 0 A
(3=() =(2000 2005
-2005 -2010
u=358.3 a=360.2
Ii=101 Iz=94
a=391.2 a=402.1
13=89 Ii=87
a=304. I a=302.4
*=115 0=115
a=0 a=897.2
13=0 13=72.1a=0
1=02010
-2015
a=373.7
1i=93
a=387.5
1;=85
a-307.3
1i=112
a=873.4
1i=71.4
u=856.1
P=89.2Ia=O a=0 a=0
=O P=O 0=0a=0
11=0." . . 2045
-2050
. . . u=268.4
1i=76
. u . (=301.2
1i=43
. . u=a309.2
13=97
... a=854.1
P=25.8
. . . u=789.2
P=35.6
0-
p=82
.. . a=25.4
11=18.3a=O a=
4 historical dataprojections 0
With this flexible basic structure, categories and attributes can be easily added or
removed for model customization or further development. At its most detailed extreme,
each building in the stock could be considered as its own category, and the attributes
could be very detailed descriptions of each building. In practice, we have started with a
few key categories and attributes, based partly on what is most important and partly on
what data is currently most readily available.
Categories, Attributes and Historical Data
For the implementations discussed below, the stock is categorized by region, building
type, vintage and life-cycle stage, and the attributes are floor area, EUI broken down by
fuel type and end use, and CO2 emissions. For the national model, based on CBECS data,
these categories are as shown in Table 1.
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Coffey, Brian; Borgeson, Sam; Selkowitz, Stephen; Apte, Josh; Mathew, Paul & Haves, Philip. Towards a Very Low Energy Building Stock: Modeling the U.S. Commercial Building Sector to Support Policy and Innovation Planning, article, July 1, 2009; Berkeley, California. (https://digital.library.unt.edu/ark:/67531/metadc932302/m1/6/: accessed April 25, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT Libraries Government Documents Department.