
Principal
The focus of this report is annual
residential energy consumption under three energy code conditions. The codes compared are:
These codes were compared in the
Homes constructed according to the
requirements of the 2003 IECC consumed less energy annually for heating and
cooling in the Chadron and
Based on the results data, we
expect that the 2003 IECC will consume less energy for
There are several important
differences between the 2003 and 2006 IECC codes. Under the 2003 code,
A second key difference between
the codes is that the 2003 IECC requires more insulation to be used when houses
have a larger percentage of windows.
This acts both as an incentive for builders to limit the percentage of
windows and to partially offset the increased energy consumption that occurs as
the amount of window area increases. The
2006 IECC drops this requirement: there
is no limit on the window area that can be installed, and there is no longer a
requirement to offset the energy consumed by the larger window area with
increased insulation elsewhere in the house.
This is why the houses in
A third difference is that the
2006 code allows builders to use less insulation in ceilings and floors if the
insulation fills the framing cavity. This
potentially allows houses to be constructed with much less insulation than the
2003 code would allow. These lower
insulation values were not used in this study, but even without using them, the
2003 IECC used less energy in most cases.
The study considers the annual
energy consumption of houses constructed according to the 2003 and 2006 IECC
energy codes. Energy use was modeled for
three cities selected to represent climate zones in the state: Chadron,
Four houses were modeled for the
study. These include a small ranch style
house with 1,453 square feet (sf), a medium ranch style house with 1,852 sf, a
medium two story house with 2,103 sf, and a large two story house at 2,932
sf. Each house was modeled with both 12%
and 18% window to wall area ratio. Occupancy
and usage patterns were based on national data for average use.
The modeling approach and houses
used in this analysis were based on those used for a 2003 study of
Energy codes establish minimum insulation requirements for both commercial and residential buildings. Residential codes benefit homeowners by ensuring that newly constructed homes make use of modern techniques and products that make houses energy-efficient. This results in lower energy bills and often improved thermal comfort for the homeowner, and optimal utilization of fossil fuels and nonrenewable resources for communities. Codes also level the playing field for builders by requiring a basic level of quality in areas that homeowners might not see when they are buying a house, for example, the insulation in the walls.
This report was prepared with the
support of the U.S. Department of Energy (DOE) Grant #DE-FG48-02R830105. The findings, conclusions, and
recommendations herein are those of the author and do not necessarily reflect
the views of DOE.
The objective of this study was to compare the energy impact
for
The four houses studied were
based on those used for a previous study of the life cycle cost impact of
adopting the 2000 IECC in
The census data also include
some information on the distribution of sizes.
This was used to estimate the 20th and 80th
percentile house sizes for the study.
The 20th percentile
The four selected house plans
were: a ranch house at the 20th
percentile, a ranch house at the mean size determined by the survey of
One difference from the previous
study is that the four houses were modeled with window to wall area ratios of
both 12 and 18%. Previously, the houses
were modeled with the actual window area shown on the building plans.
|
House |
Plan area |
Style |
Ceiling height (range, ft) |
Above grade exterior wall area
(sf) |
|
20th percentile |
1,453 sf |
ranch |
7.5-10.0 |
1,530 |
|
Surveyed mean |
1,852 sf |
ranch |
7.5-10.0 |
2,070 |
|
|
2,103 sf |
2 story |
7.5-9.0 |
2,620 |
|
80th percentile |
2,932 sf |
2 story |
7.5-12.7 |
2,540 |
Table
1. Characteristics of houses modeled.
According to the survey, 92% of
An air infiltration rate of 0.5
air change per hour was used in modeling the above ground portions of all four
houses under all three code conditions.
Basements located below grade are modeled with 0.2 air change per hour
to reflect their reduced tendency toward air exchange with the outdoors. Air infiltration rates in
Occupant behavior and heat gains associated with people and their activities influence the energy required for heating and cooling. This study assumes a family of four living in each house with one adult and one child who are home during the day, while the other adult and child are away from home during the workday. The heat gain from each adult occupant was modeled as 250 Btu/hr sensible and 200 Btu/hr latent5. The two children were modeled as having 75% of this heat gain.
The occupancy schedule is as follows: one adult and one child are modeled as being
away from home between
Occupants’ use of setback thermostats also influences heating and cooling energy consumption. This model assumes a thermostat setpoint of 70°F in the winter and 76°F in the summer. These conditions are within the American Society of Heating, Refrigerating, and Air Conditioning Engineers (ASHRAE) comfort ranges for people seasonally dressed. No setback thermostat settings were used.
Sensible internal heat gains include the occupants themselves (discussed above), appliances, and lighting. Heat gains for some appliances, such as refrigerators, are generally independent of occupant activities. The usage of other appliances, such as televisions, depends on occupant activity. Sensible loads for appliances were computed primarily based on national residential statistics published by the Energy Information Administration (EIA)5. This report shows that the average American home consumes approximately 34.6 million Btu annually for appliances that contribute to internal heat gain. These gains were broken into two categories: those related to occupants and their activities, and those that are nearly constant. The occupancy-related sources account for 18.2 million Btu, and are (in decreasing order of magnitude): hot water, lighting, clothes dryers, color televisions, cooking, dishwashers, microwave ovens, personal computers, VCRs, clothes washers, stereos, and laser printers. Sources that are independent of occupancy account for 16.4 million Btu and are (in decreasing magnitude): refrigerator, freezer, waterbed heaters, ceiling fans, aquariums, answering machines, battery chargers, cordless phones, fax machines, and residual items. The contribution of each item to energy use is weighted to account for their frequency of occurrence in the nation’s housing stock.
Internal heat gains are also related to house size. The EIA reports median energy expenditures based on number of rooms. These were divided by the median national household energy expenditure to obtain a factor that was used to scale the non-occupancy related heat gains. The occupancy related heat gains are more likely to be related to the number of occupants than the size of the house, so they were not scaled.
To coincide with occupant activities, the occupancy-related
sources were scheduled to occur from
|
House size (sf) |
# of rooms |
% |
Occupant related gains (Btu/hr) |
Non-occupant related gains (Btu/hr) |
|
1,453 |
5 |
96 |
7,955 |
1,790 |
|
1,852 |
6 |
111 |
7,955 |
2,069 |
|
2,103 |
8 |
143 |
7,955 |
2,668 |
|
2,932 |
9 |
182 |
7,955 |
3,413 |
|
|
N/A |
100 |
7,955 |
1,872 |
Table 2. Internal sensible heat gains from equipment.
Latent loads also contribute to a home’s cooling energy
consumption. For an average family of
four, Canada’s Institute for Research in Construction7 recommends
the following latent loads: respiration from the occupants themselves, 5,760
Btu/day for occupancy related activities (including showering, bathing,
dishwashing, cooking, and cleaning), and 5,760 Btu/day from other sources
(including construction moisture, seasonal storage, basements and crawlspaces,
rain penetration and unknown sources).
Latent loads from the occupants themselves were modeled according to the
occupancy schedules. To achieve the
daily rates above, latent loads from occupant activities were modeled using the
same schedule as for occupancy-related sensible loads at a rate of 960
Btu/hr. The other latent loads were
modeled as constant throughout the day at a rate of 240 Btu/hr.
Three different energy code
conditions were modeled. These included
the 2003 IECC (International Energy Conservation Code) and two different
conditions to represent both the 2006 IECC and the 2006 IRC (International
Residential Code). Chapter 11 of the
2006 IRC is nearly identical to Chapter 4 of the 2006 IECC, and the
prescriptive requirements for the two codes are identical for the houses in
this analysis. Thus for the remainder of
this report, these cases will be referred to as the “2006 IECC/2006 IRC”.
The 2006 codes contain several
major changes. First, the entire state
of
Table 3 summarizes the required
component values for the code conditions modeled. The requirements shown above in Table 3 are
associated with the “simplified prescriptive track” of each code, which is the
easiest and most often used means of code compliance. An exception is the requirement for the 2003
18% window to wall ratio cases, for which the simplified prescriptive track
cannot be used. A more detailed prescriptive
track with similar tabular values taken from Chapter 5 of that code was used instead.
|
Component |
2003 IECC |
2003 IECC |
2006 IECC/IRC (case a) |
2006 IECC/IRC (case b) |
||||
|
15% or less window to wall ratio |
18% window to wall ratio |
|||||||
|
|
|
Chadron |
|
|
Chadron |
|||
|
Glazing U-factor |
0.35 |
0.35 |
0.35 |
0.34 |
0.33 |
0.33 |
0.35 |
0.35 |
|
Glazing SHGC |
none |
none |
none |
none |
none |
none |
none |
none |
|
Opaque door U-factor |
0.35 |
0.35 |
0.35 |
0.35 |
0.35 |
0.35 |
0.35 |
0.35 |
|
Ceiling R-value |
38 |
49 |
49 |
49 |
49 |
49 |
38 (note a) |
38 (note a) |
|
Wall R-value |
18 |
21 |
21 |
22 |
22 |
25 |
19 |
13+5
(note b) |
|
Floor R-value |
21 |
21 |
21 |
19 |
25 |
30 |
30
(note c) |
30
(note c) |
|
Basement wall R-value |
10 |
11 |
11 |
10 |
11 |
15 |
10/13
(note d) |
10/13
(note d) |
|
Forced air furnace (AFUE) |
80% |
80% |
80% |
80% |
80% |
80% |
78% (note e) |
78% (note e) |
|
Central air conditioning
(SEER) (note f) |
13.0 |
13.0 |
13.0 |
13.0 |
13.0 |
13.0 |
13.0 |
13.0 |
Table
3. Component requirements by building
code.
Note a: Both codes allow R30 to be substituted if the
uncompressed R30 extends over the top plate at the eaves. In the 2006 Code, R30 may also be used for
ceiling areas of up to 500 sf with no attic.
The 2003 Code does not limit square feet.
Note b: 13+5 refers to R13 cavity insulation plus R5
insulated sheathing.
Note c: Less than R30 may be used if sufficient to fill
the framing cavity; with a minimum of R19.
Note d: R10 may be used if insulation is continuous;
R13 must be used if insulation is placed in the framing cavity.
Note e: The “prevailing minimum federal efficiency of
78% is required, but 80% is widely installed and was used for the
analysis.
Note f: The 2003 IECC required 10.0 SEER, but is no
longer available since the minimum federal efficiency increased to 13.0 is
2006. 13.0 SEER is used for the
analysis.
There is no Solar Heat Gain
Coefficient (SHGC) requirement for glazing in climates with more than 3,500
degree days. For modeling, a default
SHGC of 0.66 was used for all cases modeled.
This represents double glazed clear fenestration with operable metal
frames or fixed nonmetal frames.
The 2006 codes are less
stringent than the 2003 IECC in a number of areas. They do not require a lower glazing U-factor
for larger window to wall ratios. The
2006 required ceiling R-value and wall R-value are lower than that required for
all but the
The R-value for framed floors
over unconditioned spaces required by the 2006 code is larger than that
required by the 2003 codes. However, the
houses in this study had only small areas of this type of floor, which was limited
primarily to framed floors over garages.
The 2006 codes also require more basement wall insulation than most of
the 2003 cases. Modeling was performed
with basement insulation in cavity walls, so R13 was used for the 2006 code.
Mechanical equipment
efficiencies were modeled as 80% AFUE for forced air furnaces and 13.0 SEER for
air conditioning for all of the cases.
The 2006 codes do allow a 78% AFUE furnace to be installed, but 80% AFUE
is widely used and comparable in cost.
Likewise, the 2003 code did allow a 10.0 SEER air conditioning unit to
be used, but these are no longer available due to an increase in the federal
minimum efficiency requirement.
Three cities were chosen to
represent the climate variation in
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